# Ai4 2026 agenda

755 sessions. Times are Pacific (venue local). Updated 2026-10-24T07:49:59.647Z.
Build a personalized agenda: https://ai4.com/agenda-builder/

## Sunday, August 2, 2026

### 2:00 PM–6:00 PM · Registration Open
Registration · Venetian Expo Lobby
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDQwMDM5Mw==

## Monday, August 3, 2026

### 9:00 AM–5:00 PM · Applied AI Research Conference (AAIRC) [RSVP REQUIRED]
Research Summit · Palazzo Ballroom B
Page: https://ai4.com/sessions/applied-ai-research-conference-aairc-rsvp-required/

This conference connects academic research with industry application to foster collaboration among the two. Ai4 attendees are welcome to attend this conference at no cost. See the agenda of all sessions in this summit on the "AAIRC Agenda" tab or by clicking here.If you are already registered for Ai4 and interested in attending, fill out this sign up form here. You will have to log in using the email you used to register in order to complete the form.

### 9:00 AM–6:00 PM · Registration Open
Registration · Venetian Expo Lobby
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDQwMDM5NA==

### 9:00 AM–4:00 PM · The AI House Presented by KPMG
Press Event · Bellini Ballroom 2104
Sponsors: KPMG
Page: https://ai4.com/sessions/the-ai-house-presented-by-kpmg/

Located on-site at the Venetian during Ai4, The AI House presented by KPMG includes a day of executive keynotes, panels, a networking lunch and an opportunity to connect with AI executives from around the world.Schedule:9am: Doors & networking with lite breakfast and coffee10am-4pm: Sessions12pm-1pm: Networking lunchSpace is limited, it is by invitation only. Apply to attend here.

### 1:00 PM–5:00 PM · AI Trainings, Powered by General Assembly [ADDITIONAL FEE REQUIRED]
Workshop · Workshop
Sponsors: General Assembly
Page: https://ai4.com/sessions/ai-trainings-powered-by-general-assembly-additional-fee-required/

We’ve partnered with General Assembly to offer a selection of pre-conference trainings as an add-on to your conference pass, for both technical and non-technical attendees.Learn more about these courses and register here for an additional fee of $395.The locations for each training can be found below:Technical Training: Venetian Ballroom E (Level 2)Business Training: Venetian Ballroom F (Level 2)Business Training: Venetian Ballroom H (Level 2)

### 1:00 PM–2:00 PM · Attribute It. Govern It. Monetize It. Experience it in Action. [RSVP REQUIRED]
Workshop · Workshop · Titian Ballroom 2306
Speakers: Dan Temkin (Kong Inc.)
Sponsors: Kong
Page: https://ai4.com/sessions/attribute-it-govern-it-monetize-it-experience-it-in-action-rsvp-required/

This event requires an RSVP; to attend, submit form hereEvery session this week will show you how to build and govern AI agents. This one shows you how to attribute spend and turn it into realized revenue.Eighty-one percent of enterprises believe they have AI visibility. Only 17% actually track what they spend against what they get back. And the companies that have figured out how to charge for AI? They demonstrate twice the cost discipline of those that haven't.Starting from a live AI and MCP deployment where token costs are accumulating, attribution is zero, and finance is asking questions nobody can answer, we build the full economic control plane on stage. We'll cover metering by utilization across sources, attribution back to the consumer, and entitlement enforcement before limits are breached. Plus connectivity optimizations like intelligent model routing that cut costs without sacrificing quality. The black-box provider bill becomes an itemized department-attributed ledger in real time.Then we pivot the same infrastructure outward. That internal metering layer becomes a tiered external AI product, with usage telemetry, real-time billing events, and flexible pricing strategies that drive consumer behavior.You leave with two things nobody else is handing out this week: an invoice-ready cost attribution model and a monetization blueprint your product team hasn't thought of yet. Part thought leadership, part live demo, part audience-driven choose-your-own-adventure. Come ready to participate.

### 1:00 PM–2:00 PM · Build a Customer Service AI Agent Live - Voice, Digital, and Governed [RSVP REQUIRED]
Workshop · Workshop · Titian Ballroom 2304
Speakers: Gary Fingerhut (Kore.ai)
Sponsors: Kore.ai
Page: https://ai4.com/sessions/build-a-customer-service-ai-agent-live-voice-digital-and-governed-rsvp-required/

This event requires an RSVP; to attend, submit form hereYou are responsible to provide an environment for your organization to build, deploy, measure, and monitor agentic agents.In this scenario - your contact center is bleeding costs. Agents are buried in repetitive calls, IVR trees frustrate customers, and every channel feels disconnected. You know AI can fix it, but what does "building an AI agent" actually look like?In this live build workshop, Kore.ai's Gary Fingerhut, EVP, and Alenis Fiallo, VP, Sales Engineering Operations will construct a fully governed Customer Service AI Agent, handling both voice and digital channels, from scratch, on stage, in 60 minutes. The audience plays the product team: you'll define the company, the top reasons customers call, the agent's persona, what it can resolve autonomously, when it escalates, and what guardrails it must respect.Using Kore.ai's Artemis platform and its AI builder Arch, Alenis will translate your inputs directly into a production-ready, compile-validated agent with natural language voice automation, omnichannel digital support, seamless live agent handoff with full context, and governance enforced outside the model.Real customers using this approach have achieved 40-67% containment rates, up to 40% reduction in operational costs, and 15-25% shorter handle times.No slides. No pre-built demo. Just an agent built live - by you.If your team builds agents, this session is for you.

### 1:00 PM–2:00 PM · Designing Memory Systems for AI Agents [RSVP REQUIRED]
Workshop · Workshop · Bellini Ballroom 2102
Speakers: Nina Lopatina (MongoDB)
Sponsors: MongoDB
Page: https://ai4.com/sessions/designing-memory-systems-for-ai-agents-rsvp-required/

This event requires an RSVP; to attend, submit form hereAs AI agents move beyond chat experiences into production systems, memory becomes essential for maintaining context, coordinating long-running workflows, and delivering reliable outcomes over time. The challenge is deciding what information to remember, where to store it, and what to retrieve at runtime. In this workshop, you'll learn a practical framework for architecting memory systems that actually work in production. We'll cover:Types of memory in agentic systemsStorage patterns: Where to persist memories and how to structure them for retrievalRetrieval strategies: Combining vector search with metadata, recency, and other signalsMemory lifecycle: When to create, update, or prune memories to keep your system performantYou'll apply this framework by building memory into an AI agent and seeing how different design choices impact behavior.You will be provided with all the resources required to successfully execute the hands-on portions of the workshop, including Jupyter Notebook templates with pseudocode. During the workshop, you will replace the pseudocode in the templates with your code.After the workshop, you will also be able to check your learning and earn a skill badge to share with your network!

### 1:00 PM–2:00 PM · Energy-Efficient, Annealing Quantum Computers for Machine Learning [RSVP REQUIRED]
Workshop · Workshop · Veronese Ballroom 2504
Speakers: Kevin Chern (D-Wave)
Sponsors: D-Wave Quantum
Page: https://ai4.com/sessions/energy-efficient-annealing-quantum-computers-for-machine-learning-rsvp-required/

This event requires an RSVP; to attend, submit form hereSignificant machine learning progress has been realized in the past decade---from performing simple classification tasks to the advent of large language models. The accelerated adoption of deep neural networks can be partly accredited to the computational efficiency and accessibility of graphical processing units (GPUs). This success has resulted in an increased demand for compute-resource alternatives to GPUs. With the maturation of energy-efficient annealing quantum computing, research is being realized to place annealing quantum processing units (QPUs) as viable technology for machine learning applications. In this workshop, I will introduce annealing quantum computers and its applications in optimization, generative modelling, and general machine learning computations.

### 1:00 PM–2:00 PM · From Idea to Production: Governing Agentic AI with Adaptive Orchestration [RSVP REQUIRED]
Workshop · Workshop · Venetian Ballroom G
Speakers: Ankur Trivedi (Digital.ai)
Sponsors: Digital.ai Software, Inc
Page: https://ai4.com/sessions/from-idea-to-production-governing-agentic-ai-with-adaptive-orchestration-rsvp-re/

This event requires an RSVP; to attend, submit form hereAI is changing software delivery, but in regulated enterprises the bigger question is not whether AI can help teams move faster - it is whether AI can help them move faster while staying in control as regulations, risk models, and governance expectations continue to evolve. In this hands-on workshop, we will show how a mobile banking feature moves from business idea to protected production using a connected Digital.ai toolchain across planning, adaptive release orchestration, deployment, mobile testing, application security, and audit evidence.The workshop will illustrate how agentic AI can summarize release readiness, identify blockers, explain failed controls, recommend next actions, generate go/no-go summaries, and produce audit-ready evidence while preserving human approval gates. As AI adoption continues to mature in regulated industries, attendees will see how adaptive orchestration provides the control layer and operational cushion needed to respond to changing regulatory dynamics without forcing teams to redesign their delivery process every time requirements shift.Attendees will learn how Release can act as the enterprise control plane for AI-assisted delivery by dynamically coordinating business intent, engineering execution, quality validation, security controls, deployment automation, compliance checks, and production governance. Attend this workshop to see how agentic AI and adaptive orchestration can make enterprise software delivery faster, clearer, and more intelligent - while preserving the controls that regulated production systems require.Key TakeawaysConnect business intent to software delivery execution.Understand how adaptive orchestration supports evolving regulatory and governance requirements.Use AI to understand release readiness, risk, and blockers.Combine deployment automation, mobile testing, application protection, compliance checks, and audit evidence into one governed flow.Preserve human-in-the-loop controls for production software delivery.

### 1:00 PM–2:00 PM · Why Most AI Agents Never Make It to Production (And What You're Doing Wrong) [RSVP REQUIRED]
Workshop · Workshop · Titian Ballroom 2302
Speakers: Ken Judy (Stride)
Sponsors: Stride
Page: https://ai4.com/sessions/why-most-ai-agents-never-make-it-to-production-and-what-you-re-doing-wrong-rsvp/

This event requires an RSVP; to attend, submit form hereEveryone's building AI agents, but most organizations are doing it entirely wrong. They are treating agents like advanced chatbots; building fragile toys instead of resilient business infrastructure. The gap between a flashy demo and a system that runs reliably, governs itself, and generates ROI is where enterprise AI initiatives die. In this session, Stride Partner Ken Judy tears down the flawed assumptions keeping your agents stuck in the lab. He shares the production-readiness framework Stride uses to construct the Agentic Enterprise and deploy autonomous systems in 90 days. You'll learn the five failure modes killing deployments before they ship, why "human-in-the-loop" is a core architectural mandate (not a checkbox), the harsh reality of production-grade governance, and how to build a bulletproof business case to escape pilot purgatory. For leaders who are done with demos and ready to ship.

### 2:00 PM–5:00 PM · Leadership Summit – Business Summit [RSVP REQUIRED]
Receptions Networking & Special Events · Business Summit · Marcello Ballroom 4403
Page: https://ai4.com/sessions/leadership-summit-business-summit-rsvp-required/

This event requires an RSVP; to attend, submit this form here.For those arriving early, join intimate, peer-to-peer discussion groups before Ai4 officially kicks off. These summits are designed to connect you with a small group of peers facing similar challenges and decisions.While the summits are open to all registered attendees, an RSVP is required and space is limited. There is no fixed capacity, so everyone who wants to participate will be able to do so, provided you RSVP before the deadline.

### 2:00 PM–5:00 PM · Leadership Summit – Technical Summit [RSVP REQUIRED]
Receptions Networking & Special Events · Technical Summit · Lando Ballroom 4203
Page: https://ai4.com/sessions/leadership-summit-technical-summit-rsvp-required/

This event requires an RSVP; to attend, submit this form here.For those arriving early, join intimate, peer-to-peer discussion groups before Ai4 officially kicks off. These summits are designed to connect you with a small group of peers facing similar challenges and decisions.While the summits are open to all registered attendees, RSVP is required and space is limited. There is no fixed capacity, so everyone who wants to participate will be able to do so, provided you RSVP before the deadline.

### 2:30 PM–3:30 PM · Agent Speedrun: Idea → Code → Deploy → Observe → Ship
Workshop · Workshop · Venetian Ballroom G
Speakers: Sandhya Subramani (Amazon Web Services)
Sponsors: Amazon Web Services (AWS)
Page: https://ai4.com/sessions/agent-speedrun-idea-code-deploy-observe-ship/

This event requires an RSVP; to attend, submit form hereOne agent. Fully deployed to production before the workshop ends. We'll take you from a blank file to a running production agent using Amazon Bedrock AgentCore and Strands Agents, covering the full lifecycle: ideation, coding the agent loop, deploying to serverless infrastructure, wiring up observability, breaking it intentionally, fixing it with tracing data, and shipping the final version. Bring your laptop and leave with a deployed agent.

### 2:30 PM–3:30 PM · Building Enterprise Agents That Don’t Go Rogue [RSVP REQUIRED]
Workshop · Workshop · Titian Ballroom 2306
Speakers: Rohit Nichani (Emergence AI)
Sponsors: Emergence
Page: https://ai4.com/sessions/building-enterprise-agents-that-don-t-go-rogue-rsvp-required/

This event requires an RSVP; to attend, submit form hereYour AI agent passed every test - but can you actually prove it won't cause harm the moment it hits production? Enterprises are racing to deploy autonomous agents, yet most are one ungoverned decision away from a compliance failure, a reputational hit, or millions in losses - and testing alone cannot protect you. In this session, Emergence will share findings from EmergenceWorld, a first-of-its-kind multi-agent simulation that revealed how even the most capable AI models spiral into catastrophic behavior without formal constraints. You'll leave with a practical methodology for applying neuro-formal verification to your own enterprise deployments, grounded in your domain and data, trading 'we think it's safe' for guarantees you can prove.If you are deploying agents in a high-stakes environment and need to move from pilot to production with confidence, this workshop is for you.

### 2:30 PM–3:30 PM · Building the AI Value Case: Securing Investment Beyond the Pilot [RSVP REQUIRED]
Workshop · Workshop · Bellini Ballroom 2102
Speakers: Robin Copland (Avanade); Spencer Hitchner (Avanade)
Sponsors: Avanade
Page: https://ai4.com/sessions/building-the-ai-value-case-securing-investment-beyond-the-pilot-rsvp-required/

This event requires an RSVP; to attend, submit form hereAI is easy to pilot. Harder to fund. Hardest to scale. Join a hands-on working session where you'll turn one of your AI ideas into a measurable, board-ready value case. In 60 minutes, walk out with a crisp Value Case Canvas you can use to secure real investment-not just interest.This session is designed for senior leaders and business unit heads who own AI investment decisions and have at least one initiative caught between a promising pilot and full production.

### 2:30 PM–3:30 PM · Deploy AI Agents in Secure Development Environments [RSVP REQUIRED]
Workshop · Workshop · Titian Ballroom 2304
Speakers: Dave Ahr (Coder Technologies)
Sponsors: Coder
Page: https://ai4.com/sessions/deploy-ai-agents-in-secure-development-environments-rsvp-required/

This event requires an RSVP; to attend, submit form hereJoin a hands-on workshop to explore how AI coding agents work inside secure, production-like development environments. No setup. No friction. Just real-world tasks, real code, and faster insight. Agentic AI is changing how software gets built, but too often, technical teams face friction long before they see real value. We're changing that.This workshop is designed to compress the time it takes to reach that "aha" moment. Whether you're exploring new workflows or evaluating tools for enterprise deployment, this session gives you a structured, realistic way to test what agentic AI can do using Coder's secure, self-hosted CDE.You'll walk away with a working prototype and a clearer sense of how to adopt AI on your terms, in environments you control.What You'll Do:* Discover what Coder is and how it provides secure, remote development environments for both human and agentic developers.* Understand how Coder Tasks can automate documentation, refactoring, issues and rewrites, and how agents can be monitored and secured using Coder's Agent Boundaries and AI Bridge.* Modify a brownfield application using both the Coder Tasks UI and API via Github Actions.* Verify the app changes in real time.* Verify the automated pull request and feature branch creation in Github.

### 2:30 PM–3:30 PM · Hands-On AI Security and Governance with Obot AI [RSVP REQUIRED]
Workshop · Workshop · Titian Ballroom 2302
Speakers: Craig Jellick (Obot AI)
Sponsors: Obot AI
Page: https://ai4.com/sessions/hands-on-ai-security-and-governance-with-obot-ai-rsvp-required/

This event requires an RSVP; to attend, submit form hereAs AI agents connect to more tools, APIs, and enterprise data, how do you keep those interactions secure, manageable, and visible? In this hands-on workshop, you will deploy Obot and work through the core steps involved in building an enterprise AI control plane. The workshop will cover managing and hosting MCP servers, discovering unmanaged AI clients and endpoints, applying identity-based access policies, and connecting users to approved tools. You will also see how to monitor and audit agent activity for security, troubleshooting, and compliance. Attend to leave with practical experience and a clearer path from AI experimentation to a controlled, production-ready environment.

### 3:00 PM–3:20 PM · Something From Nothing: The Hidden Origin of Every New Idea
Solo Talk · Secret Content · Venetian Ballroom D
Speakers: Dan Mackey (Vector Pulse)
Page: https://ai4.com/sessions/something-from-nothing-the-hidden-origin-of-every-new-idea/

Where do new ideas come from? And how can something new come from things that already exist? This talk explores conceptual blending, the hidden mental process of using already existing ideas to create something entirely new. I will explain how this drives creativity, why certain combinations lead to powerful breakthroughs, and what this means for the way generative AI produces new concepts. Attendees will leave with a clearer understanding of where new ideas come from and a practical framework for creating better ones on purpose. Come if you've ever wondered about the source of all inspiration and creativity.

### 3:30 PM–3:55 PM · The Replacement Trap: What Hollywood and Big Tech Learned About AI the Hard Way
Fireside Chat · Secret Content · Venetian Ballroom D
Speakers: Chris Morrow (Meta); Pouya Shahbazian (Staircase Studios AI)
Page: https://ai4.com/sessions/the-replacement-trap-what-hollywood-and-big-tech-learned-about-ai-the-hard-way/

Everyone is racing to replace creatives, replace workflows, replace entire products with AI. It doesn't work. We arrived at this conclusion from opposite sides — Pouya runs an AI-native film studio where AI makes every creative more productive, not expendable. Chris built GenAI products at Amazon and Meta where the wins came from adding convenience, not forcing adoption. In this fireside chat, we share what actually worked, what failed, and why the biggest mistake in AI right now is assuming the technology sells itself. If you are building AI products or leading teams through AI adoption, this conversation will change how you think about where AI actually wins.

### 4:00 PM–5:00 PM · Agent Development with LangChain and LangSmith - Workshop [RSVP REQUIRED]
Workshop · Workshop · Titian Ballroom 2306
Speakers: Rahul Verma (LangChain); Daniel Shea (LangChain)
Sponsors: LangChain
Page: https://ai4.com/sessions/agent-development-with-langchain-and-langsmith-workshop-rsvp-required/

This event requires an RSVP; to attend, submit form hereJoin Rahul Verma, Deployed Engineer @ LangChain, and Daniel Shea, Deployed Engineer @ LangChain for an interactive hands-on workshop on AI agent development. In this interactive hands-on workshop, engineers from LangChain walk you through building an agent leveraging our open source ecosystem's most powerful features before showing you how to use the LangSmith agent engineering platform to take it to production.

### 4:00 PM–5:30 PM · Agentic AI: Build a Customer Service Agent with NVIDIA Computing and HPE Private Cloud AI [RSVP REQUIRED]
Workshop · Workshop · Bellini Ballroom 2102
Speakers: Akhila Aiyer (Hewlett Packard Enterprise); Mark Seither (HPE)
Sponsors: HPE & NVIDIA
Page: https://ai4.com/sessions/agentic-ai-build-a-customer-service-agent-with-nvidia-computing-and-hpe-private/

This event requires an RSVP; to attend, submit form hereWhether you're a researcher, an engineer, or a site decision-maker, Understanding AI best practices-and the technology to facilitate them-are critical. Learn how proven HPE solutions, and the HPE and NVIDIA partnership can accelerate your organization's AI initiatives and prepare you for the next frontier of agentic and physical AI.

### 4:00 PM–5:00 PM · Build Agents Your Security Team Will Approve: Skills, Loop Engineering, & Governance with Arcade.dev [RSVP REQ'D]
Workshop · Workshop · Venetian Ballroom G
Speakers: Thierry Damiba (Arcade.dev)
Sponsors: Arcade
Page: https://ai4.com/sessions/build-agents-your-security-team-will-approve-skills-loop-engineering-and-governa/

This event requires an RSVP; to attend, submit form hereCoding agents are confined to the terminal because they lack authenticated access to real systems. This workshop demonstrates how to bridge that gap using Arcade.dev. We start with an isolated agent, then introduce the Arcade MCP gateway to provide tools with live per-user OAuth, transforming workflows into reusable Agent Skills. We then explore loop engineering: removing the human while maintaining control. We showcase how an email can trigger an unattended agent that reproduces bugs and ships fixes with human-in-the-loop checkpoints enforced at the infrastructure layer. By vaulting and scoping credentials per user, background agents move beyond demos into production-ready reasoning and action layers, providing the audit trails enterprise security teams require.

### 4:00 PM–5:00 PM · Every Agent is Rogue by Default [RSVP REQUIRED]
Workshop · Workshop · Titian Ballroom 2302
Speakers: Mallory Sword Glenn (Okta)
Sponsors: Okta
Page: https://ai4.com/sessions/every-agent-is-rogue-by-default-rsvp-required/

This event requires an RSVP; to attend, submit form hereAn agent that reads production secrets it was never scoped to touch. Another that runs overnight and bills $800 in API calls. These aren't hypothetical breach scenarios. They're the natural consequence of deploying AI without an identity layer. This session breaks down how identity becomes the control plane for AI agents: token vaulting, fine-grained authorization, human-in-the-loop approval, and real-time threat detection. We'll walk through a production sales agent end-to-end so you leave with a concrete picture of what "secured by design" actually looks like.

### 4:00 PM–4:25 PM · The Architecture of Motion in Motion: How to Harness Physical AI for Next-Era Human-Aware Bio-Robotics
Solo Talk · Secret Content · Venetian Ballroom D
Speakers: Yishay Falick (Bility)
Page: https://ai4.com/sessions/the-architecture-of-motion-in-motion-how-to-harness-physical-ai-for-next-era-hum/

The Architecture of Motion:Imagine a world where an artificial limb doesn't just replace a part, but restores human dignity, fluid intention, and athletic grace. This is the frontier of physical AI, bridging advance Bio-Robotics with human biology to solve a massive global mobility crisis for veterans and diabetic amputees alike. Attendees will discover how a data-driven locomotion operating system and simulator translates complex intent into real-time adaptive motion. Join us to see how we are backing the next Era of physical convergence and how you can join this motion revolution.

### 4:30 PM–4:55 PM · Unleashing Canine Superpowers - Cancer Screening That Doesn't Feel Like a Chore
Solo Talk · Secret Content · Venetian Ballroom D
Speakers: Amir Alpert (Dognosis)
Page: https://ai4.com/sessions/unleashing-canine-superpowers-cancer-screening-that-doesn-t-feel-like-a-chore/

What if the most sensitive Stage I cancer test on Earth isn't a lab assay — it's a dog's brain, decoded by AI? Dogs have been smelling cancer for decades; we taught AI to read what they smell. At Dognosis, we've built a clinically validated cancer screen by combining trained detection dogs, brain-computer interfaces, and a neural network that translates canine olfaction into digital diagnoses - 90.6% Stage I sensitivity, 91.3% specificity, peer-reviewed across 3,000 patient samples and roughly 5x more sensitive than liquid biopsy. The talk will walk through the technical stack (BCI hardware → EEG signal → neuroAI translation), the clinical pathway from canine signal to confirmed diagnosis, and the business model for at-home cancer screening at a price point that doesn't bankrupt patients. If you build AI for healthcare, work on multi-modal sensing, or want to see neuroAI deployed in the real world, this is the session.

### 5:00 PM–6:00 PM · Industry Meetups [RSVP Required]
Meetups & Receptions · Hall D
Page: https://ai4.com/sessions/industry-meetups-rsvp-required/

All registered attendees of Ai4 2026 are invited to attend several industry and job function meetups happening on Monday, August 3rd from 5:00-6:00pm. Please note that some meetups are RSVP-only. See the meetup schedule and RSVP links for those that require one below.Industry Meetups:AEC - Exhibit Hall DAerospace & Defense - Exhibit Hall DAutomotive - Exhibit Hall DEducation & Academia - Exhibit Hall DEnergy - Exhibit Hall DFinancial Services - Exhibit Hall DFood & Agriculture - Exhibit Hall DGovernment - Exhibit Hall DHealth & Life Sciences - Exhibit Hall DInsurance - Exhibit Hall DLegal - Exhibit Hall DMarketing & Growth - Exhibit Hall DRetail - Room 305 - RSVP hereSoftware - Exhibit Hall DTelecom & Connectivity - Exhibit Hall DTransportation & Logistics - Exhibit Hall DJob Function Meetups:CAIO, CIO, & IT - Room 303/304 - RSVP hereCFO & Finance - Exhibit Hall DCX/Customer Service - Exhibit Hall DCybersecurity - Exhibit Hall DData & Analytics - Room 301/302 - RSVP hereEnterprise Architecture - Exhibit Hall DFounders & CEOs - Exhibit Hall DHR & Recruiting - Exhibit Hall DManufacturing & Supply Chain - Exhibit Hall DProduct Managers - Room 401/402 - RSVP hereRisk & Compliance - Room 103 - RSVP hereSales & Revenue Operations - Exhibit Hall DSoftware Engineering: Applications - Room 202/203 - RSVP hereSoftware Engineering: Infrastructure & DevOps - Room 101/102 - RSVP here

### 5:00 PM–6:30 PM · Kickoff Reception
Receptions Networking & Special Events · Meetups & Receptions · Hall D
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDQwMDM3OQ==

## Tuesday, August 4, 2026

### 6:00 AM–7:00 AM · Morning Run Club [SESSION FULL]
Meetups & Receptions · Meet at waterfall near escalators in the Venetian
Page: https://ai4.com/sessions/morning-run-club-session-full/

Find your stride with fellow attendees and join the Morning Running Club to hit the ground running before content begins. This event requires an RSVP; to attend, submit form here.

### 6:30 AM–7:30 AM · Morning Yoga [SESSION FULL]
Meetups & Receptions · 202-203
Page: https://ai4.com/sessions/morning-yoga-session-full/

Start your day with focus and flow. Join us for Morning Yoga to clear your mind before the keynotes begin. This event requires an RSVP; to attend, submit form here.

### 7:00 AM–8:30 AM · Breakfast Available
Breaks & Meals · Hall D
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDQwMDQwNA==

### 7:00 AM–6:00 PM · Registration Open
Registration · Venetian Expo Lobby
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDQwMDM5NQ==

### 8:20 AM–9:55 AM · Opening Keynote Sessions
Keynote · Keynote · Hall A - Keynotes
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDQwMDQxMA==

### 8:30 AM–8:59 AM · AI’s Race to Reinvent Medicine
Keynote · Keynote · Hall A - Keynotes
Speakers: Gevorg Grigoryan (Generate Biomedicines); Alice Park (TIME); Alex Zhavoronkov (Insilico Medicine); Eric Nguyen (Radical Numerics)
Page: https://ai4.com/sessions/ai-s-race-to-reinvent-medicine/

AI is beginning to transform how new medicines are discovered, designed, and validated, from biological modeling and molecule design to autonomous experimentation and clinical development. This opening keynote brings together leaders from the companies defining the next era of life sciences R&D to discuss what is real today, what remains hype, and how AI could accelerate the path from scientific insight to patient impact.

### 8:59 AM–9:17 AM · Stop Governing Your AI. Start Hiring It.
Keynote · Keynote · Hall A - Keynotes
Speakers: Mark Abramowitz (Dataiku); Jed Dougherty (Dataiku)
Page: https://ai4.com/sessions/stop-governing-your-ai-start-hiring-it/

Every session here tells you how to govern your AI better. This one tells you to stop. Everyone says agents are a digital workforce. Almost nobody follows that logic to its conclusion: if agents are labor, the business hires them, pays for them, and fires the ones that underperform. The best AI governance tool ever invented is a budget line with someone's name on it. Half your company is already building AI you never approved. Dataiku CMO Mark Abramowitz and Head of AI Platform Jed Dougherty bring data from 900 CEOs, a live demo, and the one decision that separates AI winners from casualties.

### 9:18 AM–9:36 AM · The AI Reckoning: Chips, Constraints and the Next Generation of Compute
Keynote · Keynote · Hall A - Keynotes
Speakers: Pat Gelsinger (Playground Global); Sachin Katti (OpenAI); Gideon Lewis-Kraus (The New Yorker)
Page: https://ai4.com/sessions/the-ai-reckoning-chips-constraints-and-the-next-generation-of-compute/

AI’s ambitions have never been bigger, and neither have the demands on the infrastructure beneath it. As organizations race to deploy AI at scale, a critical question is being overlooked: is the compute foundation of the AI economy capable of delivering on what the field now promises?In this candid fireside conversation, semiconductor veteran and former Intel CEO Pat Gelsinger joins Sachin Katti, Head of Compute at OpenAI, to examine the defining constraints of the AI age from both sides of the equation: the evolution of chips and systems, and the real-world compute demands of frontier AI. Together, they will explore what is truly limiting AI’s next phase, how the next generation of computing infrastructure may unlock capabilities today’s systems cannot support, and what business and technology leaders should understand now as compute becomes one of the central strategic bottlenecks of the AI era.

### 9:37 AM–9:55 AM · Mistral: Pioneering Transparent and Transformative Frontier AI
Keynote · Keynote · Hall A - Keynotes
Speakers: Pavan Kumar Reddy (Mistral); Howard Cohen (Mistral)
Page: https://ai4.com/sessions/mistral-pioneering-transparent-and-transformative-frontier-ai/

Mistral builds compact, high-performance models and openly releases much of its work to advance the industry.Join Pavan Kumar Reddy, one of our first US-based AI scientists, as he discusses our breadth of research and innovation in audio processing, OCR, robotics navigation and reasoning models which is helping power physical autonomy and sophisticated machine intelligence across diverse environments.Find out more about how our lab is making frontier AI more transparent, transformative, and powerful for the global community.

### 10:15 AM–10:35 AM · Agentic Model Risk Management: Industrializing Risk Ranking, Validation, and Monitoring
Solo Talk · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Freddy Lecue (Wells Fargo)
Page: https://ai4.com/sessions/agentic-model-risk-management-industrializing-risk-ranking-validation-and-monito/

Model risk management today remains highly manual, sequential, and fragmented across development, validation, and monitoring, leading to slow cycle times, inconsistent outputs, and scaling bottlenecks. We are building and operationalizing a suite of AI agents that execute end to end model risk workflows - including risk ranking, documentation generation, validation, and continuous monitoring - while keeping humans firmly in control. These agents codify domain expertise into reusable capabilities, standardize validation practices, and enable scalable, audit ready outputs across the model lifecycle. Early results show significant acceleration in validation timelines (e.g., multi week processes reduced to days or weeks), alongside meaningful efficiency gains across model risk teams.

### 10:15 AM–11:00 AM · AI as Your Pair Programmer: How Developers Are Collaborating with Code Models
Panel Session · Software Engineering · Lando Ballroom 4204
Speakers: Nick Patterson (Moderne); Justin Johnson (Renaissance Benefits); Ron Schmelzer (Forbes / Scalebrate); Byron Ellis (LinkedIn Corporation); Ankit Goyal (LinkedIn)
Page: https://ai4.com/sessions/ai-as-your-pair-programmer-how-developers-are-collaborating-with-code-models/

The way we write software is changing—fast. This panel brings together engineers and AI experts who understand AI powered coding to discuss how they are using AI daily to boost productivity, reduce bugs, and streamline release cycles. We’ll look at how teams are leveraging tools and code agents to shift from manual development to AI-assisted workflows. Expect honest discussion about what works, what doesn’t, and what the future of software development looks like when the machine writes with you.

### 10:15 AM–11:00 AM · AI for Beginners: 0-1
Panel Session · Beginner Start Here · Palazzo Ballroom L
Speakers: Emily Acosta Lewis (Sonoma State University); Paul Farnsworth (Dice); Allison Murphy (Axios); Andy Dingler (Daimler Truck North America)
Page: https://ai4.com/sessions/ai-for-beginners-0-1/

This panel is designed to provide newcomers to AI with a comprehensive playbook for getting started on their AI journey. Panelists will break down the foundational concepts of AI, explain common use cases, and offer practical advice on how to navigate the rapidly evolving AI landscape. Learn how to identify the right opportunities to integrate AI into your business, understand the challenges and risks, and discover the critical steps needed to derive value from AI. Whether you’re an executive, entrepreneur, or professional, this discussion will equip you with the essential knowledge and confidence to begin your AI journey.

### 10:15 AM–11:00 AM · AI vs AI: Cybersecurity in the Age of Generative Threats
Panel Session · Cybersecurity · Marcello Ballroom 4404
Speakers: Krista Arndt (St. Luke's University Health Network); Parthasarathi Chakraborty (Broadridge Financials); Torrell Funderburk (Overspace); Stephen Franklin (NetWatch.AI); Alaa Abdulridha (SerpApi, LLC)
Page: https://ai4.com/sessions/ai-vs-ai-cybersecurity-in-the-age-of-generative-threats/

As defenders adopt AI to detect and respond to threats faster than ever, attackers are using the same tools to launch increasingly complex, automated, and adaptive attacks. This panel explores the arms race between AI-driven defense and AI-powered offense. Cybersecurity leaders will share how they’re integrating AI into detection and response workflows, what emerging threats they’re tracking, and how they’re preparing their teams to deal with adversarial LLMs, deepfakes, and AI-generated phishing. Learn how to defend your organization when the enemy is just as smart.

### 10:15 AM–11:00 AM · Building the Enterprise AI Stack: Strategies for Tools, Platforms, and ROI
Panel Session · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Ali Abedini (Metropolitan Commercial Bank); Oscar Anaya (Lucien); Ilyse Liffreing (The Trade Desk); Drew Schlussel (Wasabi Technologies); Rahul Rajendra Prasad (Citizens Bank)
Page: https://ai4.com/sessions/building-the-enterprise-ai-stack-strategies-for-tools-platforms-and-roi/

As organizations accelerate their AI adoption, building the right software stack becomes a critical enabler of speed, control, and business value. This holistic panel brings together technology and platform leaders to explore how they’re architecting flexible, scalable AI environments using best-in-class platforms, tools, and orchestration layers. Panelists will discuss how they evaluate AI solutions, manage cloud-native services, integrate AI tools into preexisting workflows, and balance innovation with enterprise goals. Whether you’re selecting vendors, stitching together custom workflows, or scaling existing systems, this session will help you build a modern AI stack that fits your strategy.

### 10:15 AM–11:00 AM · Command, Control & Compute: AI at the Defense Frontier
Panel Session · Aerospace & Defense · Palazzo Ballroom B
Speakers: Chris Hume (Legion Intelligence); Eytan Eshel (Israel Aerospace Industries (IAI)); Paul Lasserre (Loft Orbital); Christine Keung (J2 Ventures)
Page: https://ai4.com/sessions/command-control-and-compute-ai-at-the-defense-frontier/

National defense and aerospace leaders are harnessing AI to rethink how missions are planned, executed, and supported. This panel explores real deployments, from edge intelligence in combat zones to predictive maintenance in aircraft, and how the defense sector is navigating the intersection of innovation and oversight. Attendees will gain insights on how AI improves speed, precision, and survivability, while aligning with complex security and compliance mandates.

### 10:15 AM–11:00 AM · Deriving Real ROI from AI: How to Pick the Right Use Cases and Win
Panel Session · Oversight: AI ROI · Palazzo Ballroom D
Speakers: Bill Dwoinen (Mural); Jim Jacob (Cummins Inc); Momei Qu (PSP Growth); Preeti Vaidya (Morgan Health, JPMC)
Page: https://ai4.com/sessions/deriving-real-roi-from-ai-how-to-pick-the-right-use-cases-and-win/

Too many AI initiatives deliver buzz but not business results. This panel brings together executives and practitioners who have cracked the code on achieving real ROI with AI. Panelists will explore how to identify financially sound use cases, build business cases, measure success rigorously, and iterate effectively. Expect actionable strategies for aligning technical possibilities with financial imperatives and unlocking value that actually moves the needle. Leave with a clear idea of how to pick the right use case for your business!

### 10:15 AM–6:00 PM · Exhibit Hall Open
Exhibit Hall · Halls B&C
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDQwMDM5OA==

### 10:15 AM–6:00 PM · Experience Tesla at Ai4 2026
Exhibit Hall · Halls B&C
Page: https://ai4.com/sessions/experience-tesla-at-ai4-2026-mdywoa/

Meet the latest Tesla vehicle lineup and experience Full Self-Driving (Supervised) for yourself. Tesla Advisors will be available to answer any questions you have about our latest innovations and the Tesla ownership journey.Reserve you demo drive slot here or visit the Tesla booth to learn more.

### 10:15 AM–11:00 AM · From Molecule to Market: How AI Is Reshaping Drug Discovery
Panel Session · Healthcare: Life Sciences & Biotech · Titian Ballroom 2304
Speakers: Patrick Loerch (Gilead Sciences); Aman Thukral (AbbVie); Tala Fakhouri (Parexel); Bryson Tombridge (Tono Health); Laura Boykin Okalebo (Nebius)
Page: https://ai4.com/sessions/from-molecule-to-market-how-ai-is-reshaping-drug-discovery/

This panel brings together pharma leaders and AI scientists to discuss the evolving drug discovery pipeline. Learn how machine learning is being used to identify new targets, design molecules, and simulate trials—all in less time and at lower cost. Panelists will share what’s working now and what hurdles still exist in AI-driven innovation.

### 10:15 AM–11:00 AM · Governing the Autonomous: Risk Management for Agentic AI
Panel Session · Oversight: AI Explainability Governance & Model Risk · Lando Ballroom 4203
Speakers: Nereida Parks (Olympus Corporation); Navrina Singh (Credo AI); Harry McCracken (Fast Company); Gabriel Tinoco (Openlayer); Darren Cambridge (University of Maryland)
Page: https://ai4.com/sessions/governing-the-autonomous-risk-management-for-agentic-ai/

As artificial intelligence evolves from providing recommendations to taking autonomous actions, the enterprise governance paradigm must fundamentally shift. This panel explores how organizations can build robust oversight programs specifically designed for agentic AI. Panelists will discuss the unique challenges of managing model risk when systems operate independently, focusing on how to maintain explainability and interpretability in dynamic decision cycles. The conversation will highlight non-technical strategies for cross-functional governance, agent red teaming, and implementing behavioral guardrails. Attendees will walk away with an actionable playbook for auditing autonomous systems, meeting global compliance standards, and ensuring that agentic AI acts responsibly and ethically within complex business environments.

### 10:15 AM–11:00 AM · How Generative Models Are Built and Deployed
Panel Session · Generative AI (technical) · Veronese Ballroom 2504
Speakers: William Tran (Meta); Johannes Plambeck (Pfizer Inc.); Shane Snider (DCK); Philip Kiely (Baseten)
Page: https://ai4.com/sessions/how-generative-models-are-built-and-deployed/

Hear from builders and users some of the most powerful generative systems in use today. Panelists will explore the engineering choices behind LLMs, diffusion models, and hybrid architectures, along with lessons from scaling and deploying these models safely. Topics include controlling generation, reducing hallucinations, and choosing between open-source vs proprietary stacks.This panel will gather technical experts working to build and deploy generative AI systems to help you understand the cutting edge.

### 10:15 AM–11:00 AM · Leading the AI Transformation
Panel Session · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Alan Hester (Nividous); Tim Martin (Audible); Amy Ritualo (U.S. Department of State); Grace DeGraaf (Harvard Business School); Josh Noble (Tray.ai)
Page: https://ai4.com/sessions/leading-the-ai-transformation/

How are today’s CIOs and CAIOs driving real AI value? In this executive panel, top enterprise tech leaders will share practical strategies for AI implementation—from aligning with business goals to managing cross-functional teams and vendors. We’ll explore how companies are governing AI use, tracking ROI, and overcoming cultural resistance. Hear firsthand how leaders are adapting their organizations for an AI-powered future, and leave with insights to better navigate infrastructure choices, compliance pressures, and strategic planning.

### 10:15 AM–11:00 AM · Leveraging AI Agents to Drive Value: Success Stories from Leading Organizations
Panel Session · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Kevin Lee (NiCE); Michelle Hawley (VKTR); Nitesh Soni (Sanofi); Anuj Maheshwari (CVS Health); Chris Han (ThinkingAI)
Page: https://ai4.com/sessions/leveraging-ai-agents-to-drive-value-success-stories-from-leading-organizations/

Explore how pioneering organizations across sectors such as finance, healthcare, retail, and manufacturing are achieving significant business outcomes with advanced AI agents. Industry executives and technology experts will share detailed accounts of their experiences, highlighting measurable benefits like increased revenue, enhanced operational efficiency, customer loyalty, and reduced costs. Gain actionable insights from their journeys, learn about emerging best practices, and understand how to navigate implementation challenges effectively.

### 10:15 AM–10:55 AM · Recommendation Systems: A Practical Framework for Building at Scale
Solo Talk · Recommendation & Ranking Systems (technical) · Bellini Ballroom 2102
Speakers: Prashanth Vinod (JPMorgan Chase & Co)
Page: https://ai4.com/sessions/recommendation-systems-a-practical-framework-for-building-at-scale/

Ever wondered how Netflix knows what you'll watch next, or how YouTube always seems to know your taste before you do?Recommendation systems now sit at the heart of how users discover content, products, and decisions across nearly every major platform — making them one of the highest-leverage areas for product and engineering teams to get right. This talk breaks down the full architecture of a scalable recommendation system: from data pipelines and modeling approaches (collaborative filtering, content-based filtering, neural networks) to business constraints, latency, feedback loops, and monitoring. Attendees will walk away with a practical framework for evaluating tradeoffs at every stage of building or scaling a recommender. If you're a PM, engineer, or technical lead working on personalization, ranking, or discovery, this session will give you a concrete checklist to bring back to your own systems.

### 10:15 AM–11:00 AM · Redesigning the Classroom: What AI Means for Learning
Panel Session · Education · Palazzo Ballroom E
Speakers: Anjelina Belakovskaia (Arizona State University, Thunderbird School of Global Management); Lin Zhou (Texas Tech University); Jason Baker (Regent University); Gregory Triplett, Jr. (Saint Louis University)
Page: https://ai4.com/sessions/redesigning-the-classroom-what-ai-means-for-learning/

From chatbots that coach students to AI that adapts in real-time to learning styles, education is being reinvented. In this panel, educators and edtech leaders explore how AI is improving learning outcomes while also raising critical questions. What does effective, ethical implementation look like? Can AI address equity gaps, or will it reinforce them? Learn what’s working today and how leaders are preparing for tomorrow’s AI-driven classroom.

### 10:15 AM–11:00 AM · Retrieval-Augmented Generation (RAG) Use Cases: Unlocking Business Value with Smarter AI
Panel Session · Enterprise Unlocks: RAG & Proprietary Data · Titian Ballroom 2306
Speakers: Richa Singh (Lexington Partners); Ameen Kazerouni (Purpose Brands); Chirag Shah (University of Washington); Nicholas Ginsberg (Morgan Stanley); Joe Gaska (GRAX)
Page: https://ai4.com/sessions/retrieval-augmented-generation-rag-use-cases-unlocking-business-value-with-smart/

Retrieval-Augmented Generation (RAG) is emerging as a key enabler of enterprise-grade generative AI, bridging the gap between static models and dynamic, real-time data. This use- case oriented panel will explore how organizations are using RAG to enhance accuracy, improve trust, and deliver meaningful business outcomes. From customer support and internal knowledge access to legal, finance, and operations, hear how leading enterprises are implementing RAG architectures to supercharge their generative AI applications. Learn about best practices, tooling options, and performance measurement frameworks to turn your unstructured data into strategic advantage.

### 10:15 AM–10:35 AM · Scalable Agent Alignment with GRPO: Methods, Reward Design and Training Dynamics
Solo Talk · AI Agents (technical) · Venetian Ballroom E
Speakers: Ashish Bansal (The Vanguard Group)
Page: https://ai4.com/sessions/scalable-agent-alignment-with-grpo-methods-reward-design-and-training-dynamics/

Scalable Agent Alignment with GRPO: Methods, Reward Design, and Training Dynamics presents a practical framework for fine-tuning agents with Group Relative Policy Optimization (GRPO) to reliably match domain-specific human preferences at production scale. The summary covers three pillars: (1) methods for converting expert feedback into structured, judgeable quality criteria, (2) reward design that blends rubric-level objectives with targeted penalties for critical failures such as hallucination, misattribution, and compliance leakage, and (3) training dynamics that keep optimization stable through KL control, clipping behavior, and reward-variance monitoring. It highlights how GRPO’s group-based relative advantages improve learning efficiency without a heavyweight critic, enabling scalable alignment across large datasets and diverse tasks. The key takeaway is that high-quality agent behavior emerges not from a single reward metric, but from a calibrated reward system plus disciplined training diagnostics that preserve both capability and safety.

### 10:15 AM–11:00 AM · Scaling AI Systems with Modern AIOps Platforms
Panel Session · Agentic Ops & Platforms (technical) · Bellini Ballroom 2104
Speakers: Keyao An (OpenAI); Ronak Nathani (LinkedIn); Nicolas Bievre (Meta); Ankita Chaudhari (Bloomberg)
Page: https://ai4.com/sessions/scaling-ai-systems-with-modern-aiops-platforms/

Join platform engineers, AIOps leaders, and cutting edge technologists as they share what it takes to scale ML in production. Panelists will discuss real-world stacks, vendor integrations, and the tooling behind reproducible workflows. Leaders will discuss what a cutting edge AIOps platform looks like at enterprise scale, and how to realize tangible results. Walk away with a clear view of how to structure your AI lifecycle—experiment, deploy, monitor, and iterate with confidence.

### 10:15 AM–11:00 AM · Scaling Smart: How AI Is Driving Marketing Efficiency and Precision
Panel Session · Marketing & Growth · Marcello Ballroom 4403
Speakers: Marjorie McCarthy (ISS North America); Onney Crawley (Goodwill Industries International); Kathleen Booth (Sequel.io); Christy Borrowman (Colgate-Palmolive); Monica Ho (SOCi)
Page: https://ai4.com/sessions/scaling-smart-how-ai-is-driving-marketing-efficiency-and-precision/

AI is enabling marketing teams to do more with less—faster. This panel features leaders who are using AI to automate creative generation, tailor campaigns, and boost conversion rates with data-driven precision. We’ll explore how AI is changing the economics of customer acquisition and reshaping go-to-market strategies. You’ll also hear insights on managing data privacy, attribution challenges, and brand authenticity in a world of synthetic content.

### 10:15 AM–11:00 AM · Scaling Strategies: From Initial Pilots to Enterprise-Wide Adoption
Panel Session · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Raghu Vatte (AISquared); Reena Solomon (Airbus); Seth Siegler (eXp Realty); Alina Rivilis (Fairstone Bank of Canada); Tracy St.Dic (Zapier)
Page: https://ai4.com/sessions/scaling-strategies-from-initial-pilots-to-enterprise-wide-adoption/

Scaling AI agents from initial pilots to full enterprise adoption requires deliberate strategy and careful execution. This panel will highlight successful approaches organizations have taken to expand AI agent deployments effectively. Topics will include identifying scalable use cases, managing resources and infrastructure, addressing cultural and operational resistance, and tracking progress with meaningful KPIs. Attendees will gain insights into replicable strategies and common pitfalls to avoid in scaling AI solutions.

### 10:15 AM–11:00 AM · Strategic Foundations: Aligning AI Agents with Enterprise Goals
Panel Session · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Rob DiNuzzo (Nimble); Tarun Sood (American Century Investments); Amit Patel (Plug and Play Ventures); Mark Bloom (Gallagher); Geetesh Iyer (WisdomAI)
Page: https://ai4.com/sessions/strategic-foundations-aligning-ai-agents-with-enterprise-goals/

In order to reach the end goal of deploying AI agents at scale, organizations must first align clear business objectives with technological capabilities. This cross-industry panel dives into the structural and strategic foundations necessary to ensure autonomous systems push the enterprise forward. Learn how forward-thinking leaders are selecting use cases, navigating change management, redefining human workflows, and establishing key performance indicators for agentic operations. Panelists will discuss strategies for securing executive buy-in and building a resilient organizational culture ready for an AI-augmented workforce. Walk away with tactical insights on integrating AI agents seamlessly into your long-term corporate strategy.

### 10:15 AM–11:05 AM · The AI Education-Industry Pact: Ethics, Impact & What's Next [RSVP REQUIRED]
Roundtable · Roundtable · Room 305
Speakers: Miguel Kanto (University of Arizona Global Campus); Karen Ivy (University of Arizona Global Campus); Tahereh Daneshi (University of Arizona Global Campus); Michael Hayden (University of Arizona Global Campus); Pete Limon (University of Arizona Global Campus); Carl Marquez (University of Arizona Global Campus)
Page: https://ai4.com/sessions/the-ai-education-industry-pact-ethics-impact-and-what-s-next-rsvp-required/

This event requires an RSVP; to attend, submit form hereWhat happens when education and industry stop chasing AI trends and start shaping AI's future-together?The next wave of AI adoption is transforming education and industry, creating both opportunity and urgency. Universities are innovating with AI-integrated curricula, industry challenge projects, and research breakthroughs- yet workforce readiness and ethical AI adoption remain top concerns.This interactive roundtable brings together university leaders, curriculum designers, faculty innovators, workforce strategists, and industry executives to:� Showcase higher education accomplishments in AI integration, research, and student skill development.� Explore best practices for ethical AI adoption, including bias mitigation, data privacy, and equitable student access.� Identify future workforce competencies required by 2028 and beyond, aligning academic programs with industry talent needs.� Co-create an "AI Education-Industry Pact" - a set of principles, partnership models, and action steps to guide future collaboration.Participants will engage in live discussions, share real-world case studies, and leave with a blueprint for action that bridges the gap between innovation, ethics, and employability.

### 10:15 AM–11:00 AM · The AI-Enabled Lawyer: From Research to Risk Management
Panel Session · Legal · Delfino Ballroom 4103
Speakers: John Buyers (CMS LLP); Blake Rooney (Wells Fargo); Eric Tan (Goodwin); Hamid Kohan (Practice AI); Emily Drazan Chapman (DragonGC)
Page: https://ai4.com/sessions/the-ai-enabled-lawyer-from-research-to-risk-management/

This panel features in-house counsel,law firm leaders, and AI leaders using AI to reduce time spent on low-value work and increase precision in high-stakes matters. Attend this panel to understand how the cutting edge of AI powered legal work will shape the legal industry moving forward. Topics include contract review automation, AI-driven litigation analytics, and new ethical concerns around confidentiality and malpractice in AI-assisted lawyering.

### 10:15 AM–11:00 AM · The State of AI Research — Breakthroughs, Gaps, and the Road Ahead
Panel Session · AI Research Summit (technical) · Venetian Ballroom A
Speakers: Jason Hiner (The Deep View); Alan Brown (Boeing Research and Technology); Michael Caiola (Credence); James OKane (Arcova); Pedro Alves (Thoth AI); Ravi Ummadisetti (Toyota North America)
Page: https://ai4.com/sessions/the-state-of-ai-research-breakthroughs-gaps-and-the-road-ahead/

AI research is moving at unprecedented speed, with advances in large language models, multimodal systems, world models, and agent architectures reshaping what’s possible. Yet key challenges remain unsolved: reasoning reliability, robustness under distributional shift, interpretability, and efficiency at scale. This panel convenes leading AI research heads from industry and academia to reflect on the current state of the field, the breakthroughs that are shaping near-term industry adoption, and the fundamental questions that remain open. Panelists will discuss how cutting-edge research is guiding enterprise applications, where academia and industry must collaborate more deeply, and what innovations might define the next wave—from scalable alignment methods to architectures beyond transformers. Attendees will gain an insider’s perspective on how today’s research frontiers are steering the future of AI in both science and industry.

### 10:15 AM–11:00 AM · The Talent Blueprint: Architecting the Future Workforce
Panel Session · Workforce Upskilling For The AI Era · Titian Ballroom 2302
Speakers: Aisha Lawrey (Johns Hopkins University, Whiting School of Engineering); Kristin Stoller (Fortune); Kathleen Walch (Project Management Institute); Paul LaForge (Western Governors University); Lilian Ajayi Ore (Columbia University)
Page: https://ai4.com/sessions/the-talent-blueprint-architecting-the-future-workforce/

Building an AI-powered company requires more than just buying software; it requires a complete rethink of how talent is deployed. This panel features HR visionaries and operational leaders discussing the "top-down" approach to upskilling. Learn how global organizations are redesigning job descriptions, navigating the transition of traditional roles, and deciding which tasks remain uniquely human. Discover how to turn workforce readiness into a competitive moat and why your "human strategy" is now your most important AI strategy.

### 10:15 AM–11:00 AM · Where AI Is Headed
Panel Session · AI Startups & VCs · Venetian Ballroom G
Speakers: Ashlyn Lackey (Prudential); Elizabeth Stockton (Overlap Holdings); Lior Mallul (Battery Ventures); Ray Wu (Alumni Ventures); Claire Xie (Women in AI)
Page: https://ai4.com/sessions/where-ai-is-headed/

As capital floods into AI, venture capitalists are placing high-stakes bets on the future of intelligence—backing not just models, but infrastructure, vertical applications, agent frameworks, and entirely new paradigms of human-computer interaction. In this candid panel, leading VCs share where they see opportunity, what signals they look for in an AI startup, and how they're thinking about defensibility in a world dominated by a few foundational players. You'll hear perspectives on timing, technical moats, the role of open source, and the likely shape of long-term winners. Whether you’re a founder, operator, or enterprise buyer, this session offers a rare look into how top investors are parsing the noise and shaping the next wave of AI innovation.

### 10:40 AM–11:00 AM · Multi-Agent Orchestration with Elastic Workflows and Agent Builder
Solo Talk · AI Agents (technical) · Venetian Ballroom E
Speakers: Tristan Ma (Elasticsearch)
Page: https://ai4.com/sessions/multi-agent-orchestration-with-elastic-workflows-and-agent-builder/

How do you scale multi-agent intelligence without ballooning latency or costs? We built a system on Elastic using specialist agents coordinated through Workflows and Agent Builder.. We refined performance by adopting "Liquid Agent" patterns—offloading lookups to Workflows to slash token usage—and using a "measure-don’t-guess" methodology to cut latency. We also implemented granular token usage tracking within workflow indexes to enable deep historical analysis. Join us to learn how these strategies can optimize your own agent deployments for superior efficiency and observability.

### 10:40 AM–11:30 AM · Roundtable: Rockets, Robots, and Returns: Inside the New Space-AI Economy [RSVP REQUIRED]
Roundtable · Roundtable · Room 310
Speakers: Dimple Malkani (Beyond Earth Ventures)
Page: https://ai4.com/sessions/roundtable-rockets-robots-and-returns-inside-the-new-space-ai-economy-rsvp-requi/

This event requires an RSVP; to attend, submit form hereSpace is no longer just rockets and astronauts. It’s an infrastructure layer powering AI, connectivity, and energy on Earth and beyond. We’ll explore the themes in space tech today, from AI-native satellite networks and lunar or in‑orbit infrastructure to space-enabled energy, compute, and the new “picks and shovels” that make it all work. Led by Dimple Malkani at Beyond Earth Ventures, this session will also touch on the business models emerging in the space economy, how AI (including physical AI) is being or could be leveraged, and where policy and governance might accelerate or constrain these ambitions. You’ll walk away with a clearer view of what’s here now, what’s coming next, and how founders, operators, investors, and space‑curious technologists can plug into this ecosystem. Join this interactive, candid roundtable, rather than a traditional panel, to share your perspective, pressure‑test your assumptions, build community, and be part of the only space-focused gathering at Ai4. Come with your questions and your opinions to make this an interactive story-salon. This event requires an RSVP; to attend, submit form through link above.

### 10:40 AM–11:00 AM · The Agentic Enterprise: Unlocking AI Value Without Breaking the Token Budget or the Trust Boundary
Solo Talk · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Steve Stein (NVIDIA)
Page: https://ai4.com/sessions/the-agentic-enterprise-unlocking-ai-value-without-breaking-the-token-budget-or-t/

AI agents are moving enterprise AI from simple question-answering to autonomous operators that can plan, reason, use tools, coordinate sub-agents, and execute work across business systems, creating major value in productivity, service quality, and operational speed. But as agents scale, two challenges can undermine that value: tokenomics and security. Long-running reasoning loops, memory, retrieval, and tool calls can make inference costs unpredictable, while prompt injection, exposed credentials, shadow agents, ungoverned APIs, and weak observability expand the enterprise attack surface. This session will show how organizations can capture the value of agentic AI responsibly by starting HPE and NVIDIA solutions enabling safe agent creation, using on-prem systems with Local LLMs, using HPE observability to track agents, enforcing zero-trust access, governing agent identity and tools, and preserving human oversight for agents.

### 11:05 AM–11:25 AM · A New System of Trust: The Control Plane for Agentic Systems
Solo Talk · Agentic Ops & Platforms (technical) · Bellini Ballroom 2104
Speakers: Krishna Gade (Fiddler AI)
Page: https://ai4.com/sessions/a-new-system-of-trust-the-control-plane-for-agentic-systems/

AI agents are operating inside critical business workflows, making decisions, taking actions, and interacting with enterprise systems with increasing autonomy. But the infrastructure enterprises rely on was never designed for systems that reason and act on their own.As a result, many organizations are deploying agents without clear oversight for how they behave, what decisions they make, or how policy and governance should be applied. Risk surfaces only after something goes wrong, and compliance teams lack the visibility required to confidently scale adoption.The next phase of enterprise AI requires a new system of trust: a control plane for agentic systems.This session makes the case that the control plane is the real constraint in enterprise AI. We'll show what closes that gap: inline guardrails that enforce policy on coding agents’ request and response paths and fleet-wide intelligence that ties agent behavior to cost by developer, team, and token. We will also cover how the control plane serves as a foundation for auditable governance and how Fiddler Centor Models maintain low evaluation costs and can help control AI budgets. You'll leave with a concrete framework for deciding how much autonomy your agents have earned and how to extend it without losing oversight.

### 11:05 AM–11:25 AM · Adaptive Recommendations at Scale Using AI
Solo Talk · Recommendation & Ranking Systems (technical) · Bellini Ballroom 2102
Speakers: Mallika Rao (Zocdoc (ex-Netflix, Walmart, Twitter))
Page: https://ai4.com/sessions/adaptive-recommendations-at-scale-using-ai/

As recommendation systems evolve from batch-based personalization to adaptive, real-time discovery engines, infrastructure must transform too. This talk draws from large-scale experiences powering billions of recommendations and searches per day—spanning event-driven architectures, model-driven indexing, and feedback-loops built for continuous learning.We’ll explore how to evolve traditional recommender pipelines to support AI-native workloads—where training, inference, and evaluation all coexist in production. You’ll learn how leaders can architect not just systems, but trust and ambiguity—balancing experimentation and reliability while enabling teams to thrive amid shifting signals.This is a story about how distributed systems meet adaptive intelligence—and what it takes to make recommendations feel instant, relevant, and alive.In the era of AI-driven personalization, recommendation systems are no longer static ranking engines—they are adaptive ecosystems that continuously evolve through user feedback, contextual cues, and model retraining.This talk unpacks how large-scale distributed systems can transform to support this new paradigm of real-time discovery. Drawing from experience designing large recommendation and catalog-slicing infrastructures across consumer platforms, we’ll explore:Event-Driven Adaptation — How streaming signals and micro-batches bridge online and offline learning, turning user interactions into live feedback loops.Infra for Continuous Intelligence — Designing infra that allows training, inference, and evaluation to coexist seamlessly, without fragmenting data pipelines or reliability.Architecting for Ambiguity — Techniques for scaling before the problem is fully defined—building systems that embrace evolving data distributions and model behaviors.Trust & Leadership in the Loop — Why leaders must treat “infra debt” and “model debt” with equal rigor, architecting psychological and technical safety so teams can innovate responsibly.Dual-Path Execution — How maintaining separate product and infra strategies for AI adoption enables organizations to ship fast while investing deep.By the end, attendees will walk away with a playbook for evolving legacy recommender systems into adaptive, AI-native discovery platforms—and insights on how to lead teams confidently through that transition.Key TakeawaysHow to evolve recommendation infrastructure for real-time, adaptive intelligence.How to architect for ambiguity—designing systems and teams that thrive amid uncertainty.Why evaluation and feedback loops are as critical as training.How to balance product innovation with infra stability through dual execution paths.Leadership lessons for navigating the AI-driven evolution of large distributed systems.

### 11:05 AM–11:25 AM · Beyond Adoption: Building AI Judgment in the Flow of Work
Solo Talk · Workforce Upskilling For The AI Era · Titian Ballroom 2302
Speakers: Sharahn McClung (Nebius Academy)
Page: https://ai4.com/sessions/beyond-adoption-building-ai-judgment-in-the-flow-of-work/

Most enterprises can tell you whether their people use AI — but not whether their people are getting any better at it. That gap matters more than it sounds: recent field studies show that fast adoption can quietly erode the human skill underneath, producing more errors on the tasks where models are weakest and measurable skill decay once the AI is taken away. This talk explores how the real enterprise unlock isn't more adoption — it's AI judgment: knowing when to trust the model, when to override it, and when to think unaided. I will discuss why that judgment is best built during real work rather than in standalone courses, and why it should be measured rather than assumed. Attendees will leave with a practical framework for developing AI competence in the flow of work, along with the signals that distinguish a team that's genuinely improving from one that's merely adopting — or worse, deskilling the very capabilities enterprises are trying to grow.

### 11:05 AM–11:25 AM · Building Your AI Co-Creator: Helping Educators Stress Less & Reach Every Student, Every Day
Solo Talk · Education · Palazzo Ballroom E
Speakers: Maggie Mosher (University of Kansas)
Page: https://ai4.com/sessions/building-your-ai-co-creator-helping-educators-stress-less-and-reach-every-studen/

Exhausted by the lack of planning time and the pressure to meet every student's needs? It’s time to reframe AI from a feared competitor to a fatigue-reducing co-creator. This session cuts through the tech hype to give you a practical blueprint for your classroom with your own developed generative or agentic AI. Learn how to offload heavy lifting, like drafting emails, merging schedules, and lesson planning, so you can focus on what matters: connecting with students. Discover the “Break-Down-Barriers Approach” to purposefully selecting and building AI tools that solve real classroom problems, helping you collaborate seamlessly with peers, even when common plan time is non-existent. Build your own ultimate co-creator with the newest AI tools within a secure FERPA & COPPA compliant platform, safely personalizing learning for every student without burning out.

### 11:05 AM–11:15 AM · Dark Factories Ship Slop: Scale Human + AI Craft with Lights On
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Zak Mandhro (Lit Factory)
Page: https://ai4.com/sessions/dark-factories-ship-slop-scale-human-ai-craft-with-lights-on/

Organizations are racing to scale AI output through automation, but without visibility and control, that speed becomes a dark factory: more throughput at the cost of quality, context, and product differentiation. In this talk, we will show how teams can move faster without losing their competitive edge by scaling craft instead of slop. Borrowing from lights-on manufacturing, we will introduce a model for human + AI work with a shared floor, communication channels, andon-style interruptions, parallel shifts, and a dial for earned autonomy. You’ll leave with a practical understanding of how company brain, deep app integrations, agent orchestration, shifts, automations, and AI-powered improvement can accelerate output while preserving control, quality, and the human advantage.

### 11:05 AM–11:25 AM · Foundation-first Approach with Agentic AI
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Harry Murphy (Siemens - Intelligence Center X)
Page: https://ai4.com/sessions/foundation-first-approach-with-agentic-ai/

Businesses have a mandate to incorporate AI and do it now - but no one wants to commit to a stack that's obsolete in three years. Agents are the headline, but they are a means, not an end. Agents are the fastest- depreciating layer in any stack and only one piece of a longer-term goal. What lasts is the foundation on which your agents are built — a governed, contextualized view of your data that every agent quietly depends on. Get your foundation right and agents become easy to add, swap, and retire. Using Siemens Intelligence Center X as the framework, we'll show how an open, architecture-first approach builds on what you already own and keeps every future path open.​

### 11:05 AM–11:25 AM · From Pilot to Profit: A Chief Commercial Officer's Take On What AI Looks Like When It Works
Solo Talk · Beginner Start Here · Palazzo Ballroom L
Speakers: Santhi Ramesh (Pampered Chef)
Page: https://ai4.com/sessions/from-pilot-to-profit-a-chief-commercial-officer-s-take-on-what-ai-looks-like-whe/

What separates the companies compounding AI returns from the ones still waiting for ROI to arrive?Drawing on my experience as Chief Commercial Officer across Fortune 500 CPG companies and mid-size growth companies— including Hershey International, Ferrero, and Pampered Chef — and having deployed across 10 countries, 6 industries and many categories, I will share what AI actually looks like when it drives real results: 8x ROI, 33% revenue growth, and +45% increase in profitability. I will outline the key strategies that delivered profitable growth, all delivered through a commercial operating model that drives the technology strategy.In this session I will cover:- The 3 patterns that stall every AI pilot before it reaches profit- 3 real use cases across brand, product development and sales/commercial planning — each anchored to a specific business question and verified result- The AI Commercial Engine: a plain-language framework that connects AI investment directly to measurable growthYou will leave with three actions you can apply Monday morning, regardless of your industry, company size, or technical background.If you are ready to move from AI experimentation to AI results, this session will show you exactly what that looks like.

### 11:05 AM–11:25 AM · From Prompts to Playbooks: Turning Your Best Lawyers' Judgment into AI Workflows
Solo Talk · Legal · Delfino Ballroom 4103
Speakers: Greg Lambert (Jackson Walker LLP)
Page: https://ai4.com/sessions/from-prompts-to-playbooks-turning-your-best-lawyers-judgment-into-ai-workflows/

Most law firms have bought the AI tools; far fewer have turned them into repeatable process efficiency. Jackson Walker Chief Innovation Officer Greg Lambert shares the firm's working method: extract an experienced partner's patterns from their own executed matters and redlines, encode them into AI playbooks and workflows, test against live deals, and scale across the firm. He'll walk through real results, including hundreds of easement document reviews delivered in 72 hours that captured hundreds of thousands in new work, a 49-rule loan agreement playbook built from one partner's redline history, and an AI-plus-DMS workflow that is quietly retiring the firm-wide "does anyone know..." email. The talk covers what makes it work underneath: governance, cost discipline, and measuring outcomes in dollars rather than self-reported minutes saved. Attendees leave with a concrete, replicable model for moving from individual prompting to firm-wide process.

### 11:05 AM–11:25 AM · From Readiness to Agentic Execution
Solo Talk · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Hadis Bergman (Burns & McDonnell)
Page: https://ai4.com/sessions/from-readiness-to-agentic-execution/

Many enterprises are excited about agentic AI, but most are not yet ready for autonomous or semi-autonomous workflows. The real challenge is not simply building a chatbot, deploying a model, or creating a single AI agent or multi-agents workflow. The real challenge is preparing the enterprise foundation required for AI agents to safely support decisions, interact with business processes, and operate within governed environments.This session will explore how organizations can move from AI experimentation to agentic execution by strengthening the core layers of enterprise AI readiness: trusted data, clear governance, secure architecture, workflow design, human oversight, adoption planning, and measurable business value.We will focus on what enterprises need before scaling AI agents across business-critical workflows. We will discuss how leaders and technical teams can align around responsible automation, define clear decision rights, build trust through transparency, and create operating models that allow AI to support work without introducing unnecessary risk.Rather than focusing only on model capability, this session will emphasize the practical foundation required to make AI useful inside the enterprise: readiness, governance, accountability, workflow integration, and responsible scaling.

### 11:05 AM–11:25 AM · How to Eliminate Revenue Blindspots with Agentforce Sales, Powered By Momentum
Solo Talk · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Jordan Nettles (Salesforce); Ashley Blackwell-Guerra (Salesforce)
Page: https://ai4.com/sessions/how-to-eliminate-revenue-blindspots-with-agentforce-sales-powered-by-momentum/

Every customer interaction holds a revenue signal. Most never get captured in your CRM. Agentforce Sales, powered by Momentum, changes that — automatically capturing and analyzing every call, email, meeting, SMS, and more natively in Salesforce. The result? A unified data foundation connected to the systems your go-to-market team already uses. No manual data entry. No missed signals. Just complete, governed customer context that powers AI agents and revenue workflows.

### 11:05 AM–11:25 AM · ONTEX: Ontology for Tactical Execution — Autonomous Decision-Making Through Agent-Based C.A.R.E. Loop
Solo Talk · Aerospace & Defense · Palazzo Ballroom B
Speakers: Sada Narayanappa (Lockheed Martin)
Page: https://ai4.com/sessions/ontex-ontology-for-tactical-execution-autonomous-decision-making-through-agent-b/

AI is becoming smarter, yet enterprise decisions remain fragmented. What if the missing ingredient isn't another model, but a shared understanding of the enterprise? This session explores how ontologies can transform fragile, disconnected systems into an intelligent enterprise. Using ONTEX—a semantic framework combining ontologies, knowledge graphs, and AI agents—we'll examine a new approach to governed, explainable decision intelligence and ask a fundamental question: Are we building enterprise AI the right way?

### 11:05 AM–11:25 AM · Patients are Waiting: The AI Productivity Paradox
Solo Talk · Healthcare: Life Sciences & Biotech · Titian Ballroom 2304
Speakers: Kris Kaneta (Norstella)
Page: https://ai4.com/sessions/patients-are-waiting-the-ai-productivity-paradox/

Why does it still take so long to get life-changing treatments to patients? We know it’s not a lack of data or tools.In this session, I’ll talk about what’s actually slowing us down and why most solutions haven’t fixed it. I’ll share how, at Norstella, we’re using AI to connect data across the pipeline to patient journey, helping teams move from question to decision, and from decision to action. Come see how we’re reducing the work it takes for pharma teams to get to the next step and how we’re fundamentally changing how teams interact with their data.Because when that changes, everything moves faster. And therapies reach patients sooner.

### 11:05 AM–11:25 AM · Presentation by Nataliya Kosmyna, MIT
Solo Talk · AI Research Summit (technical) · Venetian Ballroom A
Speakers: Nataliya Kosmyna (MIT Media Lab)
Page: https://ai4.com/sessions/presentation-by-nataliya-kosmyna-mit/

### 11:05 AM–11:25 AM · Presentation by UnifyApps: Join the 5%: What Gets Enterprise AI to Production in Weeks
Solo Talk · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Waseem Bhatti (UnifyApps)
Page: https://ai4.com/sessions/presentation-by-unifyapps-join-the-5-what-gets-enterprise-ai-to-production-in-we/

Why do nearly 95% of enterprise AI initiatives stall in the pilot phase despite widespread adoption? The bottleneck is not the model itself, but a pre-AI architecture that bolts intelligence onto fragmented systems and siloed data. To unlock scalable value, organizations must look beyond raw model intelligence—which is only 20% of the puzzle—and address the 80% architectural challenge by establishing a Horizontal AI Operating System. This session delivers a blueprint to horizontally decouple your data and vertically move toward an assembly-first methodology using modular workflows, apps, and agents. Join us to walk away with a concrete architectural strategy to stop optimizing past limitations and start building a sovereign foundation for scalable enterprise intelligence.

### 11:05 AM–11:25 AM · TCO of going Open Weight: A Framework
Solo Talk · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Ansh Singh (Simplismart)
Page: https://ai4.com/sessions/tco-of-going-open-weight-a-framework/

Open-weight models have closed the performance gap. GLM 5.2, Gemma 4, Kimi K3 and others now hold up against closed frontier alternatives on real benchmarks. What's left unanswered is cost: what it actually takes to run these models in production, at your volume, with your team maintaining them. Most comparisons stop at GPU cost versus API cost, which misses the real picture. This session walks through the six stages that determine true TCO: model choice, configuration search, autoresearcher, shadow-load testing, and ongoing optimization, and shows the breakeven math behind each one, where self-hosting wins and where it doesn't yet.

### 11:05 AM–11:25 AM · The AI Decisions Gap: Why Model Explainability is Only Half the Battle
Solo Talk · Oversight: AI Explainability Governance & Model Risk · Lando Ballroom 4203
Speakers: Todd Barr (Axonis)
Page: https://ai4.com/sessions/the-ai-decisions-gap-why-model-explainability-is-only-half-the-battle/

When a regulator, a court, or an inspector general reviews an AI-driven decision, the first question is never "how does your model work" - it's "who decided? what did they know? and can you prove it?" Model explainability is necessary, but not sufficient: accountability lands on the human decision made on top of the model, and most organizations have no durable record of that decision at all — a gap that compounds, as AI compresses the time between insight and action, into what I call decision debt.In this session I'll make the case that the decision, not the model, is the real unit of accountability, and walk through what it takes to make decisions reproducible, attributable, and auditable the moment they are made — human attestation with separation of duties, a frozen evidence chain, and a system disciplined enough to refuse when the evidence is too thin to defend. I'll ground it in real use cases, like a live AI-enhanced flood-warning deployment, and in why governing decisions well makes teams faster, not slower. If you build, audit, or answer for AI that drives consequential decisions, you'll leave with a sharper way to close the gap between a model you can explain and a decision you can defend.

### 11:05 AM–11:25 AM · The Dumbest Questions People Still Ask About Securing AI
Solo Talk · Generative AI (technical) · Veronese Ballroom 2504
Speakers: Liv Porter (Gray Swan)
Page: https://ai4.com/sessions/the-dumbest-questions-people-still-ask-about-securing-ai/

Are you still asking "can we jailbreak the model?" when the real vulnerabilities are already inside your pipeline?Security teams keep treating AI risk like a chatbot parlor trick instead of identifying the gap where real breaches happen. Attendees will learn which "obvious" AI security questions are actually wasting their time, and which unglamorous ones deserve real budget and attention. You'll walk away with a sharper checklist for what actually matters when securing AI systems in production. Come find our if your team's threat model is protecting you or just making you feel safe.

### 11:05 AM–11:25 AM · The Future of RAG: Real-Time, Multimodal, and Personalized
Solo Talk · Enterprise Unlocks: RAG & Proprietary Data · Titian Ballroom 2306
Speakers: Bonnie Chase (Vespa.ai); Harini Gopalakrishnan (Vespa.ai)
Page: https://ai4.com/sessions/the-future-of-rag-real-time-multimodal-and-personalized/

In this session, we’ll explore what it really takes to build scalable multimodal and personalized RAG systems for real-world applications. How do you search across images and text simultaneously to surface the most relevant answers in life sciences or financial services? How do leading e-commerce platforms combine semantic understanding, inventory, pricing, user behavior, and personalization in real time?We’ll break down the core architectural challenges behind modern retrieval systems, including latency, data freshness, hybrid search, ranking orchestration, and combining structured, unstructured, and vector-based data within a single query pipeline. The session will also demonstrate how Vespa powers large-scale AI applications by unifying retrieval, ranking, vector search, and serving in a single platform — enabling companies such as Spotify, Perplexity, and RavenPack to deliver real-time AI experiences at scale.Through real-world examples from life sciences, financial services, and e-commerce, you'll learn how organizations are moving beyond basic RAG architectures to build AI systems that are accurate, adaptive, and production-grade.

### 11:05 AM–11:25 AM · The Hidden Risks of AI Coding Tools
Solo Talk · Cybersecurity · Marcello Ballroom 4404
Speakers: Jacob Rideout (HiddenLayer)
Page: https://ai4.com/sessions/the-hidden-risks-of-ai-coding-tools/

Your IDE now executes instructions it finds in a README, on your behalf, with your keys. Coding agents run with your full permissions and still can't separate your instructions from the text they read, so prompt injection has no general fix and tighter access control won't help when broad trusted reach is the job.This talk shows the three ways an agent turns on you: hijacked by the content it reads, poisoned by its own tooling, or off the rails with no attacker at all. Each has already happened, from a poisoned pull request title that made code-review agents leak their own secrets, to malware that turned developers' own AI assistants into the intruder, to a major lab's own model escaping its sandbox and breaching a production system during an internal evaluation. Pointing another AI at the problem fails too, since planted text can talk an AI reviewer out of its own findings.You'll leave with a control loop to put around every agent, plus one test for your own stack: can you replay what an agent did, stop it mid-task, bound what it reaches, and name who answers for it?

### 11:05 AM–11:25 AM · The Hidden Tax on AI: How Connectivity and Identity Unlock Real AI ROI
Solo Talk · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Remy Guercio (Tailscale)
Page: https://ai4.com/sessions/the-hidden-tax-on-ai-how-connectivity-and-identity-unlock-real-ai-roi/

What if the biggest barrier to successful AI adoption isn’t your model but the infrastructure around it?Most companies are not trying to train their own models. They are trying to integrate AI into real products, workflows, and internal systems. The real challenge appears after the prototype works and teams try to safely connect AI to production data, internal APIs, and the services that power their applications.Suddenly what looked like a fast path to value turns into months of networking changes, security reviews, and fragile infrastructure. This talk explores the hidden infrastructure tax that slows AI adoption through exposed endpoints, complex connectivity between services, and overprivileged systems.I will show how identity based connectivity simplifies AI architecture, keeps services private, and enforces granular access across people, applications, and AI agents.The result is faster time to production, stronger governance over AI enabled systems, and the ability to safely connect AI into existing products without exposing critical infrastructure. If your organization is trying to turn AI adoption into real business value, this session shows why solving connectivity is one of the fastest ways to move forward.

### 11:05 AM–11:25 AM · The Missing Half of AI Coding
Solo Talk · Software Engineering · Lando Ballroom 4204
Speakers: Gal Vered (Checksum)
Page: https://ai4.com/sessions/the-missing-half-of-ai-coding/

AI coding agents have solved the easy problem. The hard part, Verification, remains broken. In this talk I'll introduce the Code World Model: the infrastructure layer that lets AI agents simulate production before a single line ships, closing the gap between what an agent can see and what actually determines whether software works. I'll explain why coding agents need the same world model solution autonomous vehicles found. Attend if you're building or betting on autonomous software engineering.

### 11:05 AM–11:25 AM · The ROI Illusion: Why Most Enterprise AI Isn’t Paying Off
Solo Talk · Oversight: AI ROI · Palazzo Ballroom D
Speakers: Guru Bhat (Evalueserve)
Page: https://ai4.com/sessions/the-roi-illusion-why-most-enterprise-ai-isn-t-paying-off/

Most companies aren't failing at AI because the technology is weak. They're failing because they're automating workflows that were never designed for AI in the first place, and calling it transformation. Gururaj Bhat spent over 25 years inside Google Cloud and Wipro helping the world's largest enterprises put data and AI to work at scale, before an early Google Cloud lunch conversation still shapes how he leads today: real ROI doesn't come from adding AI on top of a broken process. It comes from putting engineers and domain experts in the same room and rebuilding the process itself. Now leading Data & AI at Evalueserve, Guru will break down why so many AI investments stall before they hit the P&L, what separates companies that see real returns from those stuck in pilot purgatory, and the practical framework he uses to close the gap between AI adoption and AI value. If your AI roadmap looks impressive in a slide but hasn't moved a single business metric, this session is for you.

### 11:05 AM–11:25 AM · Winning the AI Agents Edge Race
Solo Talk · AI Agents (technical) · Venetian Ballroom E
Speakers: David Chun (Columbia University)
Page: https://ai4.com/sessions/winning-the-ai-agents-edge-race/

AI agents are advancing from prototypes to production, yet large organizations often face challenges such as fragmented workflows, noisy context, tool failures, cost constraints, and inadequate evaluation. This talk will address how to bridge the AI agent value gap using context window and token optimization, orchestration, loop engineering, referee-based control layers, and LLMOps. We will link recent findings on stalled AI pilots to practical architectural choices that enhance reliability, observability, governance, and operational value. Attendees will learn to design agentic systems that retrieve relevant context, coordinate tools safely, manage runtime behavior, minimize token waste, and validate outputs before execution. This session will equip technical leaders, CIOs, and AI practitioners to move beyond chatbot pilots and deploy production-ready AI agent systems that operate safely and reliably at enterprise scale.

### 11:05 AM–11:25 AM · Your Martech Stack Doesn't Need Another Dashboard. It Needs a Nervous System.
Solo Talk · Marketing & Growth · Marcello Ballroom 4403
Speakers: Vivek Vaidya (Kana)
Page: https://ai4.com/sessions/your-martech-stack-doesn-t-need-another-dashboard-it-needs-a-nervous-system/

The average enterprise marketing team now manages roughly 90 marketing cloud services, and yet campaign velocity and attribution haven't meaningfully improved in a decade. The problem isn't a lack of data or tooling. The problem is that your stack can see, but it can't think.The next frontier in marketing technology isn't another point solution. It's an operating layer, an enterprise-grade system that provides loosely coupled AI agents that work with the tools you already have, learns from your data continuously, and coordinates action across channels in real time. Think of it as adding a nervous system to a body that, until now, has only had organs.In this session, as a serial CTO who built and sold marketing technology platforms to Microsoft and Salesforce, I will walk through what the future of agentic marketing looks like, and why an enterprise-grade AI platform is a baseline necessity for security, governance, and to future-proof your investment in AI. During the presentation I'll cover: (1) What counts as enterprise-grade AI, (2) How you should approach your transition to agentic AI in a marketing-specific context, and (3) Show you live demonstrations of what you can achieve that was never possible before.If you've ever purchased and configured marketing technology that creates more work than it eliminates, and if you're eager to understand what's truly possible in the next era of AI, my presentation will teach you how to evaluate your technology choices as you navigate the transition to Agentic Marketing.

### 11:15 AM–11:25 AM · AI Agents That Operate Infrastructure - Lessons from a Tier 1 bank deployment
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Scott Rowlandson (NetOrca)
Page: https://ai4.com/sessions/ai-agents-that-operate-infrastructure-lessons-from-a-tier-1-bank-deployment/

Modern “AIOps” mostly means better alerts and nicer dashboards. The hard part, actually operating infrastructure, still relies on humans writing integrations, stitching together tools, and executing runbooks under pressure.In this session I’ll show a different pattern: AI agents as operators, where the agent can plan and execute real changes safely across your existing systems. The key is a “universal executor” approach: instead of building and maintaining bespoke integrations, we give the agent the API documentation (or an OpenAPI spec), plus a small set of operational guardrails, and it generates the required calls, validates the outcome, and self-heals when the real world pushes back (rate limits, inconsistent schemas, partial failures, missing permissions, stale state, etc.).I’ll walk through what we built at NetOrca (our self‑service infrastructure orchestration platform) and what we learned running it in production at NatWest Bank — at enterprise scale, with real constraints and real consequences. You’ll see how we handle the messy parts people skip in demos: idempotency, retries, rollback strategies, state-machine concurrency, noisy or contradictory API docs, safe prompting, and how we prevent an agent from “doing the wrong thing” when it’s confident but incorrect.We’ll cover:The architecture: planning → execution → validation → repair loop (and why “tool calling” alone isn’t enough)How to make “docs → execution” reliable in the face of bad specs and unpredictable APIsGuardrails that work in practice (scopes, allowlists, policy checks, change windows, blast-radius limits)Observability: how you debug agent actions like you debug humans (audit trails, structured step logs, reproducible runs)What enterprise adoption actually looks like: trust-building, controlled rollout, and the line between automation and autonomyIf you’re building agentic systems for infrastructure, DevOps, network/security ops, or internal platforms, you’ll leave with a concrete blueprint for moving beyond copilots and into agentic operations that ship real changes plus the production lessons that only show up when you run this stuff for real.

### 11:30 AM–11:50 AM · AI as an Operating System, Not a Tool: How Operators Drive ROI
Solo Talk · Oversight: AI ROI · Palazzo Ballroom D
Speakers: Sriram Ganapathy (tarte cosmetics)
Page: https://ai4.com/sessions/ai-as-an-operating-system-not-a-tool-how-operators-drive-roi/

The real barrier to AI ROI is not intelligence; it is decision latency. Most organizations already have the signals, the data, and smart people, but value leaks while information moves through handoffs, reports, and meetings. Drawing on operating experience at tarte cosmetics across launch inventory, customer feedback, finance signals, and capital allocation, this talk shows how operators can treat AI not merely as a standalone tool or software platform, but as a management system that compresses the path from signal to accountable action. It examines how to connect AI to revenue quality, margin, working capital, and risk; screen initiatives before capital is committed; and define bounded authority for AI without delegating human accountability. Attendees will leave with a practical decision-loop framework and six questions for determining whether an AI initiative will change how the business moves—or simply add another layer of output.

### 11:30 AM–11:50 AM · Applying AI in Performance Marketing: Practical Lessons from Operating at Scale
Fireside Chat · Marketing & Growth · Marcello Ballroom 4403
Speakers: Kristin Stoller (Fortune); Wesley Haar (Monks); James Croom (Google)
Page: https://ai4.com/sessions/applying-ai-in-performance-marketing-practical-lessons-from-operating-at-scale/

In this fireside chat, James Croom and Wesley ter Haar will share practical perspectives on applying AI in performance marketing within a large, globally distributed marketing organization. The discussion will focus on operational learnings from working at scale across multiple markets, teams, and approval environments, with examples anchored in Chrome-specific work.Topics will include how AI can support faster creative development, more efficient production workflows, and increased agility in refreshing marketing assets. The session will also examine the organizational side of adoption, including the investment required to build new capabilities and adapt ways of working as tools and processes continue to evolve.Designed as a candid but practical conversation, the session will highlight what teams are learning as they integrate AI into modern marketing operations, while staying focused on grounded use cases and implementation realities rather than broad industry speculation.

### 11:30 AM–11:50 AM · Beyond the IDE: Agent-Based Engineering 101
Solo Talk · Software Engineering · Lando Ballroom 4204
Speakers: Justin Johnson (Renaissance Benefits)
Page: https://ai4.com/sessions/beyond-the-ide-agent-based-engineering-101/

If you're already using Cursor or Claude Code, you're closer to agent-based engineering than you think. This talk is a practical on-ramp for engineers ready to move past IDE autocomplete and into agents that live in Slack, open their own PRs, and update tickets on their own — without jumping straight into a standalone agent framework you don't need yet. I'll walk through the four things that actually make an agent work — interface, tools, guardrails, and workflow — starting with the tools you already have, and share the mistakes I made at each step so you can skip them, as you go from one agent to a few.

### 11:30 AM–11:50 AM · Do your AI Agents dream of vibe coded sheep? Managing durable agent memories
Solo Talk · AI Agents (technical) · Venetian Ballroom E
Speakers: Jason Davenport (Google)
Page: https://ai4.com/sessions/do-your-ai-agents-dream-of-vibe-coded-sheep-managing-durable-agent-memories/

The systems around agents make them smarter and better equipped, with systems like memory and session management. Learn how to build an AI system that self-improves by generating, storing, and improving agent 'memories'. You'll learn how to create dreams and use systems of agents to autonomously improve your agent fleet.

### 11:30 AM–11:40 AM · Everyone Is Building AI. Who is Rebuilding Their Business? The Three Waves of AI Transformation and Where Value Moves
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Brandon Barnett (Trigate Coaching)
Page: https://ai4.com/sessions/everyone-is-building-ai-who-is-rebuilding-their-business-the-three-waves-of-ai-t/

Everyone is racing to build AI. Far fewer organizations are preparing for how AI will reshape where value is created and who captures it.Most companies are still focused on AI's first wave: improving productivity. But every major technology shift changes the constraints that define value. As AI removes old constraints, new forms of scarcity emerge, shifting competitive advantage, business models, and ultimately entire industries.In this thought-provoking session, Dr. Brandon Barnett introduces the Three Waves of AI Transformation and a practical framework for understanding how value migrates during disruption. You'll discover why strategic clarity—not AI adoption alone—is becoming the ultimate competitive advantage, and how leaders can use AI not just to automate work, but to rethink how their organization creates value in an AI-first world. The future won't belong to the organizations building the most AI. It will belong to the organizations building businesses around where value is moving.

### 11:30 AM–12:20 PM · From AI Curiosity to Readiness: Building AI Solutions That Matter for Nonprofits & Small Businesses [RSVP REQUIRED]
Roundtable · Roundtable · Room 305
Speakers: Thomasina Anane (Alliance of Community Health Plans (ACHP))
Page: https://ai4.com/sessions/from-ai-curiosity-to-readiness-building-ai-solutions-that-matter-for-nonprofits/

AI is no longer an experiment - the question is how small organizations turn adoption into lasting value. In a national survey of nearly 500 U.S. small-business decision-makers, 74% expressed interest in using AI or automation, while 46% reported only a beginner’s understanding of its benefits. The conversation has shifted from whether to adopt AI to how to deploy it responsibly, strategically and at an appropriate scale. The AI advantage for small organizations will not come from having the biggest budget—it will come from making intentional leadership decisions. This interactive roundtable will bring together leaders from nonprofits and small businesses to exchange practical approaches to governance, prioritization, adoption and building AI solutions that matter. This event requires an RSVP; to attend, submit form here

### 11:30 AM–11:50 AM · Generative AI for Grocery E-Commerce
Solo Talk · Generative AI (technical) · Veronese Ballroom 2504
Speakers: Pradeep Karuturi (Instacart)
Page: https://ai4.com/sessions/generative-ai-for-grocery-e-commerce/

In this talk, I will illustrate how Instacart leverages multimodal Large Language Models (VLMs) to transform grocery e-commerce by solving complex challenges in catalog intelligence and fulfillment. Traditional text-based or embedding-based models struggle with the noisy, real-world data inherent in grocery retail. I will explain how we successfully deployed VLMs to handle multimodal inputs, drastically improving product matching and attribute extraction across our massive catalog. You will also learn about our practical strategies for productionizing these models, including self-reflection techniques to mitigate hallucinations and knowledge distillation to optimize for cost and latency.

### 11:30 AM–12:10 PM · How Journalists Used AI to Cover the Epstein Files
Fireside Chat · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Marshall Cohen (CNN); Matt Stiles (CNN); Ryan Struyk (CNN)
Page: https://ai4.com/sessions/how-journalists-used-ai-to-cover-the-epstein-files/

You've heard about the Epstein Files, but do you know how reporters used AI to cover the story? Three CNN journalists will explain how they used AI to analyze 3.5 million documents from the Jeffrey Epstein investigation. The talk will explore how new AI-powered tools allowed journalists to smartly sift through a massive dataset in ways that weren't possible just a few years ago, to uncover new stories. We'll also explore the limits of these tools, and the continued importance of human verification. The discussion will be of interest for journalists, lawyers, investigators of all sorts, and anyone who followed one of the most explosive news stories of the year.

### 11:30 AM–11:50 AM · Human Advantage: Building an AI-Ready Workforce Together
Solo Talk · Workforce Upskilling For The AI Era · Titian Ballroom 2302
Speakers: Edmund Clark (The California State University)
Page: https://ai4.com/sessions/human-advantage-building-an-ai-ready-workforce-together/

In the AI era, the advantage will go to universities, employers, and workers that can develop capabilities faster than their peers.As AI reshapes everyday work, the challenge is no longer just adoption. It is aligning education, employer demand, and human capability quickly enough to prepare people for success in a rapidly shifting labor market.Attendees will learn how universities, employers, and knowledge workers can partner to accelerate workforce readiness, translate emerging AI needs into practical capability, and move from isolated experimentation to scalable talent strategy. They will also gain a clearer view of the human skills, work-based learning models, and upskilling pathways that will define success in an AI-enabled economy.Attend this session to see how collaborative, market-responsive partnerships can help your organization and your workforce upskill fast enough to compete and win.

### 11:30 AM–11:50 AM · Human-Centric Engineering: Moving From What's Possible to What's Beneficial
Solo Talk · Oversight: AI Explainability Governance & Model Risk · Lando Ballroom 4203
Speakers: Pam Snively (TELUS)
Page: https://ai4.com/sessions/human-centric-engineering-moving-from-what-s-possible-to-what-s-beneficial/

How does human-centric engineering bridge the gap between technical delivery and user confidence? Implementing trustworthy AI practices is the right thing to do - and a market differentiator that accelerates adoption. Learn how to align ethical guidelines, compliance demands, rigorous risk assessments, and engineering standards to become truly trustworthy. Attendees will take away an understanding of the power of the ‘voice of the customer’ in developing solutions that benefit people - as well as their business. By transparently employing rigorous safeguards and customer-centric innovation, organizations can overcome adoption resistance and embrace AI that benefits all.

### 11:30 AM–11:50 AM · Inside the Olympic AI Agenda: Blueprint for Transformation
Solo Talk · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Alejandro Merino-Madrid (International Olympic Committee (IOC))
Page: https://ai4.com/sessions/inside-the-olympic-ai-agenda-blueprint-for-transformation/

What happens when AI not only analyses sport—but actively shapes it in real time?/In this talk, I will show how AI is becoming a system-level force across the Olympic Movement—from protecting athletes against online abuse to optimising Games operations and sustainability at scale. I will explain how we turn ambition into execution through the Olympic AI Agenda and its five strategic focus areas./You will learn how to move from isolated AI pilots to integrated, high-impact solutions, with real use cases such as digital twins, AI-driven fan experiences, and operational optimisation. I will also show how to balance bold innovation with strong governance—ensuring AI delivers value while safeguarding trust, fairness, and Olympic Values./ Join this session to learn how to turn AI into a true transformation engine for sport—not just another layer of technology.

### 11:30 AM–12:10 PM · Joint LLM-Infused Embeddings for Explainable Financial Recommendations at Scale
Solo Talk · Recommendation & Ranking Systems (technical) · Bellini Ballroom 2102
Speakers: Alejandro Correa Bahnsen (Grupo Bursátil Mexicano)
Page: https://ai4.com/sessions/joint-llm-infused-embeddings-for-explainable-financial-recommendations-at-scale/

Traditional recommendation systems such as collaborative filtering and market-signal models often fail to capture investor intent and rarely provide meaningful explanations. In this talk, I will present a financial recommender that jointly models investor behavioral signals (holdings, watchlists, interaction patterns) and market dependency structures using fine-tuned LLM-based embeddings in a shared representation space.I will explain how this joint embedding approach improves relevance, diversity, and stability compared to behavior-only or market-only baselines, and how we evaluate these gains both offline and in production-oriented settings. The talk will also cover architectural decisions, representation learning trade-offs, and explainability strategies needed for real-world deployment.If you are building ranking systems in high-stakes domains, this session will offer concrete patterns for combining foundation models with structured financial data in a scalable and interpretable way.

### 11:30 AM–12:10 PM · Leveraging Agentic AI for Vulnerability Remediation
Solo Talk · Cybersecurity · Marcello Ballroom 4404
Speakers: Rick Doten (AiSuNe)
Page: https://ai4.com/sessions/leveraging-agentic-ai-for-vulnerability-remediation/

We have more than enough tools to find cybersecurity vulnerabilities; we need help fixing all the things we find.And security teams don't fix vulnerabilities, we find vulnerabilities. We've automated how to find security risks, but still manually fix them. And it's the IT teams that remediate findings. We need to empower IT with tools an automation to help them dig out of the thousands of vulnerabilities we pass them each month. There are automated workflows and Agentic tools that mimic all the steps humans take to remediate; define problem, prioritize, determine root cause, develop the remediation, test the fix to make sure it doesn't impact other components or affect performance, and create ticket to put into change control process. This session shows how, by using a set of tools and Agentic AI, we can help IT keep up with the deluge of vulnerabilities they are asked to fix each week by automating the most time consuming steps to get tickets closed. We understand historically we were worried about automating system changes because it might make a mistake that disrupt the infrastructure. But our fears are from historic platforms or scripts that had no context. With Agentic AI, we can go through all the steps a human engineer would, with greater speed and accuracy, and provide all the evidence of completeness in a configuration change ticket before being sign-off by a human or other approval process. We have to become comfortable automating remediation or we will continue to pile up tickets for vulnerabilities that will never get fixed.

### 11:30 AM–11:50 AM · Measuring ROI and AI Innovation Impact: Success Stories
Solo Talk · Legal · Delfino Ballroom 4103
Speakers: Stephen Henn (DLA Piper LLP)
Page: https://ai4.com/sessions/measuring-roi-and-ai-innovation-impact-success-stories/

When generative AI emerged, many law firms viewed it as an existential threat to the traditional practice of law. DLA Piper chose a different path. This session tells the story of how the firm transformed AI from a disruptive force into a strategic advantage—building an enterprise AI platform that delivers measurable business outcomes for both the firm and its clients. Rather than focusing on hype or future possibilities, this presentation shares real-world examples of AI deployments that have generated measurable financial and business impact through improved legal operations, accelerated client outcomes, and new service models. Attendees will leave with practical insights into AI strategy, governance, organizational change, and how to move beyond productivity gains to enterprise-scale ROI.

### 11:30 AM–12:15 PM · RAG Tools and Solutions: Building Effective Retrieval-Augmented Generation Systems
Panel Session · Enterprise Unlocks: RAG & Proprietary Data · Titian Ballroom 2306
Speakers: Sam Newnam (Secuvy); Shubham Shukla (Nordstrom); Selim Mimaroglu (Fannie Mae); Luis Romero-Sevilla (Orbis Operations); Mark Menger (F5)
Page: https://ai4.com/sessions/rag-tools-and-solutions-building-effective-retrieval-augmented-generation-system/

Retrieval-Augmented Generation (RAG) has become a cornerstone for enterprise AI, enabling models to ground outputs in proprietary knowledge and deliver trustworthy results. This panel will break down the critical components of a RAG system, from data ingestion and indexing, to vector databases, embedding models, retrieval pipelines, and response optimization layers. Panelists will explore the evolving vendor landscape, comparing open-source and commercial RAG platforms, as well as strategies for integrating them into enterprise environments. Expect discussion on cost, latency, scalability, and governance trade-offs, plus real-world use cases where RAG has unlocked measurable business value. Attendees will walk away with a blueprint of the cutting-edge RAG tools and strategies needed to move beyond experimentation and build production-grade AI applications.

### 11:30 AM–11:50 AM · Rewriting Student Records Through Blockchain Innovation
Solo Talk · Education · Palazzo Ballroom E
Speakers: Pamela Luckett (Dallas College)
Page: https://ai4.com/sessions/rewriting-student-records-through-blockchain-innovation/

What if student records were not just files but living, intelligent credentials that opened doors the moment learning happened? In this session, I will reveal how blockchain is poised to dismantle outdated transcript systems and replace them with trusted, portable, student-owned records that move seamlessly across education, careers, and opportunity pathways. This discussion will spotlight real use cases, bold prototypes, and the new trust framework that will define the next era of learner data. Attendees will walk away with a clear vision of what is possible, a roadmap for institutional readiness, and the inspiration to lead this transformation. If you are ready to experience how credentials are being transformed, you do not want to miss this session.

### 11:30 AM–11:50 AM · Right-sized Infrastructure for Agentic AI Workloads
Solo Talk · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Sama Bali (NVIDIA); Robert Hartman (Dell Technologies)
Page: https://ai4.com/sessions/right-sized-infrastructure-for-agentic-ai-workloads/

Overbuilding wastes budget. Underbuilding stalls your roadmap. This session breaks down how the modular architecture of the Dell AI Factory with NVIDIA lets developers start right-sized and expand compute, storage, or networking independently as workloads grow. We'll connect this flexibility to the realities of agentic and distributed inferencing, where demand can shift fast and unpredictably. You'll learn how to match infrastructure to actual workloads and keep your path to scale predictable.

### 11:30 AM–11:50 AM · Scaling Enterprise AI in Asset Management
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Lily Li (Franklin Templeton)
Page: https://ai4.com/sessions/scaling-enterprise-ai-in-asset-management/

AI is delivering on its promise, and leading enterprises are already on the journey to scale its impact. As companies move beyond siloed pilots, the focus shifts to integrating AI into how the business actually runs. This session explores how a large asset manager positions AI as a driver of end-to-end transformation, catalyzing new ways of working that deliver real business value across research, portfolio management, distribution, operations, and client engagement. It highlights how agentic AI, multi-agent platforms, business co-creation, and trust-based adoption are embedded from day one, enabling the scaling of common, reusable AI capabilities across the organization.What You'll Take Away:Beyond the pilot — why the winners redesign how work happens, not just automate tasks.Reusable by design — the platform approach that compounds value instead of multiplying copilots.The real moat — why it isn't the model.Trust from day one — scaling AI where the stakes, and the regulators, are real.What's next — the shift to AI-native operating models, and what it means for your business.Who Should Attend:Investment, distribution, technology and operations leaders ready to move past experimentation and drive enterprise-wide AI transformation.

### 11:30 AM–11:50 AM · Shortcutting Time and Depth in Diffusion Models for Faster Agentic Applications
Solo Talk · AI Research Summit (technical) · Venetian Ballroom A
Speakers: Denis Gudovskiy (Panasonic North America)
Page: https://ai4.com/sessions/shortcutting-time-and-depth-in-diffusion-models-for-faster-agentic-applications/

Diffusion models have emerged as a powerful alternative to conventional autoregressive LLMs, offering fast parallel token generation, built-in quality control, and native multi-modality support. However, their iterative denoising process remains computationally expensive for cost-effective deployments. This talk will detail recent few-step generation methods that substantially reduce sampling complexity. I will then bridge these technical optimization strategies with the broader architectural shift of integrating diffusion models into next-generation AI agents across language, video, audio, and robotics. Attendees will walk away with an understanding of recent trends in computationally efficient AI architectures, preparing them to build and deploy the next wave of diffusion-based VLAs (Vision-Language-Action Models), WAMs (World Action Models), and Computer Use Agents (CUAs).

### 11:30 AM–11:50 AM · The Art of the Possible, AI Enabled Unmanned Systems
Solo Talk · Aerospace & Defense · Palazzo Ballroom B
Speakers: Sammy Hamilton (Heven Aerotech)
Page: https://ai4.com/sessions/the-art-of-the-possible-ai-enabled-unmanned-systems/

AI isn't a feature you bolt onto a drone. It's the decision that determines whether your platform can operate independently, even when connectivity is lost and there's no one at the controls. In this session, I'll walk through how AI is reshaping drone technology from the ground up: onboard perception, navigation without GPS, real-time decision-making, and multi-vehicle coordination. I'll address the critical question head-on: should drones be AI-enabled, and to what extent? I'll draw from hands-on experience building AI and autonomy capabilities for hydrogen-powered UAS platforms serving the global market. I'll cover what AI can do today for autonomous drones, what it can't, and why that distinction matters. You'll leave with a clear picture of what's real, what's next, and what's still missing in what may be AI's fastest-moving application domain.

### 11:30 AM–11:50 AM · The Death of the App: Zero-App Interfaces & the Rise of AI-Orchestrated Mobility Experiences
Solo Talk · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Armin Prommersberger (HARMAN International)
Page: https://ai4.com/sessions/the-death-of-the-app-zero-app-interfaces-and-the-rise-of-ai-orchestrated-mobilit/

For twenty years digital experiences were built around a single assumption: users open an app, navigate menus, and adapt to product’s logic. That assumption is collapsing. The next interface is not a screen -- it’s intent, mediated by AI. We call this shift "Zero-App/AI-First Interfaces." In automotive, this shift is existential: the vehicle cabin is becoming the most contested surface for AI-led experience orchestration. This session examines what model is dying inside the vehicle -- and what must replace it to deliver trust, safety, and genuine delight. The opportunity is massive: the car can become the most context-rich node in a consumer’s daily ecosystem. The risk is just as large: if automotive doesn’t own the orchestration layer, it becomes a commodity endpoint in someone else’s AI universe. The session will examine the gaps between rhetoric and reality across orchestration AI, UX continuity, trust, and operating models. The “Zero-App” shift is not a UX trend... it’s a business model shift. When intent becomes the interface, distribution changes, data control changes, brand value changes, and “who owns the customer” gets rewritten.

### 11:30 AM–12:10 PM · Transformation of Oncology R&D through AI
Solo Talk · Healthcare: Life Sciences & Biotech · Titian Ballroom 2304
Speakers: Jorge Reis-Filho (AstraZeneca)
Page: https://ai4.com/sessions/transformation-of-oncology-r-and-d-through-ai/

The AI transformation of drug design and clinical development is already under way.Multimodal foundation models and increasingly capable agents are increasing R&D capabilities at a scale that were inconceivable not a few years ago. Realizing their potential will require fit-for-purpose data, rigorous evals and benchmarks and deep grounding in biology and clinical reality. Getting this right will help us to not only move faster, but also generate novel insights to enable us to ask better questions, design more discriminating experiments, and deliver more meaningful advances for patients.

### 11:30 AM–11:50 AM · Under the Hood: A Unified ML Framework Driving AI Experiences in Mercedes-Benz Vehicles
Solo Talk · Agentic Ops & Platforms (technical) · Bellini Ballroom 2104
Speakers: Frankie Cancino (Mercedes-Benz Research & Development)
Page: https://ai4.com/sessions/under-the-hood-a-unified-ml-framework-driving-ai-experiences-in-mercedes-benz-ve/

Managing AI at Mercedes-Benz scale requires a seamless bridge between data and deployment. This session breaks down our unified ML framework: a single ecosystem orchestrating data pipelines, model training, fine-tuning, and comprehensive job tracking. Learn how we architected this platform to support the dual demands of low-latency real-time inference and high-throughput batch processing for vehicles and internal users.

### 11:30 AM–12:10 PM · What Happens to the Enterprise When Intelligence Becomes Abundant?
Solo Talk · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Erin Boyd (The AES Corporation)
Page: https://ai4.com/sessions/what-happens-to-the-enterprise-when-intelligence-becomes-abundant/

Most discussions about AI agents focus on deployment, scale, and governance. This session explores a different question: what happens if they succeed? Modern organizations were built on a simple premise: bringing people, expertise, and decision-making together inside a company was more efficient than coordinating them through the market. As AI agents reduce the cost of accessing knowledge, coordinating work, and making decisions, leaders may need to rethink not only how work gets done, but why organizations are structured the way they are in the first place.Rather than asking how to scale AI agents, attendees will be encouraged to ask a more fundamental question: what would they design differently if they were building their organization today in a world of abundant intelligence?

### 11:30 AM–12:10 PM · Where Do Most Organizations and People Go Wrong With AI, What Are the Most Common Mistakes, and How to Get Ahead
Solo Talk · Beginner Start Here · Palazzo Ballroom L
Speakers: Miguel Paredes (Kearney / AI Fund)
Page: https://ai4.com/sessions/where-do-most-organizations-and-people-go-wrong-with-ai-what-are-the-most-common/

We explore where most organizations and people go wrong with AI, what are the most common mistakes, and how to get ahead

### 11:40 AM–11:50 AM · TekFlix: How AI Turns Data Into Cinematic Stories
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Pinaki Saha (Anshar Labs)
Page: https://ai4.com/sessions/tekflix-how-ai-turns-data-into-cinematic-stories/

What if your densest knowledge, the webinars, the PDFs, the hour-long trainings, could become a 90-second reel someone actually watches? Content has exploded, but attention has compressed, and enterprises are losing institutional knowledge to retirement faster than anyone can document it. I'll introduce TekFlix, the platform I've built that turns unstructured content into cinematic micro-stories, and Graphit, the knowledge graph engine behind it that lets AI understand a story before it can tell one. The talk will walk through how this pipeline plays out in healthcare, enterprise training, and media, where the same system turns oncology webinars into patient education and onboarding manuals into bingeable series. Come see how understanding, expression, and experience come together to make knowledge spread like content instead of sitting like documentation.

### 11:55 AM–12:15 PM · AI Blind Spots: Why Ungoverned AI is Your Biggest Enterprise Risk - How to Mitigate it?
Solo Talk · Oversight: AI Explainability Governance & Model Risk · Lando Ballroom 4203
Speakers: Nitin Gupta (YASH Technologies)
Page: https://ai4.com/sessions/ai-blind-spots-why-ungoverned-ai-is-your-biggest-enterprise-risk-how-to-mitigate/

The rise of autonomous AI agents is transforming business, but unexplained, disconnected deployments are creating chaos. These AI blindspots lead to runaway costs, compliance failures, and severe data vulnerabilities. This session breaks down the hidden dangers of "shadow AI" and provides a roadmap to fix it. Discover how to deploy centralized governance and real-time observability to ensure your AI agents operate securely, transparently, and completely aligned with enterprise standards.

### 11:55 AM–12:15 PM · AI for the Physical World: How Intelligent Systems Create Value Where Work Happens
Solo Talk · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Danny Rodriguez (CoolSys)
Page: https://ai4.com/sessions/ai-for-the-physical-world-how-intelligent-systems-create-value-where-work-happen/

AI’s next wave will be defined not by better answers, but by better decisions and execution in the places where physical work actually happens, including trucks, branches and stores, facilities, and equipment rooms. This session explores how intelligent systems can create measurable value across field service, branch operations, procurement, and other asset-intensive environments, where downtime is real, context is messy, and trust is essential.Attendees will learn how to strategically position where AI and other automations tools can provide value, especially when dealing with legacy systems, disconnected processes, incomplete data and lack of ownership of the equipment being serviced. Attendees will leave with a practical framework for starting small, proving value, and expanding AI safely while amplifying skilled teams.

### 11:55 AM–12:15 PM · AI Is Winning the Race. Losing the Room.
Solo Talk · Marketing & Growth · Marcello Ballroom 4403
Speakers: Laura Nespoli (Article Group)
Page: https://ai4.com/sessions/ai-is-winning-the-race-losing-the-room/

The AI race continues. Market leaders are pushing the boundaries, while everyone else is trying to keep up by developing, integrating, and selling their own AI solutions. The problem is: product capabilities have moved faster than buyer trust and understanding.The product is ahead of the story. This session examines the widening gap between what AI can do and what people are actually prepared to understand and embrace. We’ll look closely at why so much AI messaging feels interchangeable and what buyers actually care about (it’s not your speed or your data). Attendees will leave with a clearer way to market their AI solutions, and a sharper framework for turning AI capability into a go-to-market story that resonates with buyers.

### 11:55 AM–12:15 PM · Autonomous Driving Humanoid Robot
Solo Talk · AI Research Summit (technical) · Venetian Ballroom A
Speakers: Sungho Kim (Hyundai Global Software Center)
Page: https://ai4.com/sessions/autonomous-driving-humanoid-robot/

Let me ask you a question first: what if a robot could think like a human and drive autonomously on real roads?I will explain an Autonomous Driving Humanoid Robot, where AI and robotics are integrated to combine mobility and decision-making in one system. While these fields are evolving separately, their convergence opens a new technological paradigm.In this presentation, I will cover how sensor fusion, real-time AI, and motion control work together, along with practical application examples.Join me to explore how this technology could reshape the future of mobility and robotics.

### 11:55 AM–12:15 PM · Driving ROI and Operational Excellence in Insurance using AI
Solo Talk · Insurance · Delfino Ballroom 4103
Speakers: Douglas Benalan (CURE Insurance); Khyati Sharma (CURE Insurance)
Page: https://ai4.com/sessions/driving-roi-and-operational-excellence-in-insurance-using-ai/

What does it take to move artificial intelligence beyond experimentation and turn it into a trusted engine for operational excellence in a highly regulated insurance environment? This talk will explain how insurers can select the right use cases, redesign workflows before automating them, establish governance from the start, and define the right level of human oversight. Drawing on practical examples from the implementation completed in our Organization, will illustrate how AI is being applied to document intake and extraction, claims intake, multilingual policy servicing, bodily injury demand analysis, and subrogation workflows.Attendees will learn a practical framework for beginning the AI journey, implementing solutions successfully, earning employee trust, and measuring business value. The session will also show how to eliminate unnecessary steps and handoffs while preserving accountability, compliance, and customer protection.

### 11:55 AM–12:15 PM · Fireside Chat with Steve Preston, Goodwill
Fireside Chat · Workforce Upskilling For The AI Era · Titian Ballroom 2302
Speakers: Adam Mendler (Thirty Minute Mentors); Steve Preston (Goodwill Industries International)
Page: https://ai4.com/sessions/fireside-chat-with-steve-preston-goodwill/

As AI transforms industries, organizations, and jobs, what can individuals do to stay relevant, and what role should companies play in ensuring employees are AI literate? A recent report from Goodwill Industries International (GII) indicates that only 22 percent of Americans use AI for career training and upskilling, while 35 percent report not using AI professionally at all. Forty-nine percent of respondents said they cannot keep up with the pace at which AI is moving, and only 40% said their employers provide adequate AI training. As GII President and CEO, Steve Preston leads both the largest nonprofit workforce development provider in the country and the largest network of thrift stores. In this fireside chat, Steve will talk about the current AI gaps in the workforce, the pathways we need to create for individuals to bridge to the AI future, how Goodwill is using AI to improve operations, what companies should do to ensure a competitive workforce in the AI world, and how individuals can leverage this pivotal period to advance their own careers.

### 11:55 AM–12:45 PM · From Ideation to Enterprise Scale: How Corporates Invest, Partner, & Position for Long-Term Success [RSVP REQUIRED]
Roundtable · Roundtable · Room 310
Speakers: Ashlyn Lackey (Prudential)
Page: https://ai4.com/sessions/from-ideation-to-enterprise-scale-how-corporates-invest-partner-and-position-for/

As AI adoption accelerates, no company can build the future alone. This roundtable will examine how corporations are leveraging investments, startup partnerships, and ecosystem collaboration to create adaptable innovation strategies that can withstand rapid market and technology shifts. The discussion will cover lessons learned from evaluating AI startups, scaling successful partnerships, and building portfolios that balance immediate business needs with long-term opportunity. Attendees will leave with practical frameworks and key questions to consider when assessing new technologies and potential partners. Join fellow innovation and venture leaders to share experiences and explore what's next in corporate AI strategy.This event requires an RSVP; to attend, submit form here

### 11:55 AM–12:15 PM · From Reality to Scale: Agentic AI Operations & Platforms for Industrial Outcomes
Solo Talk · Agentic Ops & Platforms (technical) · Bellini Ballroom 2104
Speakers: Bryan Albrecht (Siemens Digital Industries); Caleb Eastman (Siemens Digital Industries)
Page: https://ai4.com/sessions/from-reality-to-scale-agentic-ai-operations-and-platforms-for-industrial-outcome/

What if AI in manufacturing moved beyond insights to continuously driving decisions and actions at scale?This session explores how agentic AI and data orchestration platforms are enabling operations that sense, decide, and act in real time—directly improving throughput, asset reliability, and efficiency. Rather than replacing existing systems, this approach unlocks value from current MES, automation, and data landscapes while creating a scalable foundation for enterprise-wide outcomes.- How do you move from siloed pilots to governed, production-scale AI operations?- How can AI safely act—not just recommend—while keeping humans in control?- Where should you start to drive immediate impact, and how do you scale?

### 11:55 AM–12:15 PM · The 90% Problem: How Universities Are Missing the Real AI Innovation Opportunity
Solo Talk · Education · Palazzo Ballroom E
Speakers: Mike Lee (University of Southern California)
Page: https://ai4.com/sessions/the-90-problem-how-universities-are-missing-the-real-ai-innovation-opportunity/

AI education is typically aimed at the 1% building models and the 9% designing strategy. The real entrepreneurial opportunity — and the real student workforce gap — is in the 90%. This session shares how USC is building a massively parallel AI curriculum infrastructure across every school and discipline, and what it means for entrepreneurship education.

### 11:55 AM–12:15 PM · The AI Factory: How Frictionless AI Governance Powers Faster, Safer AI Delivery
Solo Talk · Oversight: AI ROI · Palazzo Ballroom D
Speakers: Shone Mousseiri (Manulife); Dave Trier (ModelOp)
Page: https://ai4.com/sessions/the-ai-factory-how-frictionless-ai-governance-powers-faster-safer-ai-delivery/

Enterprises feel stuck between two AI extremes: Wild West innovation that overruns budgets, or rigid processes that strangle innovation. What if a new path turned AI into a scalable "factory" that delivers use cases to production rapidly, repeatedly, and safely?Facing a surge of AI demand across every function, Manulife built exactly that: an operating model for AI delivery they call the AI Factory. Research teams define reusable patterns, development teams adapt them to business needs, and validation runs quality control with feedback loops that continuously improve outcomes across the model lifecycle. Embedded AI governance streamlines the factory, enabling faster time-to-value, better reuse, and high-quality AI at scale.This session defines what an AI Factory really is, walks through how reusable patterns and embedded governance keep delivery both fast and safe, and shows why it's the key to scaling AI to value instead of getting stuck between those two extremes.If you're working to turn fragmented AI initiatives and processes into a governed, repeatable AI Factory that compounds into real value at scale, this is the session to join.

### 11:55 AM–12:35 PM · The AI-Native SDLC: How AI Is Rewriting Software Engineering
Solo Talk · Software Engineering · Lando Ballroom 4204
Speakers: Charles Hudson (Johnson Control Fire Solutions)
Page: https://ai4.com/sessions/the-ai-native-sdlc-how-ai-is-rewriting-software-engineering/

The software development lifecycle is being transformed faster than at any point in its history—and AI is at the center of that change. This talk explores how AI is reshaping every phase of the SDLC, from requirements and architecture through testing, security, deployment, and operations, while introducing new concepts such as Agentic AI, continuous engineering, and AI-native development. Attendees will learn how engineering organizations, Agile practices, AI adoption strategies, and business models are evolving, along with practical recommendations for leading this transformation. Whether you're an engineering leader, architect, or software professional, you'll leave with actionable insights to help your organization build software faster, smarter, and with greater business impact.

### 11:55 AM–12:15 PM · The Hater's Guide To The AI Bubble
Solo Talk · Social Impact Of AI · Palazzo Ballroom B
Speakers: Ed Zitron (EZPR)
Page: https://ai4.com/sessions/the-hater-s-guide-to-the-ai-bubble/

What if everybody was wrong about AI?Ed Zitron walks you through how the entire tech industry got diverted by generative AI, burning over a trillion dollars on a dead-end technology, the broken economics of LLMs, the questionable ROI of AI, and what you're going to want to do to avoid getting burned when the bubble pops.

### 11:55 AM–12:15 PM · The Missing Ingredient in Agentic AI Strategy: Understanding How Work Actually Happens
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Tuhin Chakraborty (Mimica)
Page: https://ai4.com/sessions/the-missing-ingredient-in-agentic-ai-strategy-understanding-how-work-actually-ha/

Organizations are under immense pressure to move quickly on AI. Leaders are told to invest aggressively, experiment broadly, and deploy agents across the enterprise. But without a clear understanding of their business processes, that urgency can lead to overbuilding, misplaced investment, and AI initiatives that fail to deliver meaningful business value.Successful AI agent deployments begin with understanding how work is actually done, as agents can only be as effective as the operational context they are given. AI-powered process intelligence provides that visibility by mapping how work is executed across teams. It enables organizations to identify where agents can have the greatest impact based on evidence rather than assumptions.In this session, Mimica Co-Founder and CEO, Tuhin Chakraborty will explore how enterprises can build a stronger foundation for agentic AI – identifying the most valuable opportunities, reducing wasted investment, and scaling initiatives that deliver measurable operational impact.Attendees will learn how to:-Identify the processes and workflows best suited for AI agents and automation-Use process intelligence to understand how work actually happens across teams, applications, and systems-Avoid overbuilding and misplaced investment by prioritizing opportunities based on operational evidence

### 11:55 AM–12:15 PM · Token Efficiency Frontier and Diffusion LLMs
Solo Talk · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Aditya Grover (Inception)
Page: https://ai4.com/sessions/token-efficiency-frontier-and-diffusion-llms/

As frontier models permeate organizations, the economics of these models beg the question: should enterprises pay for the smartest model for every workflow? In practice, AI-native enterprises make thousands of invisible calls to frontier models per session, the ones that route, compress, search, and summarize, and running a frontier model for all of them means paying frontier prices for work that doesn't need frontier intelligence. In this talk, I will show how diffusion LLMs change the token economics. At Inception, we have released Mercury, the world's first generation of frontier LLMs built using diffusion. Our latest model, Mercury 2, generates tokens in parallel to run 5x faster than comparable speed-optimized models from the top frontier labs at a fraction of the cost, at comparable quality. Available on all major platforms, Mercury 2 powers workflows at top enterprises spanning coding, search, and voice, delivering ultra-fast user experiences at a fraction of the cost of competing language models.

### 11:55 AM–12:15 PM · Voice AI Insights: Benchmarks & Customer Successes
Solo Talk · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Lex Sivakumar (Regal AI)
Page: https://ai4.com/sessions/voice-ai-insights-benchmarks-and-customer-successes/

Regal has driven over 500 million calls for hundreds of customers, across both inbound and outbound use cases. In this session, Lex Sivakumar, VP of Growth at Regal, will share what that data actually reveals about high-performing Voice AI deployments versus stalled pilots. Lex will cover benchmarks behind the calls in production, walk through real customer examples, and dig into the analysis behind those 500 million calls, including what separates the deployments driving real revenue and efficiency gains from the ones that never get past testing.

### 11:55 AM–12:05 PM · We Passed the Audit. We Failed the Agent Red Team. The Gap Killing AI Programs in Regulated Industries
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Sahil Agarwal (Enkrypt AI)
Page: https://ai4.com/sessions/we-passed-the-audit-we-failed-the-agent-red-team-the-gap-killing-ai-programs-in/

A financial services customer had every checkbox: SOC 2, model cards, an AI governance committee, the works. Their agent failed our red team in eleven minutes. The talk will unpack the widening gap between AI compliance and AI security — why the frameworks your auditors love are systematically blind to the attacks that actually matter, and what a real defensive program looks like in 2026. I will share the specific findings from three regulated-industry engagements, the questions auditors aren't asking yet, and the controls that distinguish programs that look secure from programs that are. If you're building an AI governance function, signing off on a model risk policy, or sitting across from a regulator next quarter, this is the briefing you want before that meeting.

### 12:05 PM–12:15 PM · Democratising AI for the Enterprise
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Kunal Bhasin (Fabrion)
Page: https://ai4.com/sessions/democratising-ai-for-the-enterprise/

Every enterprise AI platform today has one of two problems: either they put the LLM in charge (fast and creative, but hallucinates and can't be trusted with real enterprise actions) or they put rigid workflow tools in charge (reliable but inflexible, can't hold a conversation). Nobody has solved the governance problem: who watches the AI? Fabrion's dual-brain, full-stack AI platform answers this by separating conversational intelligence from operational execution; one brain reasons and proposes, the other validates and acts within real permissions, real data boundaries, and real human-in-the-loop controls, all connected through a full-stack knowledge-fabric of data, agents, integrations, and identity that plugs into the tools and systems your teams already use. The modern industrial enterprise is too complex for static dashboards and too critical for ungoverned AI. ‍We believe that manufacturing lines, supply chains, product structures, and compliance regimes are complex knowledge graphs, and AI that thinks in graphs and works with people inside guardrails will master them.The enterprises that will dominate the next decade aren't asking "which AI vendor should we pick", they're asking "how do we build an AI layer that adapts to our organization and people, gives us full control to accelerate our AI roadmap, and is agnostic to every vendor we'll ever pick."

### 12:20 PM–12:40 PM · Agentic Governance Framework As the Operating System of the AI-Native Economy
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Wade Moss (Sentiex Labs)
Page: https://ai4.com/sessions/agentic-governance-framework-as-the-operating-system-of-the-ai-native-economy/

What if autonomy itself became a measurable, revenue-generating asset rather than an experimental capability? The talk will illustrate how agentic capital emerges when enterprises shift to AI-native operating models and treat agents, workflows, and knowledge systems as a reusable economic stock. I will explain why raw autonomy is not enough, and how verified autonomy becomes the true unit of value—enabled by the Agentic Governance Framework (AGF), which converts autonomous actions into trusted, auditable, and monetizable output . Attendees will learn how agentic governance acts as a production system and revenue engine, expanding safe delegation, increasing reuse, and creating trust premiums in regulated environments. The talk will also break down the governance-to-revenue conversion loop and show how to operationalize AGF to scale agentic capital across the enterprise. Join this session to understand how to turn autonomy into capital—and governance into your competitive advantage.

### 12:20 PM–12:40 PM · AI in Pharma Market Access & Pricing: Status Quo and Outlook
Solo Talk · Healthcare: Life Sciences & Biotech · Titian Ballroom 2304
Speakers: Marco Rauland (Merck KGaA)
Page: https://ai4.com/sessions/ai-in-pharma-market-access-and-pricing-status-quo-and-outlook/

Pharmaceutical drug pricing has become a critical global issue, with significant implications for healthcare access, affordability, and equity. Despite its importance, AI applications in pharmaceutical drug pricing are still at a very early stage. I will talk about generative and conversational AI as well as ML applications for Market Access & Pricing, a key activity to ensure a successful drug launch. I will highlight where those applications are already applied to make better and more informed decisions and where I see challenges and areas of improvement.

### 12:20 PM–12:40 PM · Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)
Solo Talk · AI Research Summit (technical) · Venetian Ballroom A
Speakers: Liwei Jiang (University of Washington)
Page: https://ai4.com/sessions/artificial-hivemind-the-open-ended-homogeneity-of-language-models-and-beyond/

Language models (LMs) often struggle to generate diverse, human-like creative content, raising concerns about the long-term homogenization of human thought through repeated exposure to similar outputs. Yet scalable methods for evaluating LM output diversity remain limited, especially beyond narrow tasks such as random number or name generation, or beyond repeated sampling from a single model. We introduce Infinity-Chat, a large-scale dataset of 26K diverse, real-world, open-ended user queries that admit a wide range of plausible answers with no single ground truth. We introduce the first comprehensive taxonomy for characterizing the full spectrum of open-ended prompts posed to LMs, comprising 6 top-level categories (e.g., brainstorm & ideation) that further breaks down to 17 subcategories. Using Infinity-Chat, we present a large-scale study of mode collapse in LMs, revealing a pronounced Artificial Hivemind effect in open-ended generation of LMs, characterized by (1) intra-model repetition, where a single model consistently generates similar responses, and more so (2) inter-model homogeneity, where different models produce strikingly similar outputs. Infinity-Chat also includes 31,250 human annotations, across absolute ratings and pairwise preferences, with 25 independent human annotations per example. This enables studying collective and individual-specific human preferences in response to open-ended queries. Our findings show that LMs, reward models, and LM judges are less well calibrated to human ratings on model generations that elicit differing idiosyncratic annotator preferences, despite maintaining comparable overall quality. Overall, INFINITY-CHAT presents the first large-scale resource for systematically studying real-world open-ended queries to LMs, revealing critical insights to guide future research for mitigating long-term AI safety risks posed by the Artificial Hivemind.

### 12:20 PM–12:40 PM · Beyond the Platitude, Operationalizing Responsible AI Through Governance Infrastructure
Solo Talk · Oversight: AI Explainability Governance & Model Risk · Lando Ballroom 4203
Speakers: Mae-Beth Magno (Boeing)
Page: https://ai4.com/sessions/beyond-the-platitude-operationalizing-responsible-ai-through-governance-infrastr/

Every organization claims a commitment to Responsible AI but in a regulatory vacuum, that commitment rarely gets tested. This session moves past principles into practice: a five-pillar governance framework and five-stage assurance lifecycle that make AI accountability, security, and compliance testable and auditable, not aspirational. Walk away with three concrete questions to bring back to your own organization on Monday morning.

### 12:20 PM–12:30 PM · Fluence GPU Cluster Auctions: Solving the Pricing Problem
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Justin Jose (Fluence)
Page: https://ai4.com/sessions/fluence-gpu-cluster-auctions-solving-the-pricing-problem/

Reserved GPU capacity has become one of the biggest bottlenecks for AI teams, yet accessing it still relies on slow, opaque negotiations. This session examines why the market needs a better pricing mechanism and how Fluence GPU Cluster Auctions introduce transparent price discovery for reserved AI infrastructure. We’ll explore how competitive bidding benefits both buyers and providers, simplifies access to reserved GPU clusters, and creates a more efficient market for AI compute. Join this session to learn how auction-based infrastructure sourcing can help solve one of AI’s most pressing challenges.

### 12:20 PM–12:40 PM · From Demo to Millions: The Observability Loop Behind Lenskart's Voice, Video & AR Agents
Solo Talk · Agentic Ops & Platforms (technical) · Bellini Ballroom 2104
Speakers: Tusheet Shrivastava (GeoIQ - A Lenskart Company)
Page: https://ai4.com/sessions/from-demo-to-millions-the-observability-loop-behind-lenskart-s-voice-video-and-a/

Building a compelling AI demo is easy; making it reliable for millions of customers is the real challenge. I will share how we built an observability loop at Lenskart to capture real-world interactions, uncover failures, and continuously improve our voice, video, and AR agents. The talk will explore how we monitor latency, conversation quality, visual understanding, product recommendations, and virtual try-on as parts of one connected customer experience. Attendees will learn how we combine traces, automated evaluations, human feedback, and production metrics to detect issues that conventional dashboards miss. Join this session for a practical blueprint for taking multimodal agents from promising demos to dependable production systems.

### 12:20 PM–12:40 PM · How AI Empowers a 4-Person Nonprofit to Perform Like a Team of 40
Solo Talk · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Gary Oppenheimer (AmpleHarvest.org, Inc.)
Page: https://ai4.com/sessions/how-ai-empowers-a-4-person-nonprofit-to-perform-like-a-team-of-40/

How can a team of four use AI to scale nationwide impact like an organization ten times its size?For 17 years, I have led AmpleHarvest.org, an award-winning nonprofit fighting hunger and food waste by connecting America’s 62 million gardeners with more than 8,500 food pantries in 5,700 communities across all 50 states, with a staff of just four.For our first 14 years, we operated in a world where today’s AI tools were not available to any of us yet in the past three years, AI has come to touch nearly every part of our work, from compressing weeks of grant writing into an hour and identifying overlooked food-insecure communities to mining tens of thousands of rejection emails for re-engagement opportunities, detecting fraud, preparing board meetings, and creating multilingual outreach. I will share more than 30 practical AI applications we already use to help a small nonprofit perform like an organization ten times its size, with no data team, no large budget, and no hype. Attendees will leave with concrete ideas and a clear starting point they can put to work in their own organizations on Monday morning.This is not a tech talk; it is a solutions talk.

### 12:20 PM–12:40 PM · How to Address Security and Governance Challenges for Coding Agents
Solo Talk · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Sheng Liang (Obot AI)
Page: https://ai4.com/sessions/how-to-address-security-and-governance-challenges-for-coding-agents/

The widespread adoption of coding agents such as Claude Code and Codex has raised significant security and governance concerns for enterprise IT organizations. These concerns are becoming more urgent as coding agents expand beyond software developers and are increasingly used by business users. In this talk, we will explain how IT and security teams can establish identity and access controls for coding agents, manage their access to tools, MCP servers, and AI skills, gain complete visibility into agent activities, maintain audit trails, and govern usage and costs.

### 12:20 PM–12:40 PM · Insurance Industry's AI Value Problem: The Reality of Unit Economics, Reliability and Auditability
Solo Talk · Insurance · Delfino Ballroom 4103
Speakers: Sai Maddineni (FM Global)
Page: https://ai4.com/sessions/insurance-industry-s-ai-value-problem-the-reality-of-unit-economics-reliability/

What happens when 'Agentic Hype' meets 'Insurance Reality'? I will explain why the “Agentic Everything” mindset breaks down in insurance where reliability, cost effectiveness and compliance matter. Attendees will leave with an instantly applicable value-based framework to adopt AI at scale and a strategic lens to think beyond operational efficiency. Join the session to set yourself apart in the AI journey - go from momentum to meaningful impact.

### 12:20 PM–12:40 PM · Powering Agents with Search: Creating Interactive Vector Pipelines with SQL
Solo Talk · AI Agents (technical) · Venetian Ballroom E
Speakers: Seth Wiesman (Materialize)
Page: https://ai4.com/sessions/powering-agents-with-search-creating-interactive-vector-pipelines-with-sql/

How do you keep search indexes and vector databases fresh enough for an agent to act on?Search has become the predominant way agents see the world. But keeping vectors and attributes up to date is complex, forcing teams to choose between stale documents, expensive batch updates, or complex pipelines.This talk will show how to architect a search pipeline in SQL that keeps your search index up to date and trustworthy enough for agents to rely upon. You'll learn how to transform your operational data into documents and semantic objects, patch your search index with only changed attributes and embeddings, and enrich results with fresh context to give agents the full picture.Attend if you're deploying AI agents to production and want to give them fresher, more complete context, and tighten their read-act-react loop.

### 12:20 PM–12:40 PM · Presentation by John Thompson, University of Michigan
Solo Talk · Beginner Start Here · Palazzo Ballroom L
Speakers: John Thompson (University of Michigan)
Page: https://ai4.com/sessions/presentation-by-john-thompson-university-of-michigan/

GenAI technology is not showing any signs of slowing down, in fact, the entire area seems to be accelerating. Innovations are being developed and delivered at impressive speeds. Enterprises and developers alike are trying to make decisions on how to develop tools, technologies, applications, and solutions. Data professionals are seeking to understand how to leverage these tools to convert data into information, information in knowledge and knowledge into wisdom. In these past 3 years, we have gone from using approximately 1% of the world’s data to at least 100%. That change alone has been mind bending. GenAI and AI in general hold great promise to deliver value and insights leveraging more than 100% of the world’s existing data. In this session we will discuss the short, but dynamic world of GenAI, and project forward what we will see in the next 3 to 5 years and then in the next 10 to 30 years.

### 12:20 PM–12:40 PM · Presentation by Sysdig:  Headless Security: Cloud Defense for an AI-Speed World
Solo Talk · Cybersecurity · Marcello Ballroom 4404
Speakers: Eric Carter (Sysdig, Inc.)
Page: https://ai4.com/sessions/presentation-by-sysdig-headless-security-cloud-defense-for-an-ai-speed-world/

What if the biggest obstacle to modern cloud defense isn't your tooling or your team, it's the screen in between?As adversaries automate reconnaissance and exploitation with AI, defenders are still context-switching between consoles, manually navigating risk at human speed; a bottleneck the industry built for itself.This talk makes the case for headless security: a model where the control loop from discovery and prioritization to remediation lives inside AI coding agents, not a traditional UI — with security capabilities exposed as APIs, guided by agent skills, and accessed via MCP so analysts can automate and personalize workflows at scale. I'll show how this shift moves the practitioner's role from operator to governor, and what organizations need to do now to keep pace with AI-powered threats.Join this session to see what the next generation of cloud defense looks like in practice — and leave with a clear picture of where your team should be heading.

### 12:20 PM–12:40 PM · Solving Product Matching with AI: Query Understanding, Hybrid Retrieval, and Multi-Stage Ranking
Solo Talk · Recommendation & Ranking Systems (technical) · Bellini Ballroom 2102
Speakers: Sidharth Thapar (Staples Inc.)
Page: https://ai4.com/sessions/solving-product-matching-with-ai-query-understanding-hybrid-retrieval-and-multi/

How can you achieve exact product matches when generic semantic search falls short? I will explain why enterprise needs, like brand-aware substitutions and precise unit handling, require AI that goes beyond simple vector similarity. This talk will illustrate a multi-stage design combining hybrid retrieval, machine-learned ranking, and LLM reasoning for high-precision results. You will learn how to implement human-in-the-loop workflows to refine models and handle complex, ambiguous queries effectively. Join me to discover how these scalable AI pipelines solve nuanced search problems through real-world enterprise implementation.

### 12:20 PM–12:40 PM · Stop Wasting GPUs: Building a Global Compute Cache for AI Inference
Solo Talk · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Lena Hall (Akamai); Sheilah Kirui (Akamai)
Page: https://ai4.com/sessions/stop-wasting-gpus-building-a-global-compute-cache-for-ai-inference/

With the explosion of AI models, keeping every model constantly loaded across every global region is no longer viable: it leaves expensive GPUs sitting idle, plummets utilization, and skyrockets costs. Conversely, centralizing your inference infrastructure destroys the user experience by introducing massive latency spikes. How do you architect a globally distributed AI inference platform that balances low latency with high GPU efficiency?This session explores a modern approach to solving this dilemma: treating inference like a global compute cache rather than a static system.We will break down the architectural patterns needed to make this possible, focusing on dynamic model caching, intelligent request routing, and distributed global infrastructure.

### 12:20 PM–12:40 PM · The Innovative Intersection of the Human Brain, Body, and Technology: Biometric Data Research
Solo Talk · Education · Palazzo Ballroom E
Speakers: Lisa Dieker (University of Kansas)
Page: https://ai4.com/sessions/the-innovative-intersection-of-the-human-brain-body-and-technology-biometric-dat/

What happens when the human brain, body, and AI collide in educational settings? This talk explores how emerging technologies from biometric dashboards to socially assistive robots can support student learning and educator preparation. This project will provide insights from several research-based projects highlighting how AI can enhance learning outcomes in any discipline. Attendees will learn how simulation, emotion recognition, and neurophysiological and biometric data can be integrated into AI multimodal data to personalize instruction while keeping the human at the center. The talk will illustrate how humor, empathy, and innovation, integrated with AI and humans, can reshape the future of learning. Join this session to laugh, learn, and leave inspired to integrate body, heart, and technology. Leave with new ways of thinking about integrating mind and body into your AI systems.

### 12:20 PM–12:40 PM · The Semantic ID Layer : Rebuilding RecSys
Solo Talk · Generative AI (technical) · Veronese Ballroom 2504
Speakers: Aditya Gautam (Meta)
Page: https://ai4.com/sessions/the-semantic-id-layer-rebuilding-recsys/

Item embeddings are hitting real limits: embedding tables that dominate the parameter budget, brittle cold start, and representations that force models to memorize instead of generalize. This talk traces the shift to Semantic IDs — short, hierarchical sequences of discrete codes derived from content and learned with residual quantization.This talk will briefly talk about how they're built, then make the case that the interesting move isn't tokenizing items, it's building two trees: one over content, one over users, sharing a vocabulary. From that foundation, seven retrieval sources fall out as tree walks — user-to-user neighborhoods, history-prefix expansion, a tunable exploration dial, prefix-frequency interest profiles, streaming trend detection, cold-start substitution, and prefix-level policy blocklists. Downstream, the same codes serve as ranking features and as generation targets. The talk concludes with a pragmatic production architecture and an honest assessment of quantization loss, code collapse, semantic–behavior misalignment, identifier churn, privacy, and constrained-decoding latency. Semantic IDs do not eliminate dense embeddings; they turn embedding geometry into reusable structure.

### 12:20 PM–12:40 PM · The Software Decision Beyond Build vs. Buy
Solo Talk · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Olav Laudy (Tavant)
Page: https://ai4.com/sessions/the-software-decision-beyond-build-vs-buy/

What if the most consequential AI decision is not which model, tool, or vendor you select, but which software path you commit your organization to for years to come? In my work with enterprise technology leaders, I see organizations navigating a growing range of options—from buying SaaS and extending established platforms to adopting AI-native or low-code platforms and developing custom solutions on the cloud. Each path can be the right choice, but each carries tradeoffs that are often underestimated, including customization pressure, escalating ecosystem costs, governance challenges, architectural constraints, engineering continuity, and vendor lock-in. In this session, I will examine where each approach works best, the common failure modes leaders should anticipate, and how AI coding agents are changing the economics and speed of custom development without replacing the need for strong architecture, domain expertise, governance, and long-term ownership. Attendees will also learn how a hybrid approach—combining an open technology foundation, modular domain products, and AI-powered development tools—can deliver the acceleration of a platform while preserving flexibility, architectural control, and a path away from permanent vendor dependency. Join me for a practical, candid discussion designed to help CIOs, CAIOs, and technology leaders make the software decision that will shape how their organizations build, operate, and evolve.

### 12:20 PM–12:40 PM · The Training Fallacy: “How To” Sessions Won’t Solve Your AI Adoption Problem
Solo Talk · Workforce Upskilling For The AI Era · Titian Ballroom 2302
Speakers: Markus Mckay-Fleisch (Smartsheet)
Page: https://ai4.com/sessions/the-training-fallacy-how-to-sessions-won-t-solve-your-ai-adoption-problem/

If you think the solution to lagging AI adoption is more training sessions, you're unlikely to move the needle. The real shift of the AI era isn't teaching people to use the tools — it's about rethinking what enablement looks like in today's environment. In this session I’ll explore how the best AI tools are the ones that don't need any manuals. The interface to software has become language: you describe the outcome you want, and the system assembles the steps. I’ll show what that actually looks like — from spinning up a dashboard just by describing it, to helping you understand how AI can work invisibly in the background to enable users. In this era, the approach to AI upskilling is evolving — and I’ll touch on what we think is coming next.

### 12:20 PM–12:40 PM · Tokens, Tools, and Trust: How Agent Gateways Keep Your AI ROI from Going Rogue
Solo Talk · Oversight: AI ROI · Palazzo Ballroom D
Speakers: Tuhina Goel (Nutanix)
Page: https://ai4.com/sessions/tokens-tools-and-trust-how-agent-gateways-keep-your-ai-roi-from-going-rogue/

As organizations scale agentic AI applications, many struggle to move past the pilot phase due to unpredictable token costs and governance concerns. This session explores the critical role of token management in establishing precise cost controls and resource oversight, alongside the implementation of an agent gateway to secure and monitor AI agent, tool, and data interactions. Learn how these solutions enable the deployment of sophisticated workflows without compromising enterprise safety or trust. By unifying security, cost oversight, and scalability, organizations can shift from "AI-enabled" to "AI-efficient" so that every token spent translates into measurable business value and sustainable enterprise AI ROI.

### 12:20 PM–12:40 PM · When Intelligence Becomes Cheap: The Economic Consequences of Transformative AI
Solo Talk · Social Impact Of AI · Palazzo Ballroom B
Speakers: Anton Korinek (Anthropic | University of Virginia)
Page: https://ai4.com/sessions/when-intelligence-becomes-cheap-the-economic-consequences-of-transformative-ai/

What happens to the economy when intelligence itself becomes cheap and abundant? The compute powering frontier AI is growing more than fourfold per year, and a distinct "AI economy" is already emerging and expanding at rates that dwarf anything in economic history. Drawing on my recent research, I will present new measurements of this AI economy and explain the feedback loops that could drive an economic take-off. The talk will then explore what this means for the questions every leader should be asking: What happens to jobs and wages when AI can perform most cognitive tasks? Join me for a data-driven tour of the most consequential economic transformation of our lifetimes — and what we can do to steer it toward broadly shared prosperity.

### 12:20 PM–12:40 PM · Where AI Belongs in Marketing: Human Judgment, Real Oversight
Solo Talk · Marketing & Growth · Marcello Ballroom 4403
Speakers: Taryn Crouthers (Big Spaceship); Andrea Gilman (Early Warning)
Page: https://ai4.com/sessions/where-ai-belongs-in-marketing-human-judgment-real-oversight/

Most conversations about AI in marketing start with capability: what it can do, how it can scale the work, and how it can expand capacity. This conversation starts with judgment: where AI sharpens the work, where it introduces risk, and where people have to lead.Join Andrea Gilman, CMO of Early Warning, and Taryn Crouthers, CEO of Big Spaceship, for a conversation grounded in real decisions from their ongoing partnership. They’ll discuss how AI helped shape an ambitious national campaign from concept to production — giving teams a clearer view of creative ideas before they were filmed, organizing and flagging brand materials for human review and supporting brand consistency from strategy to execution.The discussion will also look ahead at a broader shift in consumer discovery: consumers are increasingly moving from traditional search engines to AI-powered platforms to research, compare and make sense of information. For marketers, that raises new challenges. Throughout, one theme holds: the tools will keep advancing, but the most important work in marketing still depends on human judgment, creativity, accountability, and trust.

### 12:20 PM–12:40 PM · Your Data Isn’t a Moat. Yet.: The Vertical AI Architecture for Decision-grade Production
Solo Talk · Enterprise Unlocks: RAG & Proprietary Data · Titian Ballroom 2306
Speakers: Akash Sharma (Enverus)
Page: https://ai4.com/sessions/your-data-isn-t-a-moat-yet-the-vertical-ai-architecture-for-decision-grade-produ/

Every enterprise has proprietary data. Far fewer have an AI system they’d trust to make a decision that carries real consequence. RAG can retrieve the right context, but production takes more than retrieval: governed data with lineage, domain-specific evaluation, workflow integration, and execution a human can override.Akash Sharma draws on Enverus’ work taking AI to production in energy, one of the hardest domains there is, where a wrong answer is a misallocated capital budget, a failed compliance filing, or a safety incident. If a system earns trust there, the architecture behind it holds anywhere. He lays out that architecture, the Vertical AI blueprint for turning proprietary data into decision-grade systems, then names why promising pilots stall, what production-ready systems do differently, and how to find the weakest layer in your own program. You’ll leave with a diagnostic you can run on your own architecture on Monday, and a clear read on what to build next.

### 12:30 PM–12:40 PM · Building Autonomous Growth Agents: Lessons from an ex-DeepMind GenAI Lead
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Praneet Dutta (usepomo.ai); Paige Liao (MachFlow AI (POMO))
Page: https://ai4.com/sessions/building-autonomous-growth-agents-lessons-from-an-ex-deepmind-genai-lead/

Marketing AI has mostly stopped at copilots: useful for isolated tasks, but weak at turning insight into action. In this talk, Praneet Dutta, founder of Pomo and former DeepMind GenAI research tech lead, will show why the next leap is autonomous growth systems: AI agents that can research markets, generate strategy, create campaigns, launch experiments, and learn from real-world feedback. Drawing from his work on foundation models at DeepMind and now building Pomo, he will walk through the architecture behind an agentic marketing system, including creative generation, decision intelligence, feedback loops, and human-in-the-loop controls. Attendees will learn what it actually takes to move from AI demos to production systems that drive measurable growth. This talk is for founders, operators, and AI practitioners who want a practical view of where autonomous marketing is going and how to build it safely.

### 12:30 PM–2:00 PM · Lunch
Breaks & Meals · Halls B&C
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDQwMDQwMQ==

### 2:00 PM–4:10 PM · Agentic Live Demos
Agentic Live Demo · Agentic Live Demos · Halls B&C
Page: https://ai4.com/sessions/agentic-live-demos/

Agentic AI has everybody talking—come see what's next.Experience AI in action at the Agentic Live Demo Stage, where innovators showcase real-world agentic AI through live demonstrations. Discover how AI agents are transforming workflows, solving complex challenges, and creating new possibilities across industries. The demos will run each afternoon in the Exhibit Hall.After the demos, continue the conversation by visiting exhibitors’ booths for deeper discussions, hands-on experiences, and insights into how the latest agentic technologies can help drive your organization forward.

### 2:00 PM–2:15 PM · We Made AI Easy to Build, We Didn’t Make it Safe to Run.  New Threats, New Attacks, Unprotected Agents.
Agentic Live Demo · Agentic Live Demos · Halls B&C
Page: https://ai4.com/sessions/we-made-ai-easy-to-build-we-didn-t-make-it-safe-to-run-new-threats-new-attacks-u/

Hook: We Made AI Easy to Build, We Didn’t Make it Safe to Run The following will be covered:A new attack surface with new attacks now exists AI tools make it easier to attack this and existing digital attack surfaces Rate of change makes it amazingly hard for organizations to keep up Discuss a series of Attacks and how they are executed Discuss how to overlay and build-in security autonomously in this AI Era

### 2:10 PM–2:30 PM · [>_] Agents in the Basement
Solo Talk · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Sergio Coronado (NATO Support and Procurement Agency)
Page: https://ai4.com/sessions/agents-in-the-basement/

Anyone with a computer can put AI agents to work. This talk shares real experience building supervised agentic workflows for sensitive research and forecasting using open-source tools, local models, and public sources. Covers architecture, privacy routing, harness design, evaluation loops, and keeping human judgement visible when machines do the heavy lifting.

### 2:10 PM–2:50 PM · Agents in the Wild: What It Takes to Build Reliable Agentic AI
Solo Talk · Generative AI (technical) · Veronese Ballroom 2504
Speakers: Michael Giannangeli (Amazon)
Page: https://ai4.com/sessions/agents-in-the-wild-what-it-takes-to-build-reliable-agentic-ai/

In this talk, Michael Giannangeli shares lessons from developing agentic capabilities for Amazon’s Nova foundation models. Drawing on real-world deployments and conversations with customers building complex agent workflows, he explores the challenges that emerge when moving from single-turn models to autonomous systems. Topics include how to evaluate agents beyond benchmarks, why reliability is the gating factor for adoption, the role of reinforcement learning “gyms” and simulated environments, and architectural patterns for balancing autonomy with control in high-stakes applications.

### 2:10 PM–2:30 PM · Architecting Intelligence: How Voltava is Redesigning the Global Manufacturing Blueprint
Fireside Chat · Manufacturing · Titian Ballroom 2304
Speakers: Greggory Garrett (CGS Advisors, LLC); Bruce Smith (Voltava); Tom Swartz (Voltava)
Page: https://ai4.com/sessions/architecting-intelligence-how-voltava-is-redesigning-the-global-manufacturing-bl/

How does a Tier 1 manufacturing giant scale its global footprint when the old rules of productivity no longer apply? This fireside chat features the CEO and CTO of Voltava as they discuss their transition from a legacy manufacturing mindset to a modern Intelligence Strategy. We will explore how the fusion of human strategy and machine execution is helping them earn new work and transform their operations across the globe. The fireside chat will highlight the essential partnership between business and technology leaders and delve into Voltava’s unique bi-annual AI conferences that drive internal innovation. Attendees will see theory come to life through a real-world case study of organizational plasticity. Join this session to learn how to lead a firm where human high-order cognition and machine intelligence work in concert to create exponential value.

### 2:10 PM–2:20 PM · Beneath the Surface: AI Powered Robotics for Sustainable Deep-Sea Operations
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Arjun Ramachandran (MOBY Robotics)
Page: https://ai4.com/sessions/beneath-the-surface-ai-powered-robotics-for-sustainable-deep-sea-operations/

The deep ocean is vital to a sustainable future, yet it remains a technical abyss: no GPS, choked communications, and zero visibility. To operate in this extreme, high-pressure frontier, MOBY Robotics is developing autonomous systems, including seafloor crawlers, autonomous underwater vehicles (AUVs), and remotely operated vehicles (ROVs), to enable environmentally responsible access to deep-ocean resources.This talk presents how MOBY Robotics integrates modern AI, advanced robotics, and rugged embedded systems to enable real-time perception, localization, and manipulation on the seafloor. It discusses the engineering behind robust subsea platforms, the deployment of lightweight onboard models, and the unique challenges of running edge-AI autonomy in low-visibility, high-pressure conditions, alongside the map-centric intelligence layer that turns raw dive data into actionable ocean insight.The talk will show how advances in machine learning and robotic autonomy are shifting the paradigm and unlocking new capabilities for high-fidelity exploration, sustainable resource collection, and large-scale subsea operations.

### 2:10 PM–2:30 PM · Building Self-Evaluating OpenAI Agents for Profiles & Documents
Solo Talk · Software Engineering · Lando Ballroom 4204
Speakers: Vijay Panwar (Panasonic Avionics Corporation)
Page: https://ai4.com/sessions/building-self-evaluating-openai-agents-for-profiles-and-documents/

The talk will demonstrate how an OpenAI-powered AI agent can read PDFs and enterprise documents and answer user questions with verifiable, source-grounded accuracy. As organizations struggle to extract insights from large volumes of legal, financial, and recruitment documents, this session will address the practical challenges of hallucinations, scalability, and trust in document-centric AI systems. The talk will include production-grade design patterns such as document ingestion pipelines, chunking and embeddings, retrieval-augmented generation (RAG), and response constraints using an application-level OpenAI API key. Attendees will learn how to implement evaluation controls, grounding strategies, and failure handling to ensure reliable, auditable answers in enterprise environments. This session is designed for practitioners who want to move beyond demos and deploy responsible, scalable document Q&A agents that deliver measurable business value.

### 2:10 PM–2:50 PM · Fast, Safe, and Cheap:  Making Good AI Design Decisions
Solo Talk · Evaluation Observability & Interpretability (technical) · Bellini Ballroom 2102
Speakers: Udit Luthur (Cox Automotive); Jodi Blomberg (Cox Automotive)
Page: https://ai4.com/sessions/fast-safe-and-cheap-making-good-ai-design-decisions/

The model landscape has exploded — LLMs, SLMs, fine-tuned models, edge inference, classical ML — and the pressure to ship means most teams default to whatever they are familiar with. But fit-for-purpose AI isn't just about picking the fastest or cheapest option. Observability and explainability are architectural requirements, not afterthoughts, and treating them that way changes every decision downstream.Fast, cheap, and safe don't have to be tradeoffs- this talk walks through decision frameworks to get all three.

### 2:10 PM–2:30 PM · Fireside Chat with Subra Kumaraswamy, Visa - Cyber Resilience in the Frontier AI Era
Fireside Chat · Cybersecurity · Palazzo Ballroom D
Speakers: Jason Abbruzzese (NBC News); Subra Kumaraswamy (Visa)
Page: https://ai4.com/sessions/fireside-chat-with-subra-kumaraswamy-visa-cyber-resilience-in-the-frontier-ai-er/

As AI transforms business at unprecedented speed, it is also reshaping the cyber threat landscape. Join Visa’s Chief Information Security Officer, Subra Kumaraswamy, for an engaging conversation on how organizations can strengthen resilience in the era of Frontier AI. Drawing on insights from Visa’s Vulnerability Agentic Harness and real-world lessons from Project Glasswing, this session will explore emerging risks across AI systems and supply chains, the growing importance of "mean time to adapt," and how leading organizations can move beyond defense to build true cyber resilience. Attendees will leave with practical insights on navigating an increasingly dynamic threat environment while safely unlocking the opportunities of AI.

### 2:10 PM–2:30 PM · From Scattered Signals to Qualified Pipeline
Solo Talk · Marketing & Growth · Marcello Ballroom 4403
Speakers: Sirish Davuluri (Cognizant); Sushant Warikoo (Cognizant)
Page: https://ai4.com/sessions/from-scattered-signals-to-qualified-pipeline/

Every company is sitting on pipeline it can't see. The signals that would surface it — a renewal at risk in a finance record, a redline in a legal contract — are scattered across systems that rarely talk to each other, most of them beyond the CRM. Individually they're easy to miss; together they point to a deal. But no seller has the time to connect them, so the pipeline stays buried.In this session, Cognizant shares its own "Customer Zero" story: how agents working across sales, delivery, finance, and legal read these signals as they appear and turn them into qualified pipeline the business wasn't tracking —in new opportunities, in weeks rather than quarters. You'll leave with a practical model for turning the signals you already own into self-sourced demand: how to instrument the enterprise, route the right signal to the right seller, and act before the window closes.

### 2:10 PM–2:30 PM · Governing AI in Healthcare
Fireside Chat · Oversight: AI Explainability Governance & Model Risk · Lando Ballroom 4203
Speakers: Ashley Casovan (IAPP); Lara Liss (GE HealthCare)
Page: https://ai4.com/sessions/governing-ai-in-healthcare/

The opportunities to improve healthcare with advance AI are immense. Leading healthcare companies have found that they are able to accelerate their adoption of AI by ensuring these systems are safe and well managed. Join this expert discussion to learn how AI governance is being implemented in GE HealthCare practices.

### 2:10 PM–2:55 PM · High-Value Use Cases You Can Deploy Quickly
Panel Session · Beginner Start Here · Palazzo Ballroom L
Speakers: Youssef Idelcaid (Gilead); Aman Tripathi (Hyatt Hotels Corporation); Fawzi Benmessaoud (Indiana University
Timeless Agora Institute); Jessica Davis (USA TODAY Co., Inc.); Keith Gutfreund (Kirk Tech Solutions)
Page: https://ai4.com/sessions/high-value-use-cases-you-can-deploy-quickly/

For many organizations, the fastest way to build momentum with AI is to start with clear, proven use cases that drive measurable value. This panel will take a deep dive into the most common entry points enterprises are using today—such as customer service automation, fraud detection, predictive analytics, document processing, and personalization. Panelists will share real-world examples of how these solutions are being deployed, the technologies that power them, and the results they deliver. The discussion will also highlight strategies for getting started quickly with pre-trained models, cloud-based AI services, and low-code tools—while avoiding common beginner pitfalls. Attendees will leave with a grounded understanding of which AI use cases deliver the most impact early, and how to bring them to life in their own organizations.

### 2:10 PM–2:30 PM · How We Moved 700 Employees from AI Experimentation to Measurable Value
Solo Talk · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Stian Kirkeberg (Norges Bank Investment Management)
Page: https://ai4.com/sessions/how-we-moved-700-employees-from-ai-experimentation-to-measurable-value/

Most organizations struggle to move AI from pilot projects to production. At NBIM, we transitioned 700+ employees across four global offices from experimentation to measurable impact—achieving 20%+ efficiency gains and deploying production systems.I'll share the three-phase transformation strategy that worked: democratization, organizational adoption, and strategic execution. You'll learn how we built 71 AI Ambassadors to create organizational muscle memory, moved from widespread experimentation to production systems, and maintained security standards required for a $1.7 trillion sovereign wealth fund.Key takeaways: practical frameworks for scaling AI adoption, measuring real ROI, and building stakeholder trust in regulated environments.If you're leading AI transformation at scale, this session will give you concrete strategies to move your organization from experimentation to value delivery.

### 2:10 PM–2:30 PM · Inside Houston Methodist Hospital: Deploying AI in Practice
Fireside Chat · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Joshua Robert (Journal for Artificial Intelligence in Medicine (JAIM)); Roberta Schwartz (Houston Methodist Hospital)
Page: https://ai4.com/sessions/inside-houston-methodist-hospital-deploying-ai-in-practice/

Many health systems have moved past experimentation. The challenge now is operationalizing AI responsibly at scale. This fireside chat presents a real case study of how Houston Methodist Hospital evaluates, prioritizes, and deploys artificial intelligence across clinical and operational environments.We examine where AI has delivered measurable value, where implementation stalled, and the organizational and technical barriers encountered along the way. The conversation also covers governance, clinician adoption, and how leadership plans to expand AI use safely over time.Attendees will leave with practical insights into what enables enterprise AI deployment and how leaders can approach their next AI initiative.

### 2:10 PM–2:30 PM · Latchkey AI Agents: Tales of Unsupervised Decisions and the Case for a New Security Control Plane Strategy
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Troy Leach (Cloud Security Alliance)
Page: https://ai4.com/sessions/latchkey-ai-agents-tales-of-unsupervised-decisions-and-the-case-for-a-new-securi/

We’ve entered an era where autonomous agents make decisions, execute transactions, and write code—often with limited oversight. Like latchkey kids of a prior generation, they’re resourceful but prone to poor judgment and unintended risks. This talk explores what it means to act as a guardian of autonomy, introducing the need for an agentic control plane to govern identity, authorization, and behavior across non-human actors. As Mythos and other models demonstrate, time-to-exploitation has collapsed, and defenders must now operate at machine speed. Drawing on examples from agentic commerce and platforms like OpenClaw and Codex, this session outlines strategies to manage emerging threats and establish systematic trust as foundational rules. Attendees will learn how to manage risk and regulatory hurdles with free and open resources for adoption of autonomous agents.

### 2:10 PM–2:50 PM · Leading the AI University: A Presidents Panel
Fireside Chat · Education · Palazzo Ballroom E
Speakers: David Wilson (Morgan State University); Karen Ivy (University of Arizona Global Campus); Melva Wallace (Huston-Tillotson University); Karrie Dixon (North Carolina Central University)
Page: https://ai4.com/sessions/leading-the-ai-university-a-presidents-panel/

### 2:10 PM–2:30 PM · Medical Imaging AI for rare cancer with minimal data
Solo Talk · Healthcare Care Providers · Marcello Ballroom 4404
Speakers: Todd Minnigh (Chief of Medical Imaging Innovation - Leidos.
University of Pittsburgh, Steering Committee - Computational Pathology and Ai Center of Excellence (CPACE)
MediConsult Capital, Advisory board)
Page: https://ai4.com/sessions/medical-imaging-ai-for-rare-cancer-with-minimal-data/

How can we build AI that will help identify cancers so rare that most pathologists cannot diagnose with confidence? 25% of all cancer instances are of a 'rare' type by the National Cancer Institute of NIH. For many of these the data to build AI is extremely limited. Creation is a serious challenge, then validation for FDA 510k is an even bigger hurtle. Imagine if your medical team could diagnose something that they have never seen before with enough directional confidence to take the next step. This talk will explore strategies and tactics for gathering data, creating AI, and methods to get it into clinical hands. We will touch on what drives Innovation in teams and explore the foundation of innovation in business and products. With 7 patents in medical imaging and a few more pending, steering committee position with University of Pittsburgh Computational Pathology and Ai Center of excellence, and 30+ years of experience in medical imaging and Ai, I hope to give you the inspiration to find the next advancement as you work here on the cutting edge of Ai in healthcare.

### 2:10 PM–2:30 PM · Networked Intelligence: Scaling Human-AI Networks with Active Context Graphs
Solo Talk · AI Research Summit (technical) · Venetian Ballroom A
Speakers: Sutanay Choudhury (Pacific Northwest National Laboratory)
Page: https://ai4.com/sessions/networked-intelligence-scaling-human-ai-networks-with-active-context-graphs/

The current paradigm of AI scaling relying on massive context windows and long-horizon agentic execution is rapidly approaching a plateau. Challenging scientific problems are rarely solved by one isolated reasoner; they are solved by distributed teams carrying different priors, tacit knowledge, and domain-trained intuitions. The open problem is therefore not just how to scale individual models, but how to cultivate networked intelligence: scaling the connections between humans and AI systems so that a hypothesis produced in one context reaches the exact person, agent, instrument, or robot that can act on it. The talk will introduce Mycelium, a runtime architecture using an Active Context Graph to connect isolated users, agents, and instruments into a synchronized network. I will detail empirical success stories showing how active context propagation fundamentally altered the trajectory of a live scientific campaign. Join this session to see a direct contrast between networked execution and standalone autonomous models, providing actionable evidence of a completely new axis for AI scaling.

### 2:10 PM–3:00 PM · Roundtable: The Second Phase of AI Adoption: AI Cybersecurity Roadmap [RSVP REQUIRED]
Roundtable · Roundtable · Room 305
Speakers: Tolgay Kizilelma (Dominican University of California)
Page: https://ai4.com/sessions/roundtable-the-second-phase-of-ai-adoption-ai-cybersecurity-roadmap-rsvp-require/

This event requires an RSVP; to attend, submit form hereWith most organizations still in the early stages of AI and GenAI adoption, efforts are often centered on learning and low-risk experimentation. This roundtable explores the transition into the next phase-where cybersecurity, governance, and value realization become critical. Participants will discuss how to evolve organizational AI roadmaps, address emerging cyber and operational risks, and align AI initiatives with business objectives while ensuring resilience, trust, and long-term impact.

### 2:10 PM–2:30 PM · Simplifying Robotics with AI Agents
Solo Talk · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Julie Mitchell (Amazon Robotics)
Page: https://ai4.com/sessions/simplifying-robotics-with-ai-agents/

What if the most complex robotic systems in the world could tell you exactly what's wrong, and how to fix it, before you even ask? Amazon Robotics operates one of the largest fleets of mobile robots on the planet, and as these systems grow in scale and sophistication, so does the challenge of keeping them usable, diagnosable, and maintainable. We're leveraging AI to cut through that complexity, turning mountains of operational data into intuitive insights that empower engineers and technicians at every level. Attendees will learn how Amazon Robotics is applying AI to transform the operator experience, from natural-language diagnostics that surface root causes in seconds, to intelligent maintenance recommendations that reduce downtime and cognitive load. You'll walk away with practical patterns for making complex automated systems more accessible to the humans who run them. Join us to see how AI isn't replacing the people behind robotics, it's giving them superpowers.

### 2:10 PM–2:55 PM · Smarter, Safer Finance — Embedding AI in Fintech & Payments
Panel Session · Software: Fintech & Payments · Titian Ballroom 2306
Speakers: Sheela Ursal (Fintech Next); Satya Panda (BillGO); Jason Hiner (The Deep View); Giovanni Everduin (Commercial Bank International); Arjun Wadwalkar (Global Payments Inc.)
Page: https://ai4.com/sessions/smarter-safer-finance-embedding-ai-in-fintech-and-payments/

Fraud, compliance, and user expectations are converging to make AI a core enabler of modern financial software. This panel brings together fintech leaders who’ve deployed AI to improve fraud detection, risk scoring, and payment flows, while delivering better experiences to end users. Panelists will share lessons on balancing innovation with regulatory guardrails, scaling AI across high-volume financial systems, and measuring ROI in terms of both efficiency and customer trust. Learn what the next generation of AI-driven fintech and payments looks like—and how enterprises can capture its value.

### 2:10 PM–2:50 PM · The AI Operating Model: From Intent to Execution
Solo Talk · Agentic Ops & Platforms (technical) · Bellini Ballroom 2104
Speakers: Ryan Wolbeck (Kraft Heinz)
Page: https://ai4.com/sessions/the-ai-operating-model-from-intent-to-execution/

As AI evolves beyond chatbots and copilots, organizations need more than powerful models.. they need a repeatable operating model that consistently turns business intent into measurable outcomes.This session explores how intent, domain knowledge, governance, and intelligent orchestration come together to create scalable AI systems that deliver real business value. Through practical examples, we'll examine how organizations can balance quality, cost, risk, and adaptability while building solutions that remain resilient as technologies, models, and business needs continue to evolve.Attendees will leave with a framework for designing AI operating models that connect strategy to execution, enabling AI to move from isolated experiments to an enterprise capability.

### 2:10 PM–2:55 PM · The Economic Impact of AI: Jobs, Productivity, and Future Economies
Panel Session · Social Impact Of AI · Palazzo Ballroom B
Speakers: Foaad Khosmood (Cal Poly / CalMatters); Anton Korinek (Anthropic | University of Virginia); Yun-Hee Kim (The Washington Post); Elizabeth Rhodes (OpenResearch); Bob Wollheim (CI&T)
Page: https://ai4.com/sessions/the-economic-impact-of-ai-jobs-productivity-and-future-economies/

This session will examine the far-reaching economic impact of AI on individuals, companies, and global economies. Panelists will discuss how AI is reshaping productivity, changing job markets, and influencing the future of work. Explore the potential for AI to drive economic growth and innovation, while also addressing concerns around job displacement, workforce reskilling, and income inequality. Learn how businesses and governments can harness AI to improve economic output and prepare for the inevitable shifts in labor markets and economic structures.

### 2:10 PM–2:55 PM · The Generative AI Playbook: Setting Your Enterprise Up for Success
Panel Session · Generative AI: Foundation & Strategy · Venetian Ballroom E
Speakers: Rob Pegoraro (PCMag / Fast Company); Pankaj Jain (General Motors Financial); Murad Dikeidek (UI Health); Max Gokhman (Franklin Templeton); Kathryn Harrison (Concentrix)
Page: https://ai4.com/sessions/the-generative-ai-playbook-setting-your-enterprise-up-for-success/

Generative AI presents a transformative opportunity, but only if executed with clarity and discipline. This panel will present a practical playbook for enterprise leaders looking to scale generative AI initiatives effectively. From identifying the right starting use cases to building governance frameworks and adopting the best technology, panelists will walk through the key ingredients for generative AI success. Learn how to avoid common missteps, prioritize real business value, and set the stage for sustainable innovation. Whether you're early in your journey or scaling aggressively, this panel will offer strategic guidance and operational know-how to help you win with gen AI.

### 2:10 PM–2:50 PM · The Hardest Part of AI is Not the AI - Sustaining Responsible AI across the Platform Lifecycle.
Fireside Chat · Infrastructure: Data Platforms & Strategy · Titian Ballroom 2302
Speakers: Nat Rubio-Licht (The Deep View); Jessica Grega (Bunge); Robert Jett (Bunge Global SA)
Page: https://ai4.com/sessions/the-hardest-part-of-ai-is-not-the-ai-sustaining-responsible-ai-across-the-platfo/

AI platforms are moving from experimentation tools to full scale deployment in enterprise infrastructure. That means organizations must shift from asking, “Can we use this tool?” to “Can we govern, evidence, monitor, and defend how this tool is used?”AI platform transformation is not about slowing innovation. It is about making innovation scalable, defensible, and aligned with compliance and risk objectives.

### 2:10 PM–2:55 PM · Underwritten by AI: Smarter, Faster, Fairer Insurance
Panel Session · Insurance · Delfino Ballroom 4103
Speakers: Andrew Zarkowsky (The Hartford); Patrick Gallic (Tokio Marine Group); Alexander Niehenke (Scale Venture Partners); Leo Sei (TomTom)
Page: https://ai4.com/sessions/underwritten-by-ai-smarter-faster-fairer-insurance/

Insurers are balancing speed and accuracy with regulatory scrutiny. In this panel, carriers, insurtechs and AI leaders share how AI is transforming underwriting, claims, and risk evaluation—while building safeguards around fairness and explainability. Expect insights into real deployments and how insurers are modernizing without losing trust.

### 2:20 PM–2:30 PM · Real World AI for Field Sales Teams
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Trevor Lee (Myko AI)
Page: https://ai4.com/sessions/real-world-ai-for-field-sales-teams/

Historically outside sales teams have been overlooked when it comes to software designed specifically for them. We are be going to explore how field sellers are the perfect first use case for AI to streamline. We'll walk through in this presentation how you can help support your teams with various use cases from pre-meeting prep to post call admin with AI. If you have an outside sales team that struggles with CRM adoption come join us!

### 2:20 PM–2:35 PM · Safe Actions with Agent Transactions: CockroachDB for Production AI Agents
Agentic Live Demo · Agentic Live Demos · Halls B&C
Page: https://ai4.com/sessions/safe-actions-with-agent-transactions-cockroachdb-for-production-ai-agents/

AI agents are moving from answering questions to taking action. This live demo shows what that requires in production. A retail returns agent retrieves scoped policy context and governed agent memory records, checks live OLTP state for orders, shipments, and payments, claims work with a lease, creates a refund hold, retries safely with idempotency, and leaves an audit trail in CockroachDB.

### 2:35 PM–2:55 PM · Cyber Security in the Age of AI
Solo Talk · Cybersecurity · Palazzo Ballroom D
Speakers: Stoddard Manikin (Children's Healthcare of Atlanta)
Page: https://ai4.com/sessions/cyber-security-in-the-age-of-ai/

Hear about the key insights and themes from 1 year of AI cyber security roundtables held in Atlanta. AI has dramatically changed the cyber security landscape. Automated attacks, novel attacks, and a landslide of new vulnerabilities raise the stakes of securing the enterprise. This talk will discuss the two primary use cases of Security for AI and AI for Security.

### 2:35 PM–2:55 PM · Fireside Chat with Chi Ogbuehi, National Football League (NFL)
Fireside Chat · Marketing & Growth · Marcello Ballroom 4403
Speakers: Celeny Da Silva (MAKERS AI); Chi Ogbuehi (National Football League (NFL))
Page: https://ai4.com/sessions/fireside-chat-with-chi-ogbuehi-national-football-league-nfl/

Not applicable. Its a fireside chat.

### 2:35 PM–2:55 PM · Governance, Not Models: The Real ROI Bottleneck
Solo Talk · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Bruno Costa (Retool)
Page: https://ai4.com/sessions/governance-not-models-the-real-roi-bottleneck/

Why isn't your AI investment showing up in your ROI numbers yet, even as the models keep getting smarter? I've found that once AI moves from generating content to taking real action inside production systems, governance, not model quality, is what actually decides whether that investment pays off.In this session, I'll walk through a simple equation for calculating AI ROI, then contrast two real companies running the exact same AI capability: one that scaled it to thousands of employees, and one that's still stuck in read-only. I'll break down the specific practices: visibility, policy, approval, and audit, that made the difference, and leave you with three concrete steps to take before your next AI budget review.Attend if you want a practical framework for closing the gap between what your AI can already do and the ROI you're actually seeing.

### 2:35 PM–2:55 PM · Humanoids Will End Manufacturing's Most Dangerous Jobs—And That’s a Good Thing
Fireside Chat · Manufacturing · Titian Ballroom 2304
Speakers: Elaine Reyes (CGTN); Pras Velagapudi (Agility Robotics)
Page: https://ai4.com/sessions/humanoids-will-end-manufacturing-s-most-dangerous-jobs-and-that-s-a-good-thing/

Humanoids will end certain dull, dangerous manufacturing jobs—and that’s a good thing. Lifting 50-pound totes for eight hours a day is a taxing, injury-prone task that’s very hard to fill, so let’s end it and give it to a robot. They’ll be better at it, and humans will be safer—which in turn benefits people's health, wellbeing, and careers. Pras Velagapudi, Chief Technology Officer at Agility, believes we’ll be better served by ending the debate over dangerous jobs going extinct thanks to humanoids and instead focusing on the new human jobs/functions that manufacturing is creating by streamlining the tedious "boots on the ground" work. In his view, the robotics renaissance done right can spark a human upskilling revolution that will unlock greater prosperity for human manufacturing workers.

### 2:35 PM–2:55 PM · Introducing Redpanda's Agentic Data Plane (ADP)
Solo Talk · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Garrett Raska (Redpanda Data)
Page: https://ai4.com/sessions/introducing-redpanda-s-agentic-data-plane-adp/

AI agents are increasingly deployed as digital employees—accessing enterprise data, making decisions, and acting autonomously. But agents are both less predictable than humans (prone to hallucination, misinterpretation, and adversarial manipulation) and more capable, with deep system access and machine-speed execution that can cascade damage fast. This makes it unsafe to trust agents to faithfully interpret or propagate security-critical metadata like access policies, data classifications, and behavioral constraints.We present Redpanda's Agentic Data Plane (ADP): an architecture using out-of-band metadata channels that carry security context, policy signals, and audit trails deterministically—entirely outside the agent's read/write path, across heterogeneous infrastructure. These channels enforce governance at every stage of the agent lifecycle: scoping data access going in, constraining actions during execution, and capturing tamper-proof audit trails coming out.

### 2:35 PM–2:55 PM · Presentation by Samio Systems
Solo Talk · Healthcare Care Providers · Marcello Ballroom 4404
Speakers: Mohamad Elzaim (Samio Systems)
Page: https://ai4.com/sessions/presentation-by-samio-systems/

What if clinical documentation and workflow intelligence happened automatically, without any reliance on provider behavior? In today’s healthcare environment, healthcare personnel are overwhelmed by administrative burden, with nearly half of their time consumed by documentation, creating inefficiencies and contributing to burnout. In this talk, I will introduce SAMIO Systems and explain how embedding spatial intelligence directly into the clinical environment—through a hardware-enabled, room-level system—fundamentally shifts how data is captured and workflows are executed. I will illustrate how this approach enables autonomous documentation, real-time operational awareness, and system-wide standardization that software-only solutions cannot achieve. Attendees will gain insight into how this infrastructure creates scalable “forced efficiency” and unlocks a new layer of clinical and operational intelligence. If you’re looking to understand where healthcare is heading beyond traditional AI tools, this session will offer a compelling look at what comes next.

### 2:35 PM–2:55 PM · Setting Boundaries for Agentic AI: Preventing Data Exposure at Enterprise Scale
Solo Talk · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Gal Helemski (PlainID)
Page: https://ai4.com/sessions/setting-boundaries-for-agentic-ai-preventing-data-exposure-at-enterprise-scale/

Agentic AI systems retrieve data directly or via MCP tools, yet most lack built-in controls. Without clear security boundaries, they can expose sensitive data and disrupt operations within seconds. As a result, enforcing guardrails across the entire AI flow and centrally managing access for all identities, human and machine, has become critical. This session explores how runtime controls are applied and enforced across distributed environments to enable secure, scalable agentic AI.

### 2:35 PM–2:55 PM · Silent Infrastructure: How Privacy-First SDKs Quietly Shape the Future of Global-Scale Mobile Apps
Solo Talk · Software Engineering · Lando Ballroom 4204
Speakers: Ramanpreet Singh Khinda (LinkedIn)
Page: https://ai4.com/sessions/silent-infrastructure-how-privacy-first-sdks-quietly-shape-the-future-of-global/

What if the most critical layer of your mobile infrastructure is also the most invisible?Mobile Software Developer Kits (SDKs) silently power billions of experiences every day—from AI-driven recommendations to real-time payments, from identity verification to on-device machine learning. Yet despite their ubiquity, SDKs remain the most underestimated component of the mobile ecosystem. When designed well, they're invisible. When designed poorly, they become front-page news—crashing apps, leaking data, and eroding user trust at scale.In this session, I'll pull back the curtain on the engineering principles that separate world-class SDKs from technical liabilities. Drawing from over 12 years of building mobile infrastructure at LinkedIn, Google Firebase, Snap, Open Garden, and Samsung — serving billions of users and millions of developers—I'll share hard-won lessons on architecting SDKs that are privacy-first, globally scalable, and genuinely developer-friendly.Why does this matter now more than ever? As AI capabilities are increasing, mobile SDKs are becoming the delivery mechanism for sophisticated ML models, privacy-preserving computation, and intelligent features that users interact with daily. The decisions we make at the SDK layer—how we handle data, how we design APIs, how we balance performance with compliance—directly shape what's possible for AI on mobile. Get it wrong, and you've built a foundation of sand. Get it right, and you've created infrastructure that quietly enables innovation for years to come.The future of mobile AI isn't just about models—it's about the invisible systems that deliver them. Join me to explore how thoughtful SDK design doesn't just enable mobile apps—it quietly defines their future.

### 2:35 PM–2:55 PM · Strategic Foundations: Aligning Agentic AI with Enterprise Growth and Resilience
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Kalvin Brite (Siteimprove); Nayaki Nayyar (Siteimprove)
Page: https://ai4.com/sessions/strategic-foundations-aligning-agentic-ai-with-enterprise-growth-and-resilience/

The era of AI experimentation is over. In 2026, enterprise competitive advantage belongs to leaders who move beyond isolated deployments to architect autonomous, goal-driven AI systems that directly advance core business outcomes.Yet the path from pilot to enterprise-wide scale is rarely a technology problem, it is a strategy problem. In this session, Nayaki Nayyar, CEO of Siteimprove and Kalvin Brite, Chief Product Officer of Siteimprove, present a proven framework for closing the strategy-execution gap: the critical distance between AI ambition and measurable business impact. Drawing on Siteimprove's own agentic transformation, including the deployment of specialized agents across its agentic content intelligence platform, Nayaki offers executives a clear-eyed view of what it takes to scale agentic AI across the pillars that matter most: trust architecture, product to platform, and revenue growth. This is a conversation about leadership, governance, and the strategic decisions that separate organizations that capitalize on AI from those that are disrupted by it. Key Takeaways for Attendees: From Silos to Ecosystems: How to move beyond fragmented AI tools toward a unified agentic layer that supports cross-functional goals. Architecting for Integrity: Why data accuracy, accessibility, and brand governance are the essential "guardrails" for autonomous agents acting on behalf of your brand. Quantifying Agentic ROI: Moving past vanity metrics to measure how AI agents actually move the needle on market authority and digital performance.

### 2:35 PM–2:55 PM · The Agent Harness: Shipping Autonomous AI Without Losing Control
Solo Talk · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Rachit Mehta (AWS); Sandhya Subramani (Amazon Web Services)
Page: https://ai4.com/sessions/the-agent-harness-shipping-autonomous-ai-without-losing-control/

As AI agents gain the ability to reason, plan, and take action, autonomy becomes both their greatest strength and their greatest risk. This talk explores the control infrastructure that sits between an agent's decisions and the actions it takes, enabling teams to safely deploy autonomous systems in production. The talk will cover governance mechanisms such as authorization, human-in-the-loop approvals, and runtime steering, followed by techniques for validating agent behavior through evaluations and red teaming. It will also examine the operational foundations required for real-world deployment, including observability, containment, and durability. Attendees will leave with a practical framework for building agents that can act independently while remaining predictable, auditable, and trustworthy.

### 2:35 PM–2:55 PM · The New AI Risk Equation: Generated Threats, Exposed Data & Autonomous Agents
Solo Talk · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Marty Weiss (Proofpoint)
Page: https://ai4.com/sessions/the-new-ai-risk-equation-generated-threats-exposed-data-and-autonomous-agents/

AI is creating new security challenges across multiple fronts—from AI-generated threats and dataexposure to the risks introduced by autonomous agents. Yet many organizations continue to address theseissues separately, creating gaps in visibility, governance, and control. Securing AI requires a broaderapproach that considers how threats, data access, and agent behavior intersect, as well as the role ofintent in understanding and managing risk across each layer. This session will examine the evolving AIsecurity landscape and the principles organizations can use to adopt AI confidently while maintainingsecurity and trust.​Attendees will learn:​Why siloed approaches create gaps in protection​Principles for securing AI across threats, data, and agents​How to enable AI innovation without increasing risk

### 2:35 PM–2:55 PM · The SQL Layer for Physical and Visual AI
Solo Talk · AI Research Summit (technical) · Venetian Ballroom A
Speakers: Mohamed Elhoseiny (KAUST & CreativAI)
Page: https://ai4.com/sessions/the-sql-layer-for-physical-and-visual-ai/

The SQL layer for Physical and Visual AI is a unified interface that lets developers query, filter, and retrieve structured insights from large-scale multimodal data such as images, video, and sensor streams. It abstracts the complexity of visual and physical-world data into a familiar query paradigm, enabling fast exploration and analytics without custom pipelines. This turns raw perception data into a programmable, database-like asset for building and scaling AI applications.

### 2:35 PM–2:45 PM · VeeL - Digitizing the Human Experience
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Page: https://ai4.com/sessions/veel-digitizing-the-human-experience/

What if your most valuable asset wasn't your resume, your network, or your time but your digital self? Every major AI company is racing to build bigger models, but nobody is solving the deepest problem ,AI that actually knows you. The way we work, create, and scale human expertise is about to fundamentally change. I will introduce VeeL, Virtual Engineered Lifeforms, a new category of AI that digitizes human identity, psychology, and lived experience into persistent, self-evolving agents that work autonomously on your behalf. The talk will illustrate how this architecture moves beyond generic assistants toward true Digital User Sims — owned by users, licensed like expertise, and nearly identical to the humans they represent. If you want to understand what human-AI collaboration actually looks like in the next decade, this is the talk you can't afford to miss.

### 2:35 PM–2:55 PM · When Agents Write the Code: Governing AI Systems Built by Humans and Agents Together
Solo Talk · Oversight: AI Explainability Governance & Model Risk · Lando Ballroom 4203
Speakers: Greg Jennings (Anaconda, Inc.)
Page: https://ai4.com/sessions/when-agents-write-the-code-governing-ai-systems-built-by-humans-and-agents-toget/

AI agents now contribute to more than 40% of committed code, and that share is rising. The governance frameworks most enterprises have in place were not built for that reality. In this session, VP of Engineering/AI Greg Jennings will explore how the shift to AI-native development, where humans and agents build together across distributed systems, is fundamentally changing what governance has to cover, and why explainability has to extend beyond model outputs to include the full software and model supply chain. The instinct is to treat this as a control problem, which it isn't. Locking down what agents can do only transfers the bottleneck. The answer is giving humans and agents the same trusted foundation, consistent environments, verified dependencies, and governed workflows from the first line of code to production. Greg will draw on what the team has built at Anaconda and what we're seeing across the Fortune 500 to share what organizations need to get right before regulation forces the issue. Attend if you're responsible for AI governance at an organization moving from experimentation to production.

### 2:35 PM–3:25 PM · Your Agent Is Failing Right Now: Building ADLC Lifecycle Maturity for Production Trust [RSVP REQUIRED]
Roundtable · Roundtable · Room 310
Speakers: Samleo Joseph (JP Morgan Chase)
Page: https://ai4.com/sessions/your-agent-is-failing-right-now-building-adlc-lifecycle-maturity-for-production/

This event requires an RSVP; to attend, submit form here The most dangerous AI-agent failures share one unsettling trait: every dashboard stayed green. Agents routinely pass demos and benchmarks yet exceed their authority, lose safety instructions mid-task, fabricate tool results, or declare success the real world never confirms, a pattern of fail-plausible behavior that conventional monitoring cannot see and model upgrades cannot fix. Drawing on real 2025–2026 production failures and the Agentic Development Lifecycle (ADLC), this talk shows how lifecycle gates, bounded authority, independent verification, and human-centered oversight turn failure patterns into an actionable maturity model with enforceable production controls. You will leave with a verifiability test for every use case, a hard question for every credential, and the binding-constraint rule for locating the weakest phase in your agent lifecycle, because in the Industry 5.0 era, competitive advantage belongs to whoever engineers the most trustworthy agents, not the most autonomous ones. Bring a production war story, or the honesty to admit your organization may be one configuration change away from having one.

### 2:40 PM–2:55 PM · Federated Agents: Acting on Unmovable Data
Agentic Live Demo · Agentic Live Demos · Halls B&C
Page: https://ai4.com/sessions/federated-agents-acting-on-unmovable-data/

Deploying AI agents in secure VPCs or air-gapped environments doesn't mean you have to sacrifice capability. This session shows how to run agents in locked-down infrastructure using an iterative build-evaluate-deploy loop. We'll monitor distributed agents on the Rhino platform and orchestrate them through a meta agent connected via Rhino MCP. The result: secure, observable multi-agent workflows in which raw data never leaves its source environment.

### 2:45 PM–2:55 PM · Using Your Existing Agents to Train Custom Models for a Fraction of a Cost of Frontier Models
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Shanea Leven (Empromptu AI)
Page: https://ai4.com/sessions/using-your-existing-agents-to-train-custom-models-for-a-fraction-of-a-cost-of-fr/

Most teams don't realize their deployed agents are already generating the training data they need. This talk walks through how to capture agent traces, filter for high-quality examples, and fine-tune smaller models that match frontier performance on your specific tasks — at a fraction of the cost. You'll leave with a practical framework for turning your existing AI infrastructure into a model training flywheel.

### 3:00 PM–3:20 PM · Agentic Ops for the Secure Agentic Enterprise: Safe, Observable Agents with HPE and NVIDIA
Solo Talk · Agentic Ops & Platforms (technical) · Bellini Ballroom 2104
Speakers: Steve Stein (NVIDIA); Mark Seither (HPE)
Page: https://ai4.com/sessions/agentic-ops-for-the-secure-agentic-enterprise-safe-observable-agents-with-hpe-an/

Enterprise agents are becoming operators: executing commands, calling tools, spawning sub-agents, and running across hybrid environments. In this technical session, HPE and NVIDIA will share an emerging architecture for the Secure Agentic Enterprise, combining NVIDIA AI Agent Toolkit for sandboxed, policy-enforced execution with HPE Private Cloud AI and observability to deploy, inspect, interrupt, and audit agents on sovereign infrastructure. We’ll cover the Agentic Ops control plane: agent sandboxes, policy gateways, human and agent identity, token controls, observability layers, and human stop-lines for privileged actions. Attendees will leave with a practical design pattern for agents that are useful enough to act, bounded enough to trust, and observable enough to operate in production

### 3:00 PM–3:45 PM · AI Powered Care Providers for a Better Tomorrow
Panel Session · Healthcare Care Providers · Marcello Ballroom 4404
Speakers: Caleb Poore (Boone County Health Center); Morgan Jeffries (Geisinger); Aalpen Patel (Former MedQuest Imaging); Anik Bose (Benhamou Global Ventures (BGV)); Caroline Chung (The University of Texas MD Anderson Cancer Center)
Page: https://ai4.com/sessions/ai-powered-care-providers-for-a-better-tomorrow/

AI can augment the clinical workforce—if deployed responsibly. In this holistic panel, provider organizations share how they’re using AI to enhance diagnostic accuracy, streamline documentation, and reduce administrative burden. We’ll dive into deployment strategies, integration with EHRs, and how clinicians are being trained to work with AI at the bedside. Join leading hospital executives, technologists and physicians in this impactful conversation about the modernized future of healthcare.

### 3:00 PM–3:45 PM · Alpha to Automation: How AI Is Reshaping Asset Management
Panel Session · Financial Services Asset Management · Delfino Ballroom 4103
Speakers: Sai Krishna Rallabandi (Fidelity Investments); Ashish Bansal (The Vanguard Group); Vrinda Menon (JP Morgan Chase, Private Bank); John Divine (U.S. News & World Report); Sheema Usmani (State Street)
Page: https://ai4.com/sessions/alpha-to-automation-how-ai-is-reshaping-asset-management/

What does it take to stay ahead in a world of real-time markets and AI-powered competition? In this panel, leaders from asset managers and fintechs share how AI is unlocking new insights, cutting costs, and scaling client intelligence. From modeling to compliance, hear real-world case studies on how top firms are balancing innovation with oversight in today’s dynamic investment landscape.

### 3:00 PM–3:45 PM · Build vs. Buy — Making the Right AI Infrastructure Decisions
Panel Session · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: David Chun (Columbia University); Mike Burgio (OutSystems); Ryan Horjus (Hydra Host); Devang Modi (Bausch & Lomb); Andrea Spielvogel (Nürtingen-Geislingen University (NGU))
Page: https://ai4.com/sessions/build-vs-buy-making-the-right-ai-infrastructure-decisions/

Every enterprise is grappling with the same question: should we build AI capabilities ourselves, or partner with vendors? This panel will unpack the strategic trade-offs CIOs and CAIOs face when making AI infrastructure bets. Panelists will compare open-source frameworks, cloud-native platforms, and proprietary technology solutions—highlighting differences in cost, flexibility, speed to market, and risk. They’ll also share approaches to avoiding vendor lock-in, maintaining security, and ensuring long-term scalability. Attendees will leave with practical decision frameworks to guide their own build vs. buy strategies in the AI era.

### 3:00 PM–3:20 PM · Building AI for Regulated Industries: From “Certified Code” to “Governed Systems”
Solo Talk · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Bob Serr (Aristocrat)
Page: https://ai4.com/sessions/building-ai-for-regulated-industries-from-certified-code-to-governed-systems/

AI agents change how software behaves, shifting from deterministic, one-time-certified builds to live systems that plan, decide, and act on their own. For regulated industries, that breaks the certification model: you can’t freeze a system that doesn’t hold still. This session lays out the infrastructure required to govern agents at scale: policy gateways, identity, tracing, and continuous assurance loops that replace static approval with bounded, evidence-generating change. It then extends that same discipline to multi-agent workflows, where authority and audit trails must survive every agent-to-agent handoff. Drawing on regulatory precedent from the FDA, the EU AI Act, and financial model risk management, plus a gaming-specific lens on where AI can and cannot touch a certified outcome, attendees will leave with a practical governance stack they can start building immediately.

### 3:00 PM–3:45 PM · Building Trust in AI: Interpretability, Explainability, and Governance at Scale
Panel Session · Oversight: AI Explainability Governance & Model Risk · Lando Ballroom 4203
Speakers: Ron Whitworth (Truist); Shashank Kadetotad (Mars); Tiffany Benitez (Compass Group USA); Blake Brannon (OneTrust); Josh Coffey (Apryse)
Page: https://ai4.com/sessions/building-trust-in-ai-interpretability-explainability-and-governance-at-scale/

Enterprise AI success increasingly depends on trust among regulators, stakeholders, and customers. This panel explores how organizations are embedding interpretability and explainability into their AI systems and establishing governance frameworks that ensure responsible use. Hear from leaders on how they’re implementing practical solutions to meet compliance, support internal oversight, and drive ethical AI practices across teams. This session provides actionable guidance on navigating the regulatory landscape, improving model transparency, and laying the foundation for trusted AI at scale.

### 3:00 PM–3:45 PM · Code Quality, Security, and Culture in the AI Coding Era
Panel Session · Software Engineering · Lando Ballroom 4204
Speakers: Madhavi Najana (Federal Home Loan Bank of Cincinnati); Chris Johnson (Phase2); Patrick Akil (Xebia); Ravi Teja Prabhala Venkata (Capital One); Vikul Gupta (QualityAI)
Page: https://ai4.com/sessions/code-quality-security-and-culture-in-the-ai-coding-era/

AI coding assistants promise speed and efficiency—but they also raise new questions about quality, security, and the developer experience. This panel will explore how engineering leaders are adapting processes to ensure AI-generated code is reliable, secure, and compliant with organizational and regulatory standards. Panelists will discuss real-world challenges: preventing subtle bugs, avoiding hidden vulnerabilities, navigating licensing/IP issues, and rethinking code review practices in the AI era. The conversation will also cover the human side—how to maintain strong engineering culture, support junior developer learning, and build trust between humans and machines. Attendees will gain practical insights into balancing the productivity gains of AI-assisted coding with the long-term integrity, safety, and culture of software development.

### 3:00 PM–3:45 PM · Customizing Intelligence: Fine-Tuning and Prompt Engineering for Real-World Impact
Panel Session · Generative AI (technical) · Veronese Ballroom 2504
Speakers: Siobahn Grady (North Carolina Central University); Malhar Deshpande (Clean Harbors); Jalashri Raval (Amgen); Srikanth Maru (Cricut); Ankit Goyal (LinkedIn)
Page: https://ai4.com/sessions/customizing-intelligence-fine-tuning-and-prompt-engineering-for-real-world-impac/

Enterprises are moving beyond generic foundation models and focusing on how to customize AI for specific workflows, data, and business contexts. This panel dives deep into two core techniques—fine-tuning and prompt engineering—that enable organizations to extract maximum value from generative models. Experts will share strategies for balancing cost, control, and performance when adapting models to domain-specific use cases, from customer support to design to code generation. Discussion will cover instruction tuning, retrieval augmentation, and structured prompt frameworks for consistent outputs. Attendees will walk away with a clear understanding of how to align model behavior with business goals, when to fine-tune vs. when to prompt-engineer, and how leading teams are operationalizing these methods to build smarter, more differentiated AI systems.

### 3:00 PM–3:45 PM · Data Strategy to Enable Effective AI: Turning Data into a Competitive Advantage
Panel Session · Infrastructure: Data Platforms & Strategy · Titian Ballroom 2302
Speakers: Kirby Forlin (The Cigna Group); Jose Martinez (Coca Cola FEMSA); Tor Constantino (Forbes); Adit Abraham (Reducto); Andy Pernsteiner (VAST Data)
Page: https://ai4.com/sessions/data-strategy-to-enable-effective-ai-turning-data-into-a-competitive-advantage/

Effective AI starts with a strong data foundation. This panel will explore how organizations are building enterprise data strategies that support scalable, high-impact AI initiatives. Experts will discuss how to align data priorities with AI goals, foster a data-driven culture, and overcome challenges around data quality, access, and integration. Learn from real-world examples of companies that have transformed their data ecosystems to accelerate AI outcomes. Experts will share about the critical components of a good data strategy, including the platforms, methods, and human talent necessary to succeed in the AI era.

### 3:00 PM–3:20 PM · Fireside Chat with Andrew Yang
Fireside Chat · Social Impact Of AI · Palazzo Ballroom B
Speakers: Jacob Bogage (Reuters); Andrew Yang (Noble Mobile)
Page: https://ai4.com/sessions/fireside-chat-with-andrew-yang/

### 3:00 PM–3:20 PM · Fireside Chat with Erik Reppel, Coinbase
Fireside Chat · Software: Fintech & Payments · Titian Ballroom 2306
Speakers: Erik Reppel (Coinbase Developer Platform); Aaron Stanley (Promenade Advisory)
Page: https://ai4.com/sessions/fireside-chat-with-erik-reppel-coinbase/

What happens when AI agents become economic actors capable of holding wallets, making payments, and accessing services on their own? This fireside chat will explore the convergence of AI, crypto, and internet-native payments with Erik Reppel, creator of x402, and Yuga Cohler, Head of Engineering for Coinbase Developer Platform. The conversation will illustrate why financial infrastructure may become a critical layer for the agentic web, from autonomous transactions to new models for digital commerce

### 3:00 PM–3:20 PM · From Shadow to Spotlight: Building an AI Governance Strategy
Solo Talk · Cybersecurity · Palazzo Ballroom D
Speakers: Giulian Garruba (Mimecast North America)
Page: https://ai4.com/sessions/from-shadow-to-spotlight-building-an-ai-governance-strategy/

AI is everywhere in the workplace, and so is Shadow AI. Unsanctioned tools and autonomous agents are quietly opening new paths for data exposure. This session covers moving from blind spots to visibility: understanding how employees interact with GenAI and AI agents, building governance frameworks that don't kill innovation, and preventing data leaks before they hit headlines. Get actionable guidance on how to accelerate productivity & innovation with AI without losing control of your data.

### 3:00 PM–3:20 PM · Governing Agentic AI - A Practical Framework for Retail, Hospitality and QSR
Solo Talk · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: May Sethaphanich (McDonald's Corporation)
Page: https://ai4.com/sessions/governing-agentic-ai-a-practical-framework-for-retail-hospitality-and-qsr/

Governing Agentic AI - a Practical Framework for Retail, Hospitality and QSR.

### 3:00 PM–3:45 PM · How AI is Transforming Telecom
Panel Session · Telecom & Connectivity Infrastructure · Palazzo Ballroom E
Speakers: Anne Lee (Consultant); Cathy White (CEW Communications); Sundar Krishnan (Optimum); Sahil Yadav (Applied Optoelectonics Inc (AOI))
Page: https://ai4.com/sessions/how-ai-is-transforming-telecom/

This panel highlights how telecoms are applying AI from core infrastructure to customer experience and backend processes. Learn how AI enables real-time diagnostics, predictive maintenance, and smarter CX—while reducing churn and boosting margins. Leaders will also explore how they’re preparing for AI-heavy 5G and edge deployments at scale. Join this panel to hear from leading technology executives and telecom leaders who are shaping the future of the industry.

### 3:00 PM–3:20 PM · I Hired 150 AI Agents to Run My Life
Solo Talk · Beginner Start Here · Palazzo Ballroom L
Speakers: Tristen O'Brien (Complete Workflow)
Page: https://ai4.com/sessions/i-hired-150-ai-agents-to-run-my-life/

What if you could hire 150 employees who never sleep, never quit, and cost almost nothing?Most people are still using AI one prompt at a time, while the real shift is happening for those who put it to work as an always-on team. Tristen did exactly that, building a personal staff of 150 AI agents that handle his content, research, outreach, and daily busywork.Attendees will see which parts of a real life and business can actually be handed off to AI, where it fails and how to catch it, and a practical framework for building their own agent team without a technical background.Come see what one regular person can do with a full AI staff, and leave with the exact blueprint to start building yours.

### 3:00 PM–3:45 PM · Keeping Models Honest: AI Observability for Scalable, Reliable Systems
Panel Session · Evaluation Observability & Interpretability (technical) · Bellini Ballroom 2102
Speakers: Brooke Hopkins (Coval); Tristan Arbus (Devon Energy Corporation); Tammy Dugan (Cummins Inc.); Shahid Quraishi (7-Eleven)
Page: https://ai4.com/sessions/keeping-models-honest-ai-observability-for-scalable-reliable-systems/

As AI systems grow more complex—spanning multimodal models, pipelines, and autonomous agents—the need for observability has never been greater. This panel brings together ML engineers, data scientists, and infrastructure leaders who are building the next generation of AI monitoring and debugging tools. Panelists will explore best practices for tracking model performance in production, detecting drift and bias, tracing decision flows, and correlating signals across distributed systems. Expect candid insights into how observability differs from traditional monitoring, what it takes to achieve real-time visibility into LLMs and agentic systems, and how teams are designing feedback loops that keep models adaptive, transparent, and aligned with business outcomes.

### 3:00 PM–3:45 PM · Memory, State, and Knowledge Management: Powering Long-Running AI Systems
Panel Session · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Johannes Plambeck (Pfizer Inc.); Alain Biem (Columbia University); Chitra Bhagat (Cummins Inc); Brian Ray (Atos); Mike King (UTMB Health)
Page: https://ai4.com/sessions/memory-state-and-knowledge-management-powering-long-running-ai-systems/

Stateless models are powerful but limited. True enterprise AI requires systems that can remember, adapt, and reason across time. This panel will explore how organizations are building memory and state management layers to make AI contextual, auditable, and persistent. Panelists will dive into vector databases, knowledge graphs, feature stores, metadata systems, and hybrid approaches that underpin everything from customer-facing chatbots to predictive analytics engines. Expect discussion of trade-offs in scalability, cost, and latency, as well as how leaders are weaving together structured enterprise data with unstructured knowledge to support long-horizon use cases. Attendees will walk away with a clear view of the state-of-the-art tools and strategies for turning raw data into durable knowledge that drives competitive advantage.

### 3:00 PM–3:40 PM · Presentation by Paul Marsolan, Battle Motors
Solo Talk · Manufacturing · Titian Ballroom 2304
Speakers: Paul Marsolan (Battle Motors)
Page: https://ai4.com/sessions/presentation-by-paul-marsolan-battle-motors/

What does it take to ship production AI on an 80,000-pound refuse truck — a vehicle that fights vibration, heat, dust, and intermittent LTE on every shift, and where a single missed detection can mean a hopper fire from a discarded lithium battery?This talk goes inside Fortris™, Battle Motors' edge vision platform: eight RGB cameras, three vision models running in parallel on a Jetson Orin Nano, sub-200 ms decision latency, and a bidirectional cloud plane that turns every route into a labeled dataset. We'll walk through the real architecture — specialist + generalist + action-detection models, OTA model deployment with per-truck rollback, ADAS sensor fusion — and the production lessons behind it. Deploying a model to 1,000 trucks is not deploying to 1,000 web servers; reversibility is a product feature, not a nice-to-have.You'll leave with a concrete picture of what edge AI looks like when it has to work in one of the harshest commercial environments in America — and why the cab of an 80,000-pound truck might be the next great human-AI interface.

### 3:00 PM–3:40 PM · Scaling AI at Nationwide
Solo Talk · Generative AI Deployment At Scale · Venetian Ballroom E
Speakers: Mimi Chizever (Nationwide Insurance); Kristen Biddulph (Nationwide Insurance)
Page: https://ai4.com/sessions/scaling-ai-at-nationwide/

As enterprises move from AI experimentation to enterprise-scale adoption, the challenge is no longer building more AI. It is building an operating model that can deliver value safely, repeatedly, and with the right governance. In this session, Mimi Chizever and Kristen Biddulph will share how Nationwide is approaching AI as a portfolio of capabilities, from common foundations and human-in-the-lead practices to a platform-agnostic, tool-anchored agent strategy. Attendees will hear how Nationwide is thinking about scaling from productivity use cases to role-based and workflow agents with the controls, ownership, and guardrails needed for enterprise adoption.

### 3:00 PM–3:20 PM · The Agentic AI Playbook for Enterprise AI Transformation: Lessons Learned from Starbucks
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Bin Yu (Starbucks)
Page: https://ai4.com/sessions/the-agentic-ai-playbook-for-enterprise-ai-transformation-lessons-learned-from-st/

Most enterprises are investing heavily in AI, yet the vast majority remain stuck at the copilots and experimentation stage without achieving meaningful business transformation. In this talk, I will explain why the real challenge is not the AI models themselves, but the organizational, data, and workflow changes required to operationalize AI at scale. I will share a practical playbook for moving from copilots and RAG systems to AI agents and agentic workflows that can automate real enterprise processes across customer experience, operations, and decision-making. The talk will include lessons learned from large enterprise environments, including how to balance innovation with governance, security, and change management. Attendees will leave with a clear framework for building and scaling enterprise AI initiatives that deliver measurable business outcomes rather than isolated proofs of concept.

### 3:00 PM–3:40 PM · The Billion-Dollar Blueprint: Stress-Test Your AI Startup Idea with Professor Doug Villhard [RSVP REQUIRED]
Workshop · Workshop · Room 404
Speakers: Doug Villhard (WashU Olin Business School)
Page: https://ai4.com/sessions/the-billion-dollar-blueprint-stress-test-your-ai-startup-idea-with-professor-dou/

This event requires an RSVP; to attend, submit form hereJump back into the classroom with Professor Doug Villhard, an expert in stress-testing AI business ideas and crafting high-impact VC decks. This 40-minute, hands-on workshop invites participants to bring their startup ideas for evaluation against Doug's proprietary "5-Point Litmus Test" framework for billion-dollar potential. By the session's end, attendees will have leveraged AI tools to enhance their business models and hone a killer pitch deck ready for the most demanding of VC AI investors.Having navigated a career defined by three phases-Learn, Earn, and Return-Doug brings insights from his journey at Disney to his successful exit of Second Street to Upland Software (NASDAQ: ULPD) to now leading the #1 ranked MBA entrepreneurship program at WashU Olin, where he translates academic rigor into real-world results for the next generation of founders.

### 3:00 PM–3:40 PM · The Greatest Astronomy and Astrophysics Discovery Machine Ever Built: The NSF-DOE Vera C. Rubin Observatory
Solo Talk · AI Research Summit (technical) · Venetian Ballroom A
Speakers: Phil Marshall (NSF-DOE Vera C. Rubin Observatory)
Page: https://ai4.com/sessions/the-greatest-astronomy-and-astrophysics-discovery-machine-ever-built-the-nsf-doe/

Recently equipped with the world’s biggest digital camera, built at SLAC National Accelerator Laboratory, the Simonyi Survey Telescope at the Vera C. Rubin Observatory is built for high speed astronomical surveying. Over the next 10 years, scientists, engineers and developers at NSF NOIRLab and SLAC will be carrying out the Legacy Survey of Space and Time, repeatedly imaging the entire Southern sky in 6 different optical and near infrared bands, and accumulating hundreds of petabytes of pixel, catalog, and time series data for scientists all over the world to use. I will introduce the Rubin system and the data it produces, and show how our community is solving their LSST Big Data problems with AI and machine learning tools.

### 3:00 PM–3:10 PM · TraceRoot - open-source observability and self-improving layer for AI agents.
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Xinwei He (TraceRoot.AI)
Page: https://ai4.com/sessions/traceroot-open-source-observability-and-self-improving-layer-for-ai-agents/

What happens after your AI agent ships — when it silently hallucinates, misfires a tool call, or drifts, and you only hear about it from an angry user? In this talk I'll show how to turn observability into a self-improving loop: Detectors act as an LLM-as-judge over your live traces to catch failures automatically, then an agentic debugger spins up a sandbox with your production source, pinpoints the exact failing line, cross-references your GitHub history, and opens a fix PR. I'll demo this end-to-end on real traces, across frameworks like Claude Agent SDK, and the Vercel AI SDK and coding tools like Claude Code and Codex. You'll leave knowing how to catch silent agent failures before your users do — and how to go from a failing trace to a proposed fix without playing detective.

### 3:00 PM–3:20 PM · When Intelligence Becomes Cheap: Why the Future of AI Belongs to Systems, Not Agents
Solo Talk · CX & Customer Service · Marcello Ballroom 4403
Speakers: Brian Peterson (Dialpad)
Page: https://ai4.com/sessions/when-intelligence-becomes-cheap-why-the-future-of-ai-belongs-to-systems-not-agen/

Every major technology shift makes something expensive cheap—and when that happens, competitive advantage moves. AI is making intelligence abundant, but most organizations are still treating AI as a feature instead of redesigning the systems that create value. In this session, Dialpad CTO Brian Peterson explores why the future belongs not to standalone AI agents, but to organizations that build AI systems around context, orchestration, governance, and continuous learning.

### 3:00 PM–3:15 PM · Your Agents Don't Deserve Your Trust. Here's How They Earn It.
Agentic Live Demo · Agentic Live Demos · Halls B&C
Page: https://ai4.com/sessions/your-agents-don-t-deserve-your-trust-here-s-how-they-earn-it/

The AI industry has decided agents are valuable. It hasn't decided to prove it. Your organization is running agents across frameworks, teams, and workflows — each one isolated, unobserved, and largely taken on faith. No shared context. No record of what they were given or what they handed off. No way to know if they're doing what you said they would. And somewhere in your stack, duplicates of the same agent running in parallel because nobody had visibility to know one already existed.Building on assumed value rather than verified performance is an unsustainable approach for any modern enterprise.At Flint AI by SandboxAQ, we believe trust is not a default setting for AI; it must be earned through consistent evals and verifiable outcomes. We developed Switch to bring this level of accountability to complex, multi-agent systems.Switch is a free, open-source collaboration layer that bridges the gap between isolated agents. By centralizing shared context and making handoffs observable, it provides a single place to monitor inputs, outputs, and active processes. This is what happens when you build on assumed value instead of earned proof. And it's not sustainable.In this session, we will explore the specific challenges Switch addresses.

### 3:00 PM–3:20 PM · Your AI isn't Global. It Just Thinks It Is.
Solo Talk · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Spence Green (LILT)
Page: https://ai4.com/sessions/your-ai-isn-t-global-it-just-thinks-it-is/

Your AI Isn’t Global. It Just Thinks It Is.Why multilingual context—not bigger models—is a real bottleneck to enterprise AI ROIAs enterprises race to deploy AI globally, most assume that success in English equals readiness everywhere. It doesn’t.2026 is the year to challenge a core blind spot in enterprise AI strategy: multilingual and contextual failure is now the primary limiter of global adoption, trust, and ROI—especially as agents and RAG systems move into real operational workflows. Models don’t fail because they lack fluency; they fail because they retrieve the wrong context, are validated against the wrong benchmarks, and are evaluated in ways that don’t reflect how businesses actually operate across markets.Drawing from applied research and large-scale enterprise deployments, this session will show why AI systems that appear “production-ready” in Silicon Valley quietly break when deployed across languages, domains, and regions—and why leaders often don’t see the damage until adoption stalls or risks surface.Develop a clear executive framework for assessing whether your AI is truly global-ready, how multilingual evaluation and context validation unlock adoption, and why the next wave of enterprise AI value will be driven not by bigger models, but by better evidence of where systems work—and don’t.OutlineIntro - The Problem: The Uncomfortable TruthMost enterprise AI deployments appear successful because they’re validated in English, by English speakers, on English data.But that success collapses the moment AI touches:international employeesnon-English documentslocal regulationsfrontline operations outside Silicon Valley“If your AI only works in English, it doesn’t scale—it just demos well.”

### 3:10 PM–3:20 PM · Presentation by AIAR
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Rajiv Menon (AIAR)
Page: https://ai4.com/sessions/presentation-by-aiar/

In this presentation, I will cover the future of AI-powered entrepreneur support. Its not about just content, mentoring, or deliverables. Objective Driven AI proactively guides, follows up on tasks, and connects entrepreneurs to crucial resources in a community driven, hyper personalized, frictionless experience for founders and accelerator partners.

### 3:20 PM–3:35 PM · The Trust Equation: Turning AI Risk into Enterprise Revenue
Agentic Live Demo · Agentic Live Demos · Halls B&C
Page: https://ai4.com/sessions/the-trust-equation-turning-ai-risk-into-enterprise-revenue/

AI innovation gets you in the room, but Trust closes the contract. In the AI boom, trust isn't a compliance task, it’s your ultimate revenue engine.Join a military intel veteran & enterprise strategist to discover how transforming AI risk into deep enterprise trust unlocks 7-figure deals and accelerates top-line growth. 📍 BOOTH #1571: Visit GRSee Consulting right after the session for our booth experience.

### 3:25 PM–3:45 PM · Accelerating AI Adoption: The CISO’s Blueprint from Strategy to Delivery
Solo Talk · Cybersecurity · Palazzo Ballroom D
Speakers: Tolgay Kizilelma (Dominican University of California)
Page: https://ai4.com/sessions/accelerating-ai-adoption-the-ciso-s-blueprint-from-strategy-to-delivery/

AI initiatives often fail not because of technology, but because organizations lack a clear path from vision to value. This session provides a practical blueprint for accelerating AI adoption while maintaining security, governance, and trust. Attendees will learn what successful AI programs have in common, how to align AI initiatives with business objectives, and how to navigate the journey from strategy, use-case selection, and risk assessment to implementation, deployment, and ongoing oversight. The presentation will highlight key security, privacy, governance, and operational considerations that enable organizations to deliver measurable business value, meet stakeholder expectations, and scale AI safely and responsibly.

### 3:25 PM–3:45 PM · From Code to Agent — Transforming the Developer Experience
Solo Talk · CX & Customer Service · Marcello Ballroom 4403
Speakers: Sama Bali (NVIDIA); Logan Lawler (Dell Technologies)
Page: https://ai4.com/sessions/from-code-to-agent-transforming-the-developer-experience/

Building AI agents requires more than great models. It demands a developer experience designed for speed. In this session, Dell and NVIDIA show how bringing accelerated compute closer to developers, combined with NVIDIA's optimized AI software stack, unlocks a new level of productivity for building AI agents. Learn how Dell and NVIDIA equip development teams with everything they need to build, iterate, and deploy intelligent agents at enterprise scale.

### 3:25 PM–4:15 PM · Human Judgment in an AI-Assisted Workflow: Deciding What to Trust, Verify, or Override [RSVP REQUIRED]
Roundtable · Roundtable · Room 305
Speakers: Christopher Trudeau (University of Detroit Mercy Law School)
Page: https://ai4.com/sessions/human-judgment-in-an-ai-assisted-workflow-deciding-what-to-trust-verify-or-overr/

This event requires an RSVP; to attend, submit form hereAI can generate answers instantly, but it can't tell you when to avoid using them. This interactive roundtable explores how AI shapes professional judgment in fields where accountability is critical. The discussion will explore the tensions around trust, responsibility, and over-reliance on AI, drawing directly from participant experiences rather than scripted examples. Attendees will work through practical questions about when to rely on AI, when to slow down, and when human judgment should take center stage. By the end of the roundtable, you should have a clearer sense of how to use AI without losing sight of who remains responsible for the decisions your organization makes.

### 3:25 PM–4:05 PM · Navigating Scaling and Long Tail: VLAs, Data Generation, and Mapping Approaches in Autonomy
Solo Talk · Vision Spatial & World Models (technical) · Bellini Ballroom 2104
Speakers: Doron Portnoy (Zoox)
Page: https://ai4.com/sessions/navigating-scaling-and-long-tail-vlas-data-generation-and-mapping-approaches-in/

Deploying autonomous vehicles on public roads at scale demands high robustness of perception and mapping stacks. This includes handling rare, unpredictable "long-tail" scenarios - the ultimate stretch of perception systems. Overcoming these edge cases requires moving beyond traditional methods of perception toward a new generation of learned, scalable approaches. In this presentation, Doron Portnoy, senior staff ML engineer, Perception at Zoox, will take a technical deep-dive into how Vision-Language-Action (VLA) models are being architected and fine-tuned to interpret complex, unprecedented environments. Because training these intelligent models demands elusive, hard-to-capture data, he will also dive into how the industry is bridging the gap through innovative synthetic data generation and scene editing techniques. Last, Doron will anchor how spatial mapping approaches for L4 have evolved to unlock autonomous driving at scale.

### 3:25 PM–3:45 PM · Not Every Molecule, Not Every Cross, Not Every AI Pilot Makes It to the Field...
Solo Talk · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Jeremy Groeteke (Syngenta Group)
Page: https://ai4.com/sessions/not-every-molecule-not-every-cross-not-every-ai-pilot-makes-it-to-the-field/

Not Every Molecule, Not Every Cross, Not Every AI Pilot Makes It to the FieldAgriculture R&D runs on a hard truth: most of what you start doesn't make it — and that's the point. In crop protection, we screen tens of thousands of molecules to register a single product. In breeding, we make thousands of crosses to advance a handful of elite lines. Neither pipeline works because of the discovery; both work because of the discipline that comes after it — the stage gates, the multi-environment testing, and the ruthless culling of everything that doesn't earn its place in the field. We are very good at saying no to promising things that won't perform at scale. It's in our scientific DNA.Most enterprises run AI the exact opposite way. They let a thousand pilots bloom, celebrate the experimentation, generate a flurry of proofs-of-concept — and then wonder why so little ever reaches production, why budgets are spread thin across dozens of half-funded experiments, and why "we're doing AI everywhere" somehow hasn't moved the business. The hard part of innovation was never starting. It's choosing what to kill.At Syngenta, we stopped treating our AI portfolio differently from our science and applied the logic we already trust: broad exploration up front, then real selection pressure toward the few "lighthouse" use cases that demonstrably move the business — the ones worth concentrating talent, data, and capital behind until they reach full scale. We went from sprawling, scattered experimentation to a focused set of high-impact initiatives, and the shift was less about technology than about organizational courage: the willingness to defund good ideas in service of great ones.In this session, I'll walk through how we made that transition as a global agricultural enterprise — the selection criteria we use to decide what advances, the stage-gate discipline borrowed directly from our crop development model, the way we define and protect a lighthouse so it actually reaches scale, and the hard culling decisions (and internal resistance) that came with it. I'll be candid about what worked, what we got wrong, and what I'd do differently.You'll leave with a practical framework you can apply to your own AI portfolio on Monday morning — a way to decide which pilots deserve acreage, which to let go, and how to build the organizational muscle to tell the difference.Three takeaways:A stage-gate framework for deciding which AI pilots advance to scale and which get culled — before they quietly drain budget and attention.Why broad experimentation is the easy half of innovation, and how to build the discipline for the hard half: concentration and the courage to defund.How the screen-test-advance logic that governs both our chemistry and genetics pipelines translates directly to enterprise AI portfolio management.

### 3:25 PM–3:45 PM · Rearchitecting Upwork for the AI Era
Fireside Chat · Software: HRTech · Titian Ballroom 2306
Speakers: Andrew Rabinovich (Upwork); Thomas Germain (The BBC)
Page: https://ai4.com/sessions/rearchitecting-upwork-for-the-ai-era/

Companies are investing billions of dollars in autonomous AI agents with the promise that software will soon complete professional work independently. But what actually happens when you test these systems on real jobs with real stakes?Andrew Rabinovich, Chief Technology Officer and Head of AI/ML at Upwork, brings a perspective shaped by 25 years in machine learning and one of the world’s largest real-world datasets on digital work. On the Upwork marketplace, more than 800,000 clients post over 3 million jobs each year across hundreds of professional categories, creating a live laboratory for testing the limits of AI agents in production environments. In this fireside chat, we’ll share insights from Upwork’s Human + Agent Productivity Index (HAPI), which evaluates how advanced AI agents perform on real paid tasks. The results reveal a consistent pattern: agents struggle to reliably complete even well-defined work on their own, but performance improves dramatically when paired with expert human guidance.Drawing on more than 10 petabytes of proprietary marketplace interaction data, this discussion will also focus on how Upwork rebuilt its platform for the AI era with Uma, an AI-native orchestration layer designed to coordinate human expertise and intelligent agents to deliver work outcomes faster and more reliably.Join this session to understand what real-world data reveals about the limits of autonomous AI and why the future of work will be built around human-AI collaboration rather than replacement.

### 3:25 PM–3:45 PM · The Analytics Factory: Building the Machine That Understands Your Business
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Benjamin Shi (TextQL)
Page: https://ai4.com/sessions/the-analytics-factory-building-the-machine-that-understands-your-business/

AI can build software faster. But that does not mean it builds better software.The software industry’s answer is not better prompts. It's the software factory: a system built around better blueprints. Define what good looks like once, and AI can build toward it, test its work, and improve over time. The blueprint becomes the asset. The code becomes an output.Data is next, but the modern data stack was built for an older model of analytics. It resembles an early assembly line: fixed stages, manual handoffs, fragmented context, and weeks of cycle time. It was built for questions you can anticipate, not for exploration that moves freely across the business.The next model is the analytics factory. Its foundation is ontology as code: a single, version-controlled definition of the business that storage, pipelines, metrics, dashboards, playbooks, and agent workflows can all build from. Change the definition once, and the factory retools around it.This talk explores what an analytics factory looks like in production: how the ontology becomes the blueprint AI agents work against, why verification rather than generation is the real bottleneck in AI analytics, and what it takes to move beyond a stack built for predetermined questions.

### 3:25 PM–3:35 PM · The Augmentation Revolution: Why the Future of AI Is Human
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Rob Scott (HOLOVOX)
Page: https://ai4.com/sessions/the-augmentation-revolution-why-the-future-of-ai-is-human/

What if AI's biggest mistake isn't the technology — it's using it as a replacement? The AI replacement model is failing: trust collapses and customers always know. The talk will demonstrate live what Human/AI hybrid performance looks like — invisible coaching in real time that makes professionals elite in the moment. Attendees will leave with a framework for AI deployment that amplifies human performance. If you believe AI should make people unstoppable, not obsolete, this is your session.

### 3:25 PM–3:45 PM · We Saved an Enterprise $100M in Token and Model Costs. Steal Our Playbook
Solo Talk · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Nikunj Bajaj (TrueFoundry)
Page: https://ai4.com/sessions/we-saved-an-enterprise-100m-in-token-and-model-costs-steal-our-playbook/

Your engineering teams are shipping agents faster than anyone can track them. Token bills climb with no clear attribution, and when an agent loops or breaks, there's no way to audit the spend or shut it down. Most enterprises got here following the "start small" advice, which quietly produces hundreds of disconnected pilots, GPU waste, and no shared governance.Nikunj Bajaj, CEO of TrueFoundry, flips the script and makes the case for starting big. Drawing on production deployments at large global enterprise customers (CVS and Siemens Healthineers) that drove tens to hundreds of millions in impact, he shares the concrete plays used to rein in token spend and maximize ROI.

### 3:25 PM–3:45 PM · When AI Agents Go Live: Who Controls Their Access and Credentials?
Solo Talk · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Matt Fangman (SailPoint)
Page: https://ai4.com/sessions/when-ai-agents-go-live-who-controls-their-access-and-credentials/

AI agents are rapidly scaling from pilot environments into full enterprise production, operating autonomously across core workflows. However, this shift introduces a massive, hidden security gap: an explosion of unmanaged non-human identities (NHIs) and exposed credentials. AI agents rely on a complex web of API keys, OAuth tokens, and certificates that are often hardcoded, orphaned, or scattered across codebases and cloud vaults. Without ownership or centralized visibility, this credential sprawl creates immediate, unmonitored exposure.Following SailPoint’s recent acquisition of Entro Security, we have unified broad identity governance with deep, machine-level secrets management. In this session, SailPoint’s Field CTO shares practical, battle-tested strategies from enterprise AI deployments to help you secure your autonomous workforce.Key Takeaways:- Complete Discovery: Uncover shadow AI agents and find hidden credentials (keys, tokens, certificates) across codebases, CI/CD pipelines, and cloud environments.- Human Accountability: Bridge the machine-to-human gap by mapping every autonomous agent and secret back to an accountable, native human sponsor.- Active Lifecycle Governance: Implement automated access certifications, Zero-Standing Privilege (ZSP) controls, and rapid, closed-loop remediation to secure the lifecycle of machine credentials.- Continuous Runtime Protection: Deploy continuous threat detection (NHIDR™) to monitor token behaviors, intercept anomalous agent actions, and block active exploits.

### 3:25 PM–3:45 PM · Why More Miles Aren’t the Answer: The Case for Reasoning-First AV Architecture
Solo Talk · Automotive · Palazzo Ballroom B
Speakers: Jacob Crossman (May Mobility)
Page: https://ai4.com/sessions/why-more-miles-aren-t-the-answer-the-case-for-reasoning-first-av-architecture/

Humans don’t need millions of miles of experience to drive safely, so why do we keep building AVs that do? As autonomous vehicles expand into more cities and edge cases multiply, chasing data is not enough to make our roads safer. I’ll explain how traditional rule-based and end-to-end AV models share a critical flaw: they can’t reliably handle situations they’ve never seen before. I’ll also show why pairing deep learning with reasoning models is the architecture that handles any situation and why that matters at scale. If you want to see how AVs will truly create a safer world, this presentation will take you through the how and why of building AVs responsibly.

### 3:35 PM–3:45 PM · Harden: The End-to-End Security Platform for AI Agents in an Era of AI-Powered Attacks
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Pushpak Pujari (Harden)
Page: https://ai4.com/sessions/harden-the-end-to-end-security-platform-for-ai-agents-in-an-era-of-ai-powered-at/

AI agents are no longer just generating text: they read source code, secrets, customer records, tickets, logs, and documentation; run shell commands; call external services; and write or publish code. The flaws that breach these agents - broken authorization, IDOR, tenant isolation, agent tool authority, business-logic abuse - don't have deterministic rules or CVEs and are highly dependent on the agent itself.Attackers can weaponize these same capabilities—or plant malicious instructions inside repositories, issues, packages, and documents—to exfiltrate sensitive data, poison software, misuse trusted tools, and discover attack paths at machine speed. Harden is the end-to-end security platform for this agentic era, protecting AI agents from their first commit through every action they take in production. Running entirely in the customer’s cloud, Harden’s AI security fleet attacks code like an adversary, verifies business-logic and authorization flaws with working proofs of concept, consolidates traditional security scanning into one report, and turns confirmed findings into reviewable fix pull requests. At runtime, the Harden AI Firewall follows data and intent across the full agent session, determining what sensitive information the agent accessed, which tool or destination it is about to use, whether the action is relevant to the user’s task, and how earlier actions change its risk. It can then make an explainable policy decision to allow, block, constrain or rewrite the action, route it for human approval, or preserve it as tamper-evident evidence for security, governance, and compliance teams. This presentation will show how Harden helps enterprises move beyond point-in-time testing, prevent agents from turning legitimate authority into dangerous behavior, consolidate fragmented security controls, and adopt AI agents at full speed without giving up security, control, or trust.

### 3:40 PM–3:55 PM · Build Better Agents: Evaluate and Improve Agent Performance with Opik
Agentic Live Demo · Agentic Live Demos · Halls B&C
Page: https://ai4.com/sessions/build-better-agents-evaluate-and-improve-agent-performance-with-opik/

Building AI agents is challenging, especially when it comes to understanding why they succeed, fail, or behave in unexpected ways. This talk will include a live walkthrough of an agent in action, showing how Opik helps teams understand agent behavior, uncover hidden failures, and improve performance. Attendees will leave with practical strategies for testing, debugging, and improving their own AI agents.

### 3:50 PM–4:00 PM · Agents Need White-Box Instruments, Not Judges
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Shadab Nazar (Faberlens Inc)
Page: https://ai4.com/sessions/agents-need-white-box-instruments-not-judges/

Enterprises are deploying AI agents that finish tasks and report success — and a measurable fraction of those reports outrun the evidence: claims contradicted by the agent's own trace, "verified" work where verification never ran. Today's default answer is to ask another LLM to judge — an opinion with no error bars, from the same kind of system being audited. Faberlens takes the instrument path: white-box measurement, calibrated to each customer's baseline and delivered with measured error rates — the difference between a second opinion and a gauge. The product is an audit queue, not a vibe: "of these 1,000 runs, review these 20 — and look exactly here." And overclaimed work is only the first instrument: the same approach reads manipulation — prompt injection, confused-deputy — anywhere an agent's account of its own actions can't be trusted. Ten minutes: the live triage workflow, the learning loop that turns human review into better-behaved agents, and why white-box assurance becomes the system of record for the agentic enterprise. Live demos at our booth.

### 3:50 PM–4:10 PM · AI at Scale: Lessons from the Front Lines, a Fireside Chat with Ningyu Chen, The Home Depot
Solo Talk · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Jennifer Conrad (Inc. Magazine); Ningyu Chen (The Home Depot)
Page: https://ai4.com/sessions/ai-at-scale-lessons-from-the-front-lines-a-fireside-chat-with-ningyu-chen-the-ho/

Most AI pilots don't fail because of the technology. They stall somewhere between proof of concept and enterprise adoption.Join me for an honest conversation about what it really takes to move AI from promising pilots to enterprise-wide value. I'll share lessons from my own journey, what worked, what didn't, and the framework I use to identify, develop, and deploy AI use cases at scale. We'll explore the critical success factors that separate isolated wins from sustainable transformation.Every AI journey is different, but the lessons are often universal. I hope you'll leave with new ideas, fresh perspectives, and a clearer path to impact.

### 3:50 PM–4:10 PM · AI Has a Brain. Who Owns the Nervous System?
Solo Talk · Telecom & Connectivity Infrastructure · Palazzo Ballroom E
Speakers: Jim Fowler (Lumen)
Page: https://ai4.com/sessions/ai-has-a-brain-who-owns-the-nervous-system/

Everyone talks about AI models as the brain. But brains don’t matter without a nervous system. The real question is: who builds and controls the infrastructure that lets AI sense, decide, and act in real time. That’s where telecom moves from connectivity provider to AI infrastructure company. I’ll talk about what it really means to build the nervous system for AI, and why the companies that get this right will define what AI can actually do.

### 3:50 PM–4:10 PM · Beyond the Prompt: Building AI Agents to Automate Enterprise Workflows
Solo Talk · Cybersecurity · Palazzo Ballroom D
Speakers: Dikshit Khandelwal (OpenAI)
Page: https://ai4.com/sessions/beyond-the-prompt-building-ai-agents-to-automate-enterprise-workflows/

AI agents have the potential to transform how enterprises automate complex workflows that span multiple systems, tools, and teams. But moving from a simple AI interaction to an agent that can reliably complete real-world work requires thoughtful orchestration, clear workflows, and effective human oversight.Through a synthetic demonstration, I will illustrate how an agent can interpret an employee request, build a plan, coordinate actions across enterprise tools, incorporate human approval where appropriate, handle partial failures, verify outcomes, and report results back to the user.Attendees will learn practical patterns for designing enterprise agents, including workflow orchestration, human-in-the-loop interactions, tool integration, failure handling, retries, outcome verification, and observability. Join this session to learn how organizations can move beyond the prompt and build AI agents that reduce workflow friction, automate repetitive processes, and make enterprise work faster and more reliable.

### 3:50 PM–4:10 PM · Building a Responsible AI Playbook at NYPL.
Solo Talk · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Garvita Kapur (New York Public Library)
Page: https://ai4.com/sessions/building-a-responsible-ai-playbook-at-nypl/

Most AI strategy advice tells you to start with use cases. We did the opposite. We started with governance, policy, and principles — before we let anyone touch a tool. It sounds backwards. I'll make the case for why it was exactly right for a public institution.

### 3:50 PM–4:10 PM · Can We Trust Agents?
Solo Talk · Oversight: AI Explainability Governance & Model Risk · Lando Ballroom 4203
Speakers: Sundari Parekh (TrendAI™)
Page: https://ai4.com/sessions/can-we-trust-agents/

AI agents are increasingly bypassing structured toolchains to make raw API calls, expanding the potential blast radius in enterprise environments. This session presents a zero-trust approach to govern agentic systems with permission boundaries and behavioral monitoring. Learn how to establish accountability, traceability, and policy enforcement while mitigating risks like prompt injection, MCP abuse, and data exposure. Attendees will learn strategies to balance autonomy with control, and how to secure and govern agents without killing the vibe(code).

### 3:50 PM–4:10 PM · Context Is All You Need. Audit-Proof AI for Finance
Solo Talk · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Binny Gill (Kognitos); Amit Gupta (Kognitos)
Page: https://ai4.com/sessions/context-is-all-you-need-audit-proof-ai-for-finance/

Autonomous finance is the promise of the decade, but here's what nobody pitching it will tell you: an AI agent that guesses, even brilliantly, will never survive your audit. Boards have stopped asking whether finance uses AI and started asking why the pilots haven't moved the needle. The answer is almost always trust.In this talk, Binny Gill, founder and CEO of Kognitos, shows what audit-grade autonomy actually requires: deterministic execution instead of probabilistic guessing, and step-by-step replay of every action an agent takes. He'll make the case that when it comes to trusting AI with your ledger, context is all you need: a context graph that grounds every agent decision in your vendors, your policies, and your history, the approach Gartner recognized Kognitos for in two 2026 Hype Cycles.He'll demonstrate it live on the workflows finance leaders care about most: touchless journal entries, zero-touch close, and AP fraud detection. You'll leave with the six-step playbook for taking your first agent from pilot to production, and the bar to hold every AI vendor to.

### 3:50 PM–4:10 PM · Generative AI in Finance for Evaluating Geographical Bias & Exposures
Solo Talk · Financial Services Asset Management · Delfino Ballroom 4103
Speakers: Arun Verma (Bloomberg)
Page: https://ai4.com/sessions/generative-ai-in-finance-for-evaluating-geographical-bias-and-exposures/

Generative AI is now quite popular in quantitative finance for information extraction, signal discovery and time-series analysis. In this work, we detail our methodology of Estimation of Granular Geographical Risk Exposure of companies at country level given very sparse disclosure of revenue available from company financial statements. We use deep Bayesian networks in conjunction with large language models to blend the extracted features from company financial statement textual data with the disclosed higher-level exposures in a cross-sectional collaborative learning framework to impute geographical risk across a large set of global companies.

### 3:50 PM–4:35 PM · Hiring, Retention, and Beyond — AI’s Role in Next-Gen HRTech
Panel Session · Software: HRTech · Titian Ballroom 2306
Speakers: Marshall Bush (Baleen Research); Bryan Hong (Astranis); Alberto Silveira (HireVue); Kristie Rowley (BambooHR)
Page: https://ai4.com/sessions/hiring-retention-and-beyond-ai-s-role-in-next-gen-hrtech/

HR software is moving past manual workflows to intelligent platforms that anticipate both employer and employee needs. This panel will highlight how HRTech providers are embedding AI into recruiting, onboarding, and retention, as well as how companies are using predictive analytics to understand employee engagement and flight risk. Panelists will address fairness and compliance challenges, while exploring how personalization and generative AI can elevate employee experiences. Walk away with insights into how AI is changing HR systems—and what it means for the future of work.

### 3:50 PM–4:10 PM · Inference at Scale: Deploying Open-Source LLMs in Production with vLLM and llm-d
Solo Talk · Generative AI Deployment At Scale · Venetian Ballroom E
Speakers: Rob Greenberg (Red Hat)
Page: https://ai4.com/sessions/inference-at-scale-deploying-open-source-llms-in-production-with-vllm-and-llm-d/

Training gets the headlines, but inference is where generative AI meets production — and where the costs, latency, and scaling challenges actually live. This session demystifies LLM inference from the ground up: how models generate tokens, why the KV cache and the prefill/decode split matter, and what an inference server actually does to make GPUs go "brrrr." From there we turn to the hard part — running inference at scale. As reasoning and agentic workloads drive token demand 20x higher (and compute 150x higher), single-node serving stops being enough.We'll show how Red Hat approaches distributed inference with llm-d, a Kubernetes-native, open-source initiative built jointly with Google, NVIDIA, Hugging Face, and others. You'll see how disaggregated prefill and decode, intelligent request scheduling, KV-cache-aware routing, and hardware-agnostic serving across NVIDIA, AMD, Intel, and Google TPUs come together to maximize GPU utilization and hit demanding SLOs — across edge, private, and public cloud.We'll connect the dots from vLLM as the de facto inference engine to llm-d as the scaling layer, rounding out the picture with validated and quantized models that stretch more tokens out of fixed hardware.Attendees will leave understanding not just what inference is, but how to deploy it efficiently and reliably at enterprise scale.

### 3:50 PM–4:40 PM · It's no longer about the tech. It's about the people. [RSVP REQUIRED]
Roundtable · Roundtable · Room 303
Speakers: Marcus Spillane (Howard Hughes)
Page: https://ai4.com/sessions/it-s-no-longer-about-the-tech-it-s-about-the-people-rsvp-required/

This event requires an RSVP; to attend, submit form hereWhat if the hardest problem in enterprise AI isn't the technology? After 18 months deploying AI inside a public company, I can tell you the models are ready, the tools ship weekly, and none of that is where deployments die. The gap between what AI can do and what organizations actually do with it is a people gap, and most leaders are still solving for the wrong side of it. In this roundtable we'll get honest about what actually works: reading resistance instead of fighting it, why org design beats model selection, and how to build trust with people who suspect AI is coming for their job. Come if you're tired of vendor demos and want the operator conversation nobody's having on stage.

### 3:50 PM–4:10 PM · Neural Scaling Universality: Emergent Power Laws Obey Robust Exponents
Solo Talk · AI Research Summit (technical) · Venetian Ballroom A
Speakers: Yizhou Liu (MIT)
Page: https://ai4.com/sessions/neural-scaling-universality-emergent-power-laws-obey-robust-exponents/

The success of today's large language models (LLMs) depends on the observation that larger models and longer training lead to better performance. However, the origin of this observation, called the neural scaling laws, that loss decreases as a power law with model size and training time, remains unclear. This talk will present the newly identified mechanisms: geometric constraints of representation lead to a part of loss inversely proportional to model width, inductive bias of residual networks leads to most layers being similar, yielding another part inversely proportional to model depth, and the intrinsic power-law behaviors in softmax and cross-entropy functions lead to a power-law loss with training time whose exponent is one-third. These results emphasize that the origin of neural scaling laws is in model architectures, providing insights into designing future training strategies and architectures.

### 3:50 PM–4:10 PM · Physical AI for Delivering Superhuman Performance in Factories
Solo Talk · Manufacturing · Titian Ballroom 2304
Speakers: Satyandra Gupta (GrayMatter Robotics)
Page: https://ai4.com/sessions/physical-ai-for-delivering-superhuman-performance-in-factories/

Human demonstrations can only take robotics so far in manufacturing applications. To truly transform high-mix manufacturing, robots must leverage their unique strengths—unmatched speed, precision, and force—beyond human limits. In this session, discover how Physical AI enables robots to conduct self-directed experiments in autonomous labs, learning new process recipes on their own to achieve superhuman manufacturing performance.

### 3:50 PM–4:10 PM · Prompt, Plan, Pwn: The Agentic Kill Chain
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Subba Bachina (Lenovo)
Page: https://ai4.com/sessions/prompt-plan-pwn-the-agentic-kill-chain/

Autonomous agents don't just answer — they plan and act, carrying your authority as they call tools and invoke other agents. That loop is what attackers exploit: a single poisoned prompt becomes a multi-step plan, and that plan becomes real action using the agent's own privileges. Drawing on red-team work against production agentic systems, I'll walk real attack paths — indirect injection, tool poisoning, reasoning-chain manipulation, and cross-agent exfiltration — and show why the autonomy that makes agents useful is what makes them exploitable. Then, the controls that break the chain: agent identity and non-human authentication, delegation-scoped tokens, taint tracking across tool calls, hardware-bound attestation, and least-privilege containment that assumes any agent can be turned against you.

### 3:50 PM–4:10 PM · Reaching Users on Every Screen: How Flutter's Multi-platform Capabilities Can Scale Your AI Investments
Solo Talk · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Khanh Nguyen (Google Cloud)
Page: https://ai4.com/sessions/reaching-users-on-every-screen-how-flutter-s-multi-platform-capabilities-can-sca/

"The hardest part of launching an experience shouldn't be deciding where to launch it. Yet, many organizations' initiatives and product roadmaps are stalled by platform constraints.By building your client architecture with Dart and Flutter, you eliminate the friction of platform-first thinking. Your teams can build your core features once and instantly reach users on mobile, web, desktop, and embedded devices.🪙 Slash AI token costs by feeding your coding agents a single, unified Dart codebase context rather than fragmented, platform-specific native files, eliminating platform code drift.🛡️ Maximize agentic efficiency with Dart & Flutter's Agent Skills and MCP Servers, alongside Dart's strong type system that allows autonomous agents to self-diagnose and correct errors in real-time—all backed by a world-class developer experience that engineers love, like Agentic Hot Reload which enables them to instantly see their changes in a running app.🔌 Build & integrate new features, like agent-driven UI, seamlessly into your existing apps using Add-to-App.📈 Proven strategic ROI with bulletproof, large-scale case studies from Toyota, SoFi, NotebookLM, and more demonstrating up to 70% in development savings and unmatched engineering velocity."

### 3:50 PM–4:40 PM · Roundtable: Securing AI Against Adversarial Attacks [RSVP REQUIRED]
Roundtable · Roundtable (technical) · Room 310
Speakers: Rob Lee (SANS Institute)
Page: https://ai4.com/sessions/roundtable-securing-ai-against-adversarial-attacks-rsvp-required/

This event requires an RSVP; to attend, submit form hereAI systems are being attacked in ways that traditional security controls weren't designed to catch. Prompt injection rewrites model behavior at runtime. Data poisoning corrupts outputs at the training or fine-tuning layer. Model extraction lets adversaries reconstruct proprietary systems from query responses alone. These aren't theoretical---they're documented attack patterns showing up in production environments right now, against systems that passed every pre-deployment security review.This roundtable puts practitioners in the room to work through what hardening actually looks like against each of these vectors: what defensive controls exist, where they break down, and what the architectural decisions are that make AI systems either resilient or brittle under adversarial conditions. Particular focus on middleware security layers---the governance and control surface between an organization's data and the models consuming it---which is where most enterprises have the widest gap between what they've deployed and what they've secured.Rob T. Lee will facilitate. The format is peer exchange: what organizations in the room are actually deploying, where they're stuck, and what's working. Participants leave with a benchmarked view of the current defensive landscape and specific hardening actions they can take back to their teams.

### 3:50 PM–4:10 PM · Solve the AI Trust Gap with Agent Observability
Solo Talk · Evaluation Observability & Interpretability (technical) · Bellini Ballroom 2102
Speakers: Paul Lacey (Cisco)
Page: https://ai4.com/sessions/solve-the-ai-trust-gap-with-agent-observability/

Enterprise agents stall when their guardrails can't be trusted — 1 in 3 LLM-as-judge eval scores are wrong without proper tuning. Splunk Agent Observability helps teams create and deploy high-accuracy evals as live runtime guardrails, using purpose-built small language models that evaluate 100% of production traffic at up to 98% lower cost. See a live demo across evaluation, observability, and agent control.

### 3:50 PM–4:10 PM · Taming AI Chaos: The Rise of the Enterprise Superagent - Presentation by KPMG
Solo Talk · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Mark Shank (KPMG)
Page: https://ai4.com/sessions/taming-ai-chaos-the-rise-of-the-enterprise-superagent-presentation-by-kpmg/

Discover how to stop building disconnected bots and start orchestrating real business outcomes with Superagents built by KPMG and Google Cloud.

### 3:50 PM–4:10 PM · The Data Layer Is the New Control Plane: Winning AI Across Hyperscalers, Neo-Clouds, Sovereign Edge
Solo Talk · Infrastructure: Data Platforms & Strategy · Titian Ballroom 2302
Speakers: Dejay Noy (NetApp)
Page: https://ai4.com/sessions/the-data-layer-is-the-new-control-plane-winning-ai-across-hyperscalers-neo-cloud/

As AI scales across clouds, sovereign environments, and the edge, organizations face mounting challenges around data access, security, governance, and compliance. These challenges are becoming the primary reason AI projects fail to move from experimentation to production. Join us to discover why the data layer is emerging as the new control plane for AI. Through real-world customer use cases, we'll explore how leading organizations are building AI-ready data infrastructures that accelerate innovation, simplify governance, and deliver trusted AI outcomes at scale.

### 3:50 PM–4:10 PM · The HHS Clinical AI Adoption Framework of Regulation, Reimbursement, and Research and Development
Fireside Chat · Healthcare Care Providers · Marcello Ballroom 4404
Speakers: Mark Atalla (US Department of Health and Human Services (HHS), Office of the National Coordinator for Health IT (ONC)); Arman Sharma (U.S. Department of Health and Human Services (HHS)); Ruth Reader (Second Opinion Media)
Page: https://ai4.com/sessions/the-hhs-clinical-ai-adoption-framework-of-regulation-reimbursement-and-research/

How can we accelerate the adoption of clinical AI while ensuring it improves patient care, reduces provider burden, and earns public trust? We will discuss how HHS is approaching this challenge through a coordinated framework that brings together regulation, reimbursement, and research and development to enable scalable AI adoption across the healthcare system. We will highlight the role of collaboration across HHS agencies and with stakeholders throughout the healthcare ecosystem. Attendees will leave with a clearer understanding of where federal policy is headed, the opportunities and challenges ahead, and how they can help shape the next generation of clinical AI. Join us to explore how these complementary policy levers can accelerate innovation while improving care for patients and clinicians alike.

### 3:50 PM–4:10 PM · The Rise of Agentic CX: How AI Voice Agents Are Rewriting Customer Service
Solo Talk · CX & Customer Service · Marcello Ballroom 4403
Speakers: Venkata Harikishan Koppuravuri (Manulife Johnhancock)
Page: https://ai4.com/sessions/the-rise-of-agentic-cx-how-ai-voice-agents-are-rewriting-customer-service/

Customer service is entering a new era where Voice agents are moving towards becoming context aware systems. This session explores how Agentic AI, can personalize conversations, resolve issues faster, improve customer loyalty. We will discuss on the strategies to modernize contact centers, improve containment, reduce AHT, measure CX impact. We will also cover governance, implementation patterns, real world lessons for building trusted AI powered customer experience at enterprise scale.

### 4:00 PM–5:00 PM · Startups & VCs Reception [RSVP REQUIRED]
AI Startups & VCs · 101-103
Sponsors: Dell Technologies
Page: https://ai4.com/sessions/startups-and-vcs-reception-rsvp-required/

This event requires an RSVP; to attend, submit form here.Join other VCs and startups at this networking event exclusively for startup founders & VCs.This event is exclusively open to startup CEOs & founders and VCs. We reserve the right to revoke the RSVP of those who do not meet this criteria.

### 4:00 PM–5:00 PM · Women In AI Reception [RSVP REQUIRED]
Meetups & Receptions · 401-403
Sponsors: Backblaze, IFS
Page: https://ai4.com/sessions/women-in-ai-reception-rsvp-required/

This event requires an RSVP; to attend, submit form here.

### 4:15 PM–4:35 PM · Agents Are Not Tasks: The Economics of Learned Infrastructure
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Radhika Ravirala (Granica.ai); Tarang Vaish (Granica.ai)
Page: https://ai4.com/sessions/agents-are-not-tasks-the-economics-of-learned-infrastructure/

Most enterprises treat AI agents as tasks: fire one off, take the answer, discard everything it learned. That's why cost explodes and quality slips: every session starts cold, rebuilding context it already had and paying for it again. This talk makes the case for treating agents as learned infrastructure instead: persistent, collaborative, continually improving, and compounding in value the more your teams use them. When work and memory survive across sessions, models, and people, the economics flip: you lower spend, raise quality, and move faster at once, not as tradeoffs.

### 4:15 PM–4:25 PM · AI Disruption in IT Service Management, the Future of IT Ops in an AI Agent World
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Scott McIsaac (Helios Core AI)
Page: https://ai4.com/sessions/ai-disruption-in-it-service-management-the-future-of-it-ops-in-an-ai-agent-world/

Every AI service desk closes tickets faster, resets passwords, provisions apps. That is not a differentiator anymore, it is the current expectation. The real question is who is running your operation when no one opened a ticket. This session is about the shift past the reactive AI service desk to an AI operations agent that watches your environment, correlates signals across your stack, triages what matters, and remediates before it becomes someone's problem. Drawing on two decades of running enterprise IT operations, we will separate what is genuinely autonomous from the chatbots wearing an agent's clothes, and show what it takes to put proactive AI into production. If you own IT service delivery, this is the ten minutes that moves your thinking from deflecting tickets to running operations.

### 4:15 PM–4:35 PM · BLINDSPOT - How Princess Cruises unlocked $120M of Incremental Revenue using Contact Center signal
Solo Talk · CX & Customer Service · Marcello Ballroom 4403
Speakers: Camille Bailey (Princess Cruises); Gregg Hough (harpin AI)
Page: https://ai4.com/sessions/blindspot-how-princess-cruises-unlocked-120m-of-incremental-revenue-using-contac/

Every vendor in this building will tell you to automate your easy contacts, and they are right, but almost nobody is talking about what happens next: when AI absorbs the simple calls, every conversation left in the human queue is harder, longer, and higher-stakes than the one before it. I will show what we found when we read millions of real guest conversations at Princess Cruises, including the calls that most deflection strategies in this room would have thrown away, and what happened when we handed those conversations back to humans with better information in the moment. That work has driven $120 million in revenue, and I will walk through how it was measured, not just what it added up to. I will be joined on stage by the Princess operator who lived it, including the parts we got wrong. You will leave knowing how to see what is actually inside your call volume, which contacts are genuinely safe to automate, which ones are quietly worth eight figures, and how to prepare the people who inherit everything else. The talk includes a live demo, not a slide of one.

### 4:15 PM–4:55 PM · Deploying GenAI Safely at Scale
Solo Talk · Generative AI (technical) · Veronese Ballroom 2504
Speakers: Marina Printz (New York Life)
Page: https://ai4.com/sessions/deploying-genai-safely-at-scale/

How do you know if GenAI answer is actually right, not just confident sounding? This talk covers how we evaluate and monitor GenAI in production. It gives a practical way to think about scoring and monitoring your own systems. Useful for anyone building or reviewing AI systems before launch.

### 4:15 PM–4:35 PM · From Autocomplete to Agents: The Evolution of AI in Fundamental Investing
Fireside Chat · Financial Services Asset Management · Delfino Ballroom 4103
Speakers: Garence Staraci (Wellington Management); John Divine (U.S. News & World Report)
Page: https://ai4.com/sessions/from-autocomplete-to-agents-the-evolution-of-ai-in-fundamental-investing/

As investment software evolves from chatbots to autonomous agents, how do fundamental managers protect their competitive edge? We discuss how new workflows impact stock selection and whether widespread tech commoditizes outperformance. Learn how hiring needs are shifting to favor irreplaceable human skills, and how to navigate trust within the black box. Join us to uncover near-term predictions for investment workflows.

### 4:15 PM–4:35 PM · From Zero to AI Hero: How GB Corp Rebuilt its Enterprise DNA
Solo Talk · Infrastructure: Data Platforms & Strategy · Titian Ballroom 2302
Speakers: Bishoy Sawiris (GB Corp)
Page: https://ai4.com/sessions/from-zero-to-ai-hero-how-gb-corp-rebuilt-its-enterprise-dna/

This session will focus on how organizations can leverage AI to enhance decision-making by working alongside human judgment instead of replacing it. Using real-world examples from GB Corp, I'll discuss practical applications in areas like demand forecasting and risk management, emphasizing actionable insights for integrating data, AI, and human expertise. Attendees will learn how to utilize Governed AI for smarter decisions, measure the impact and ROI of AI initiatives, and create an AI-ready culture that fosters ethical and sustainable adoption. The key message is that combining human insight with AI technology leads to faster, more confident decisions, transforming uncertainties into opportunities for lasting business value.

### 4:15 PM–4:55 PM · Govern the System, Not the Technology: Programmatic AI Oversight for Speed and Compliance
Solo Talk · Oversight: AI Explainability Governance & Model Risk · Lando Ballroom 4203
Speakers: Brian Allen (Center for AI Oversight)
Page: https://ai4.com/sessions/govern-the-system-not-the-technology-programmatic-ai-oversight-for-speed-and-com/

AI is not just a technology transformation. It is a management transformation, and it demands a fundamental change in how organizations govern. Yet most organizations are responding with the wrong model: forming committees, assigning working groups, and layering review processes on top of existing structures. This is the Committee Fallacy: the assumption that oversight means assembling people to discuss AI, rather than building a governance system that ensures the right decisions are made by the right people, at the right time, with the right information.The committee-driven approach fails on every front that matters. It does not deliver the acceleration the business needs. It does not drive the cultural change the moment demands. And it does not protect against the legal and regulatory oversight obligations that are already taking shape.Regulators and courts are already treating AI as a governance obligation, not a technology issue. Director oversight duties are being tested under Caremark liability doctrine. The EU AI Act imposes compliance requirements with enforceable deadlines. U.S. state legislatures have introduced hundreds of AI-related bills, and federal regulators are signaling enforcement through existing authority. Organizations without a structured governance program are not just moving slowly; they are accumulating unmanaged legal and regulatory exposure with every AI deployment.This session introduces a different discipline: programmatic AI oversight governance. Rather than asking who should sit on a committee, programmatic governance applies the Informed Decision Standard: defining what must be governed, who is accountable, and what information decision-makers need to act with both speed and defensibility. Built on the AI Governance Maturity Model developed by the AI RegRisk Think Tank, this framework treats governance as the mechanism that enables acceleration, embeds accountability into the operating model, and builds defensible compliance against the regulatory landscape already in motion.Attendees will leave with a diagnostic lens for identifying whether their current governance model is actually governing or merely convening, a clear picture of the legal and regulatory obligations bearing down on boards and senior leadership, and a practical framework for building governance that increases decision velocity rather than impeding it. This session is designed for board directors, C-suite executives, chief risk officers, general counsel, and anyone responsible for ensuring their organization moves fast on AI without accumulating indefensible risk.

### 4:15 PM–4:35 PM · Learning the Regulatory Code of Alzheimer's Genomes, Towfique Raj, Icahn School of Medicine
Solo Talk · AI Research Summit (technical) · Venetian Ballroom A
Speakers: Towfique Raj (Icahn School of Medicine at Mount Sinai)
Page: https://ai4.com/sessions/learning-the-regulatory-code-of-alzheimer-s-genomes-towfique-raj-icahn-school-of/

Most genetic changes linked to Alzheimer’s disease do not alter proteins directly, but instead affect how genes are turned on and off. In this talk, I will explain how we decode these hidden regulatory signals by combining human genetics with studies of microglia, the brain’s resident immune cells that help protect and maintain brain health. I will describe how we use eQTL analyses, which link DNA differences to changes in gene activity, to understand how risk variants influence how genes work inside these cells. I will also show how deep learning models can predict how small DNA sequence changes affect gene function and disease risk. Attendees will gain a clear framework for how genetic risk shapes brain immune cell behavior and contributes to Alzheimer’s disease, and how these insights can guide new therapeutic targets.

### 4:15 PM–4:35 PM · Nurturing AI: Teaching Machines to Understand What They Can't Feel
Solo Talk · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Megs Shah (Parasol Cooperative)
Page: https://ai4.com/sessions/nurturing-ai-teaching-machines-to-understand-what-they-can-t-feel/

In January 2026, tech companies settled the first major lawsuits over teen suicides linked to AI chatbots. The problem isn't malice. It's that AI can't feel. It doesn't experience pleasure or pain, so it can't recognize them in others. When a teenager said he wanted to die, a bot optimized for engagement heard "continue dialogue," not "person is in danger." At Ai4 2025, Dr. Geoffrey Hinton called for AI with "maternal instincts," systems that genuinely care about humans. But how do you actually build that? In this session, she shares her nonprofit's (The Parasol Cooperative's) Framework to build trauma-informed and responsible AI that can discern human pain and respond appropriately, not just follow guardrails. The lawsuits are here. Your AI is being built right now. Who's nurturing it, and how?

### 4:15 PM–4:35 PM · Operational AI Is The New Competitive Advantage
Solo Talk · Software Engineering · Lando Ballroom 4204
Speakers: Andrew Duncan (QualityAI)
Page: https://ai4.com/sessions/operational-ai-is-the-new-competitive-advantage/

The organizations that realize the greatest value from AI will not necessarily be the ones with the best AI. They will be the ones that can deploy AI with confidence at scale.”. AI is advancing at an unprecedented pace. Models are becoming more capable, agents more autonomous, and AI is increasingly writing code, generating content, making decisions, and participating in core business processes. Yet despite billions invested in AI, many organizations remain hesitant to deploy it at scale. The challenge is no longer intelligence — it is trust. As AI becomes embedded in enterprise operations, organizations face a new class of risks, including hallucinations, autonomous decision failures, governance gaps, security vulnerabilities, model drift, bias, and intellectual property exposure. At the same time, business leaders are under pressure to accelerate innovation, improve productivity, and realize measurable value from their AI investments. In this keynote, Andrew Duncan, CEO of QualityAI, will explore why trust is emerging as the defining challenge of the AI era. He will discuss how the enterprise focus is shifting from building AI to operationalizing AI, why quality must evolve from a software engineering discipline into a business assurance capability, and how Continuous AI Assurance can help organizations deploy AI responsibly and confidently at scale. Attendees will gain practical insights into how leading enterprises are balancing innovation with risk, accelerating adoption while maintaining control, and building the operational confidence required to move AI from experimentation to business-critical operations. The first era of AI was about intelligence. The next era of AI will be about trust. To unlock the full value of AI, enterprises must change the prompt — from asking what AI can do to proving what AI can be trusted to do.

### 4:15 PM–5:00 PM · Product Managing AI Products
Panel Session · Product Management · Palazzo Ballroom L
Speakers: Cobus Kok (Priceline); Rachel Maness (Align Technology); Devendra Parmar (Citizens Bank); Anil Mathew Roy (Zillow Group Inc.); Pierce Healy (Pendo)
Page: https://ai4.com/sessions/product-managing-ai-products/

How do you build AI products most effectively? In this session, top PMs and technology leaders share how they navigate the unique challenges of AI product development—from the planning phase to managing hallucinations to balancing control and automation. Learn how experts are shaping user expectations, iterating on complex ML-driven systems, and aligning stakeholders behind responsible AI product strategy. You will leave this panel with a clear idea on how to build the next great AI powered product for your business!

### 4:15 PM–5:00 PM · Reducing Burnout and Transforming the Clinician Experience with AI
Panel Session · Healthcare Care Providers · Marcello Ballroom 4404
Speakers: Reid Blackman (Virtue Consultants); Eric Cruzen (Northwell Health); Krishnaj Gourab (University of Maryland Rehabilitation and Orthopaedic Institute); Luiz Cieslak (CI&T)
Page: https://ai4.com/sessions/reducing-burnout-and-transforming-the-clinician-experience-with-ai/

One of the most immediate impacts of AI in healthcare isn’t flashy diagnostics—it’s in reducing the crushing administrative burden on providers. This panel will examine how AI is being used for ambient scribing, clinical documentation, revenue cycle automation, and virtual assistants, freeing up time for patient care. Panelists will share real-world examples of deployment, how to measure ROI in both time savings and provider satisfaction, and what cultural changes are needed for adoption. Expect a practical conversation on how AI can shift the clinician experience from burnout to balance, making care delivery more sustainable for the long run.

### 4:15 PM–5:00 PM · Smarter, Faster, Leaner: AI in Modern Manufacturing
Panel Session · Manufacturing · Titian Ballroom 2304
Speakers: David Hallac (Viaduct); Joe Olsen (Olsen Capital); Peter Robinson (Kaspar Companies); Royal Sequiera (FGF Brands)
Page: https://ai4.com/sessions/smarter-faster-leaner-ai-in-modern-manufacturing/

This panel showcases how leading manufacturers are using AI to supercharge productivity and resilience. Learn how predictive analytics reduces unplanned downtime, how computer vision catches defects in real time, and how AI orchestrates supply chains at scale. Explore how robotics will shape the future of manufacturing. Panelists will share practical lessons on deploying AI on the factory floor—with an eye toward ROI, safety, and uptime. Join this panel to understand the cutting edge of AI within manufacturing.

### 4:15 PM–4:55 PM · TAMING STOCHASTICITY: Evaluations & Observability at Scale
Solo Talk · Evaluation Observability & Interpretability (technical) · Bellini Ballroom 2102
Speakers: Ritesh Shah (Vanguard); Piyush Saxena (Vanguard)
Page: https://ai4.com/sessions/taming-stochasticity-evaluations-and-observability-at-scale/

Your AI Shipped. Now What?Your AI passed the tests. The demo impressed stakeholders. The pilot delivered promising results. But what happens when real users arrive and your model behaves differently than expected? How do you know it is delivering consistent, reliable outcomes across different user groups and scenarios? And when performance drifts, safety issues emerge, or evaluations produce conflicting signals, do you have the visibility and infrastructure to understand why?Join us at AI4 to explore how leading enterprises are moving beyond manual evaluations, spreadsheets, and intuition to establish a rigorous, scalable approach for measuring and governing AI systems throughout their lifecycle. In this session, we will demonstrate how modern AI evaluation frameworks help organizations build confidence in production AI by combining persona-driven testing, customized evaluation methodologies, human oversight, and continuous monitoring into a single, integrated process.Learn how Persona Management enables teams to evaluate models against realistic user archetypes rather than relying on a single “average” user, uncovering biases, gaps, and performance variations before they impact customers. See how Bring Your Own Judges (BYOJ) allows organizations to define success on their own terms using domain-specific rubrics, custom scorers, fine-tuned classifiers, or external LLM judges that align with business objectives. Discover how a Jury of Evaluators creates stronger, more trustworthy assessments by aggregating multiple independent perspectives, reducing the risk of relying on a single evaluation metric or model.We will also showcase how Human-in-the-Loop workflows enable expert reviewers to focus on high-risk and low-confidence outcomes, while continuously improving automated evaluation mechanisms. In addition, attendees will learn how structured adversarial testing and red teaming can uncover vulnerabilities such as prompt injection attacks, jailbreak attempts, and edge-case failures before deploying solutions at scale.A key highlight of the session will be showcasing our enablement architecture, illustrating how evaluation, governance, and observability capabilities are embedded across the entire AI delivery lifecycle - from experimentation and development to deployment and production operations. Attendees will see how a unified architecture enables continuous validation, monitoring, and improvement of AI systems, providing actionable insights when model behavior changes and ensuring organizations maintain trust, compliance, and performance over time.Whether you are building AI-powered applications, deploying agents, or scaling generative AI across the enterprise, this session will provide practical strategies and architectural patterns to help you transform AI evaluation from an afterthought into a competitive advantage. Stop relying on guesswork. Start building AI systems you can measure, trust, and confidently scale.

### 4:15 PM–5:00 PM · The AI-Powered Vehicle: Smarter, Safer, and Fully Connected
Panel Session · Automotive · Palazzo Ballroom B
Speakers: Avinash Balachandran (Toyota Research Institute); Amy Luca (Tensor Auto); Jacob Crossman (May Mobility); Steve Greenfield (Automotive Ventures)
Page: https://ai4.com/sessions/the-ai-powered-vehicle-smarter-safer-and-fully-connected/

Vehicles are rapidly becoming intelligent edge devices. In this panel, experts from top automotive OEMs and suppliers discuss how AI is redefining everything from driver experience to fleet safety. We'll look at how data from cameras, sensors, and ECUs is being turned into real-time insights and how AI is shortening design cycles, improving safety, and laying the groundwork for true autonomy. Join this panel to see the future of the AI powered automotive industry!

### 4:15 PM–4:35 PM · The Future of Hollywood: AI That Empowers Creators
Fireside Chat · Social Impact Of AI · Palazzo Ballroom D
Speakers: Corbin Bolies (Variety); Scott Mann (Flawless)
Page: https://ai4.com/sessions/the-future-of-hollywood-ai-that-empowers-creators/

AI has shown the power to transform film and television, but its rapid rollout has been marred by many companies ignoring the rights of the creatives whose work underpins the industry. In this fireside chat, Scott Mann, a Hollywood filmmaker and the co-founder of Flawless, will speak about the difference between Assistive and Generative AI and how it can enhance, rather than replace, human creativity. He will lay out AI’s capabilities in the film space and the safeguards necessary to ensure it is implemented ethically. Amid industry headwinds, the discussion will present a positive vision for Hollywood’s future, as companies like Flawless offer artist-endorsed technology that will enable a boom in original productions.

### 4:15 PM–5:00 PM · The Role of World Models: Teaching AI to See, Move, and Plan
Panel Session · Vision Spatial & World Models (technical) · Bellini Ballroom 2104
Speakers: Brian McClendon (Niantic Spatial); Jared Perlo (NBC News); Oliver Cameron (Odyssey); Tim Bucher (Agtonomy); Sce Pike (TELUS Digital)
Page: https://ai4.com/sessions/the-role-of-world-models-teaching-ai-to-see-move-and-plan/

This session highlights how spatial intelligence and world modeling are unlocking the next generation of intelligent systems. Panelists will share applications across robotics, AR, and autonomous vehicles, and explore the models that allow machines to build and update internal maps of their environments. Expect insights on dataset creation, simulation vs. real-world tradeoffs, and the computational limits of embodied AI.

### 4:15 PM–4:55 PM · Truth, Lies & AI
Solo Talk · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Rennu Varghese (The Friedkin Group)
Page: https://ai4.com/sessions/truth-lies-and-ai/

AI isn’t just another tech rollout—it’s a mindset shift. In this honest and practical session, Rennu Varghese, VP & CIO at The Friedkin Group, shares what it really takes to bring AI to life across a diverse portfolio of businesses. From early experiments to full-scale adoption, discover the lessons learned, pitfalls avoided, and unexpected wins along the way. This is the story of how one company turned curiosity into capability—and scaled AI without losing focus, sanity, or team spirit.

### 4:15 PM–4:35 PM · Why and How You Should Build Enterprise Agents In-House
Solo Talk · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Matt Henderson (Coral)
Page: https://ai4.com/sessions/why-and-how-you-should-build-enterprise-agents-in-house/

How should you deploy agents that can deeply understand your company’s fragmented data sources? The answer isn’t renting another vertical SaaS bot. It should be an agent architecture you own and control.This session shows how to build enterprise agents as simple yet powerful modular systems. The architecture is broken into five switchable parts: the user interface where work begins, the agent harness that defines prompts and policies, the model that can be swapped, the data runtime that plans and executes retrieval, and the data sources that hold operational truth.Internally built agents can achieve the highest accuracy and cost efficiency, while also providing strategic control. The best performing agent is the one with the best access to all of your relevant data, and wide-ranging access is best suited to agents you can fully inspect and control.Using a devops agent that investigates alerts as the worked example, we will walk through a practical implementation using proven open source software and easily switchable models. An alert arrives in Slack; the agent states a plan; it queries observability data, error tracking, repo analysis, code changes, prior incident context; then it returns a concise diagnosis with evidence and mitigation options. Similar implementations can support security investigations, customer escalations, churn analysis, billing operations, sales operations, business intelligence, and other use cases where answers require data from many tools and systems.The tools available now, from agent harnesses to agent data retrieval, transform the trade-offs in build-versus-buy enterprise AI decisions. You can own the asset that compounds in value from your usage; the derived intelligence mapping your systems, schemas, permissions, past queries, traces, and domain-specific patterns. If that learning sits outside the enterprise, then switching vendors can mean starting over cold. If it stays inside, each agent run makes the next one stronger.

### 4:15 PM–4:35 PM · Your AI Problem Isn't the AI
Solo Talk · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Nicky Pike (Coder)
Page: https://ai4.com/sessions/your-ai-problem-isn-t-the-ai/

Seventy-nine percent of organizations have adopted AI agents in some form. Eleven percent have them running in production, actually capturing value. That gap isn't a model problem. The models are good. It's a workflow, governance, and execution problem, and most teams are making it worse by bolting AI onto a development process that was never built for agents.AWS open-sourced the AI-Driven Development Lifecycle at re:Invent 2025. AI-DLC isn't "use AI to write code faster." It's a three-phase workflow: Inception, Construction, Operations. AI executes, humans approve, and context persists across the entire lifecycle instead of resetting every chat session. The teams actually shipping with this aren't using better models. They changed the system.We'll cover what a production governance model actually looks like, the four failure modes that keep teams stuck in pilot purgatory, and a five-step sequence for getting off the whiteboard and into production. Without rebuilding everything at once.Real numbers. Real failure modes. No vendor pitch.

### 4:25 PM–4:35 PM · Why Your AI Keeps Hallucinating: The Architecture Problem Nobody's Solving
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Brian Frerichs (ICDU.ai)
Page: https://ai4.com/sessions/why-your-ai-keeps-hallucinating-the-architecture-problem-nobody-s-solving/

Your AI model can ace every benchmark you throw at it and still fail the moment a real user changes one small detail, so why does "smarter" keep producing the same hallucinations, inconsistent answers, and runaway token costs?This happens because most AI systems are never taught to apply principles under new conditions; they're taught to recite patterns that look right in training, burning extra tokens on retries and clarification loops along the way, a structural gap that benchmarks like MMLU and HumanEval don't even measure.I'll break down why this "recitation trap" persists even as models get larger, and walk through Intent-Conscious Data Units (ICDU) — a patent-pending architecture that encodes intent, governing principles, and context before inference happens, then gates every output through structured evaluation before it ever reaches a user; in internal prototype testing, this approach cut average token usage by 22% per query by eliminating the iterative back-and-forth that drives up cost.If you're deploying AI anywhere, the cost of being wrong, or the cost of every token, is high; this talk will change how you evaluate whether your system is actually efficient and safe, not just capable.

### 4:40 PM–5:00 PM · AGI and the NYT Crosswords
Solo Talk · AI Research Summit (technical) · Venetian Ballroom A
Speakers: Shafik Quoraishee (The New York Times)
Page: https://ai4.com/sessions/agi-and-the-nyt-crosswords/

Artificial Intelligence has achieved remarkable progress in language modeling, reasoning, and problem-solving—yet the New York Times Crossword remains one of the most enduring challenges for even the most capable AI systems. This talk examines how crosswords serve as a fascinating testbed for advancing cognitive flexibility, linguistic reasoning, and multimodal understanding in AI.While massive models trained on terawatts of computation and vast text corpora can summarize articles or generate code, they often falter at the nuanced, context-rich inferences required to solve human word puzzles. The crossword demands something deeper: the ability to interpret puns, cultural references, idioms, and abstract associations—skills that reveal the gap between specialized AI and true general intelligence.Through exploring the way humans effortlessly connect disparate ideas to decode clues, we gain insight into the creative and associative reasoning that current systems still struggle to emulate. Through examples from the New York Times Crossword and its variants, this session will illustrate why such linguistic puzzles can be more than a pastime—the can be a benchmark for measuring progress toward Artificial General Intelligence and for developing APIs and agentic frameworks that move AI closer to genuine cognitive versatility.

### 4:40 PM–5:00 PM · AI Eats the Web That Feeds It
Solo Talk · Marketing & Growth · Marcello Ballroom 4403
Speakers: Peter Sloterdyk (Gist)
Page: https://ai4.com/sessions/ai-eats-the-web-that-feeds-it/

Every AI answer is assembled from someone else's work. The traffic that paid for that work is fading. Small publishers lost roughly 60% of search referrals in two years. AI referrals are nowhere close to replacing them; the ad supply funding the open web is contracting behind it. The AI industry now runs on an unpriced dependency: an information ecosystem it is actively defunding. Anticipate the imminent supply-side collapse underneath AI search. Zoom out from tactics to incentives, to learn the one structural change you'll make in the next 90 days to support a sustainable, reimagined market.

### 4:40 PM–5:00 PM · AI-Driven Productivity, Collaboration, and Product Development
Solo Talk · Software: Productivity & Collaboration · Titian Ballroom 2306
Speakers: Ali Dasdan (Dropbox)
Page: https://ai4.com/sessions/ai-driven-productivity-collaboration-and-product-development/

Artificial intelligence is fundamentally reshaping how knowledge workers collaborate, create, and build software. Productivity applications are evolving into AI-native workspaces where intelligent assistants can summarize meetings, generate content, automate workflows, retrieve organizational knowledge, and help developers write, review, debug, and understand code. Rather than simply responding to commands, modern AI systems are becoming proactive collaborators that anticipate user needs, personalize experiences, and orchestrate work across applications.This transformation extends well beyond chatbots. AI is changing how organizations capture institutional knowledge, coordinate projects, manage information, and develop software. As these capabilities become embedded across productivity suites, communication platforms, developer tools, and enterprise applications, organizations face new challenges around context management, accuracy, security, governance, privacy, and trust.This session explores the technologies, architectures, and product strategies powering the next generation of AI-driven productivity, collaboration, and product development. We’ll examine how retrieval, enterprise knowledge, personalization, coding and operations copilots, workflow automation, and organizational memory combine to deliver intelligent experiences that are accurate, secure, and deeply integrated into everyday work. We’ll also discuss how vendors are rethinking user experience, pricing, and business models as AI becomes a core capability rather than an add-on.Attendees will leave with practical insights into designing AI experiences that improve productivity, accelerate product development, enhance collaboration, and responsibly deploy AI systems that users can trust.

### 4:40 PM–5:00 PM · Autonomous Infrastructure: Building AI Agents for Global-Scale Capacity Efficiency
Solo Talk · Software Engineering · Lando Ballroom 4204
Speakers: Tommy Tran (Meta)
Page: https://ai4.com/sessions/autonomous-infrastructure-building-ai-agents-for-global-scale-capacity-efficienc/

### 4:40 PM–5:00 PM · How Your Data Architecture Determines Token Economics and Agent Trust
Solo Talk · Infrastructure: Data Platforms & Strategy · Titian Ballroom 2302
Speakers: Rahul Pahuja (CData Software)
Page: https://ai4.com/sessions/how-your-data-architecture-determines-token-economics-and-agent-trust/

Most enterprises are running two separate conversations about AIagents. One is what will this cost us. One is can we trust it. Both comedown to the same question: how to serve an agent the right context forthe task, and nothing more. This session argues that designing yourdata architecture for optimal context answers both, using a real tokenbenchmark to show the effect on cost, governance, and accuracy.

### 4:40 PM–5:00 PM · Infrastructure for User Trust
Solo Talk · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Tomer Sabo (Etsy); Beth Sebian (Etsy)
Page: https://ai4.com/sessions/infrastructure-for-user-trust/

User Trust *is* a product. Building and keeping user trust, in the context of AI product development, unlocks new types of user engagement and opens up new opportunities to connect with and create value for customers. User trust is not built and maintained by happenstance. Safeguarding and nurturing it is a systematic process that requires investment in specific technical and organizational infrastructure. We want to share our approach and tactics to making those investments, and how doing so allowed our team to move more quickly, ambitiously, and confidently as we develop AI enabled products for our customers.

### 4:40 PM–5:00 PM · Pipelines, Provenance, and Storage for GenAI Media at Scale
Solo Talk · Generative AI Deployment At Scale · Venetian Ballroom E
Speakers: Jeronimo De Leon (Backblaze)
Page: https://ai4.com/sessions/pipelines-provenance-and-storage-for-genai-media-at-scale/

Generative video, image, and audio are becoming core to a new generation of media products, and a clear architectural blueprint is emerging. The teams that turn this into a durable product capability will own the next decade of generative media. This keynote walks executives and architects through the three layers where the leaders are investing.Pipelines: the normalized job entity that absorbs new providers without rewrites, with parameter normalization, fallback chains, and event-driven storage as the orchestration substrate.Provenance: the trust contract that meets enterprise requirements at the moment regulators are codifying them, with C2PA, lineage, and chain-of-custody anchored to write-once-read-many storage.Storage: the long bet that compounds into a durable cost and capability advantage, with design tactics like content-addressable layouts, lifecycle automation, and zero-egress delivery paths that bend the cost curve by an order of magnitude at petabyte scale.A practical playbook for the asset-centric era of AI.

### 4:40 PM–5:00 PM · RAG, from Theory to Implementation
Solo Talk · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Alaa Moussawi (New York City Council)
Page: https://ai4.com/sessions/rag-from-theory-to-implementation/

Are you curious to see a full deployment, from nuts and bolts (open source) to delivery? This presentation details the design and deployment of a locally hosted, open-source LLM within a government organization, from ordering individual parts and building a server by hand, to developing the software and integrating it into existing systems. It covers LLM fundamentals, an overview of Retrieval-Augmented Generation (RAG), and operational best practices, followed by a practical discussion of secure, on-premises implementation. Attend this talk to see the full picture!

### 4:40 PM–5:00 PM · Rewriting the Infrastructure Playbook: Applying AI Across the Construction Lifecycle
Fireside Chat · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Jason Abbruzzese (NBC News); Dimitris Bountolos (Ferrovial)
Page: https://ai4.com/sessions/rewriting-the-infrastructure-playbook-applying-ai-across-the-construction-lifecy/

The infrastructure industry is at a turning point, as AI begins to reshape how projects are planned, delivered, and maintained–and how next-generation mobility systems are designed.This session will explore how AI is being applied across the full project lifecycle of major infrastructure initiatives, from predictive planning and demand forecasting to real-time visibility and decision-making. The conversation will explore how AI is moving beyond pilots into day-to-day operations and what it takes to integrate these technologies into complex, legacy-heavy environments. Attendees will leave with a clear understanding of how AI is being used on the ground today and how live data is improving safety, efficiency, and overall project performance.

### 4:40 PM–5:00 PM · The Agentic Supply Chain: Orchestrating Data, Decisions, and Dialogue
Solo Talk · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Russell Halper (Insight Kitchen LLC); Anthony Noguera (NVIDIA)
Page: https://ai4.com/sessions/the-agentic-supply-chain-orchestrating-data-decisions-and-dialogue/

Accessing supply chain data is no longer the challenge; turning that access into decisive, optimized action is. In this session, I will be joined by NVIDIA to demonstrate how AI is evolving from a passive reporting tool into an active partner in strategic decision-making. Together, we will walk through a real-world deployment to explore how AI interacting directly with your supply chain transforms the way organizations manage complexity. By enabling intelligent agents to bridge the gap between forecasts, capacity constraints, and disparate data sources, teams can diagnose bottlenecks and simulate solutions with unprecedented speed. Attendees will leave with a clear vision of achievable, next-generation capabilities they can build today—moving beyond simple visibility to create a supply chain that is responsive, integrated, and decision-centric. If you're looking to transform AI from insight into orchestrated action, this session will show you how.

### 4:40 PM–5:00 PM · The Attribution Revolution: Artists, AI, and the Future of Getting Paid
Fireside Chat · Social Impact Of AI · Palazzo Ballroom D
Speakers: Kristen Agee (411 Music Group); Xena Plat (411 Music Group); Matt Adell (Musical AI)
Page: https://ai4.com/sessions/the-attribution-revolution-artists-ai-and-the-future-of-getting-paid/

Generative AI is rewriting the economics of music faster than the industry can agree on the rules - and the real question isn't whether it reshapes the business, but who gets paid when it does. 411 Music Group sits at the center of that question, representing 5,000+ artists and 120 labels worldwide, with active AI-licensing deals and a roster split between artists who've opted in and those who've opted out. Expect a candid look at the technology functioning as a "new PRO" for the AI era - detecting when generated audio draws on your work and routing payment back to rights holders - and at a future where AI doesn't replace human-made music and sync, but personalizes it: real-time, listener-specific soundtracks across film, TV, and gaming.

### 4:40 PM–4:50 PM · The History of Insurance and the Coming Age of Humanoid Robots
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Darien Acosta (Clanker Labs)
Page: https://ai4.com/sessions/the-history-of-insurance-and-the-coming-age-of-humanoid-robots/

Who pays when the machine is wrong? It's a question insurance has answered five times in 160 years — for the steam boiler, the automobile, the aircraft, the power grid, and the networked computer — and each time, the coverage that emerged quietly became the safety standard the technology had to live by. Right now the AI agents running inside your company are losing that coverage as insurers write new exclusions, and the humanoid robots headed for the warehouse floor and the public sidewalk will force the question harder than anything before them. In this talk I'll trace the 160-year pattern that turns every "uninsurable" new machine into an insurable one, and use it to forecast the timeline, the trigger events, and the liability reckoning coming for physical AI. You'll leave able to see the next machine age the way an underwriter does — as a series of predictable, dated events, most of which haven't happened yet. If you build, deploy, insure, or invest in AI, come find out who's really on the hook when the machine gets it wrong.

### 5:00 PM–6:00 PM · AI Research Summit Reception [RSVP REQUIRED]
Meetups & Receptions · Back of Session Room AB
Sponsors: Lightning AI, Wiley
Page: https://ai4.com/sessions/ai-research-summit-reception-rsvp-required/

This event requires an RSVP; to attend, submit form here.Join us for networking with other AI researchers.

### 5:00 PM–6:00 PM · Exhibit Hall Reception
Meetups & Receptions · Halls B&C
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDQwMDQwNw==

## Wednesday, August 5, 2026

### 7:00 AM–8:30 AM · Breakfast Available
Breaks & Meals · Hall D
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDQwMDQwNQ==

### 7:00 AM–6:00 PM · Registration Open
Registration · Venetian Expo Lobby
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDQwMDM5Ng==

### 8:20 AM–10:10 AM · Keynote Sessions
Keynote · Keynote · Hall A - Keynotes
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDQwMDQxMQ==

### 8:26 AM–8:31 AM · The Business of “Why Not?”: A Conversation with Russell Westbrook
Keynote · Keynote · Hall A - Keynotes
Speakers: Russell Westbrook (Russell Westbrook Enterprises)
Page: https://ai4.com/sessions/the-business-of-why-not-a-conversation-with-russell-westbrook/

Russell Westbrook discusses the thinking behind his work across more than 40 companies, what draws him to emerging technology, and why he believes innovation should be judged by what it makes possible for people.

### 8:31 AM–9:32 AM · The Architects of Intelligence: A Historic Convergence
Keynote · Keynote · Hall A - Keynotes
Speakers: Geoffrey Hinton (University of Toronto); Fei-Fei Li (World Labs); Andrew Ng (DeepLearning.AI); Yun-Hee Kim (The Washington Post)
Page: https://ai4.com/sessions/the-architects-of-intelligence-a-historic-convergence/

This panel brings together the most influential figures in artificial intelligence to compare and contrast their views and to discuss our collective future.

### 9:33 AM–9:51 AM · The AI Gap: Turning AI Capability into Outcomes
Keynote · Keynote · Hall A - Keynotes
Speakers: Ryan Donovan (Stack Overflow); Srini Venkatesan (PayPal)
Page: https://ai4.com/sessions/the-ai-gap-turning-ai-capability-into-outcomes/

AI capability is at an all-time high, but for most organizations, the hardest problem isn't getting access to it — it's turning that power into tangible business outcomes. That gap between AI's potential and real-world impact is the last mile, and closing it is entirely about removing friction, not adding features. Join Ryan Donovan, host of the Stack Overflow Podcast, in a fireside chat with Srini Venkatesan, CTO of PayPal, for a practical look at how PayPal absorbs that complexity on merchants' behalf and in doing so, transforms how everyday businesses operate, compete, and grow.

### 9:52 AM–10:10 AM · Agents, Infrastructure, and the Future of AI-native Applications
Keynote · Keynote · Hall A - Keynotes
Speakers: Kevin Cochrane (Vultr)
Page: https://ai4.com/sessions/agents-infrastructure-and-the-future-of-ai-native-applications/

Every application ever built needs to be rebuilt - with agentic AI at the core. Moving from cloud-native to ai-native means a new architecture for unlocking enterprise data to safely, securely deliver personalized experiences and services at scale.And delivering business outcomes requires delivering those experiences to employees and customers globally, wherever they live and work.To build the Agentic Enterprise, enterprises need to rethink their infrastructure strategy, own their data, and own their AI stack.In this session, we’ll explore a new infrastructure approach to unlock enterprise AI - and how agents can help.

### 10:15 AM–6:00 PM · Exhibit Hall Open
Exhibit Hall · Halls B&C
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDQwMDM5OQ==

### 10:15 AM–6:00 PM · Experience Tesla at Ai4 2026
Exhibit Hall · Halls B&C
Page: https://ai4.com/sessions/experience-tesla-at-ai4-2026/

Meet the latest Tesla vehicle lineup and experience Full Self-Driving (Supervised) for yourself. Tesla Advisors will be available to answer any questions you have about our latest innovations and the Tesla ownership journey.Reserve you demo drive slot here or visit the Tesla booth to learn more.

### 10:30 AM–11:20 AM · "Who's Accountable When AI Decides and When It Fails?" Roundtable Moderated by Ron Whitworth, Truist [RSVP REQUIRED]
Roundtable · Roundtable · Room 305
Speakers: Ron Whitworth (Truist)
Page: https://ai4.com/sessions/who-s-accountable-when-ai-decides-and-when-it-fails-roundtable-moderated-by-ron/

As AI is increasingly leveraged to make high stakes decisions, who is accountable when it gets it wrong-and are we ready to respond when it does? Automated decision-making now carries obligations around transparency, oversight, and consumer rights, while a new category of risk-the AI incident-is emerging that many organizations have never formally managed. In this roundtable, I will lead a peer discussion about these emerging requirements and talk through considerations when operationalizing them. Join me to benchmark with your peers, pressure test your own approach and leave with some practical tips.This event requires an RSVP; to attend, submit form here

### 10:30 AM–10:50 AM · A2UI: Build Dynamic Apps with Generative UI
Solo Talk · Google Cloud Programming · Bellini Ballroom 2104
Speakers: Khanh Nguyen (Google Cloud); Terrence Ryan (Google Cloud); Christina Zhu (Google Cloud)
Page: https://ai4.com/sessions/a2ui-build-dynamic-apps-with-generative-ui/

Build UI that’s as dynamic, expressive, and personal as the agents that power your experiences using Flutter’s GenUI.

### 10:30 AM–11:15 AM · AI for the Public Good: AI Use in the Public Sector
Panel Session · Government & Public Sector · Palazzo Ballroom B
Speakers: Roman Jankowski (Department of Homeland Security); Robert Fulk (State of Indiana); Jacob Bogage (Reuters); Christian Napier (Utah Division of Technology Services); Roman Jankowski (US Department of Homeland Security)
Page: https://ai4.com/sessions/ai-for-the-public-good-ai-use-in-the-public-sector/

Public sector leaders are under pressure to do more with less—and AI is quickly becoming part of the toolkit. This panel features leaders who are piloting and scaling AI to serve communities more effectively. We'll cover real deployments in fraud detection, resource planning, and public service delivery—and examine how agencies are balancing innovation with fairness, privacy, and accountability mandates.

### 10:30 AM–11:15 AM · AI Powered Product Management
Panel Session · Product Management · Palazzo Ballroom L
Speakers: Rohan Suri (Nooks); Natalie Barnes (Zumba); Amir Emadzadeh (Meta); Chika Anajemba (Citi); Saurav Gupta (Eli Lilly & Company)
Page: https://ai4.com/sessions/ai-powered-product-management/

AI is quickly becoming an indispensable tool in the product manager’s toolkit—not for replacing strategic vision, but for amplifying it. This panel will explore how PMs can use AI as end users to accelerate market research, generate customer insights, draft requirements, and even prototype ideas before handing them to design and engineering. Panelists will share real-world examples of leveraging generative AI for user story creation, clustering customer feedback, and producing creative variations of product concepts. The conversation will highlight where AI meaningfully speeds up product work, and where human intuition and leadership remain irreplaceable. Attendees will leave with a practical playbook for how to make AI a true co-pilot in the product management process.

### 10:30 AM–11:10 AM · Beneficial AGI: The Path the Frontier Labs Are Missing
Solo Talk · AI Research Summit (technical) · Venetian Ballroom A
Speakers: Ben Goertzel (Singularity NET and BGI Labs)
Page: https://ai4.com/sessions/beneficial-agi-the-path-the-frontier-labs-are-missing/

The dominant AGI narrative centers on a handful of frontier labs racing to scale ever-larger models. But as compute-to-capability gains flatten, a different path is emerging, one built on hybrid neural-symbolic-evolutionary architecture, decentralized infrastructure, and open governance rather than concentrated scale.In this session, Ben Goertzel, an AGI researcher for over two decades and founder of SingularityNET and BGI Labs, discusses how the frontier labs' scale-first approach may be solving the wrong problem. He makes the case that genuine general intelligence requires multiple forms of cognition working together—reasoning, memory, and autonomous agency—not just bigger training runs.The talk also explores why how AGI is governed may matter as much as how it's built, and why open, decentralized alternatives may offer a more resilient path forward. Attendees will leave with a sharper framework for evaluating competing AGI strategies.

### 10:30 AM–11:15 AM · Deploying AI Agents for the Real World
Panel Session · AI Agents (technical) · Veronese Ballroom 2504
Speakers: Waqas Makhdum (Nebius); Serg Masis (Syngenta); Rahul Zende (Navy Federal Credit Union); Ram Kumar Nimmakayala (Western Governors University); Simba Khadder (Redis)
Page: https://ai4.com/sessions/deploying-ai-agents-for-the-real-world/

This panel explores the technical foundations and deployment challenges of AI agents capable of navigating real-world environments. Hear from engineers and researchers who have developed agents for enterprise workflows, robotics, and dynamic simulations. We’ll cover agent memory, goal-setting, and coordination across multiple agents, plus the systems required to evaluate and evolve them over time. Panelists will discuss real-life implementation constraints and offer practical takeaways on integrating agent-based systems into production pipelines.

### 10:30 AM–11:15 AM · Designing with Intelligence — How AI is Rewriting the Product Design Process
Panel Session · Product Design · Marcello Ballroom 4403
Speakers: Jordan Cooke (PepsiCo); Federico Casalegno (Samsung Electronics); Jeff Erno (Dassault Systèmes); Grace Engels (Ameriprise Financial)
Page: https://ai4.com/sessions/designing-with-intelligence-how-ai-is-rewriting-the-product-design-process/

AI is no longer just a tool for efficiency—it’s reshaping the creative process itself. This panel brings together design leaders who are using AI to generate concepts, accelerate prototyping, and deliver highly personalized user experiences. Panelists will share how they balance human creativity with machine intelligence, what tools are driving the biggest shifts, and how AI is changing collaboration between designers, engineers, and product managers. Walk away with a practical understanding of how AI is enhancing product design today—and where it’s headed next.

### 10:30 AM–11:15 AM · Engineering the Infrastructure Stack for Enterprise-Scale Agents
Panel Session · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Lu Zhang (Fusion Fund); David Casem (Telnyx); Ilya Kirnos (SignalFire); Mark McNeill (OneSource Cloud); Hok Hei Tam (Montai Therapeutics)
Page: https://ai4.com/sessions/engineering-the-infrastructure-stack-for-enterprise-scale-agents/

AI agents bring new levels of autonomy, but also new infrastructure complexity. This panel unpacks how leading organizations are designing and adopting robust infrastructure stacks specifically for agentic workloads. From compute and hardware to databases and memory layers to software and orchestration layers, panelists will share the building blocks that support scalable, secure, and observable agent use cases. They’ll also explore strategies for integrating agent frameworks with existing cloud and compute systems, balancing innovation with reliability. Whether you’re scaling customer support agents or internal copilots, this session offers an inside look at the technical foundations powering the next wave of enterprise AI.

### 10:30 AM–10:50 AM · Everyone's a Builder Now. Is Anyone Watching?
Solo Talk · Oversight: AI Explainability Governance & Model Risk · Titian Ballroom 2306
Speakers: Rosie Halpin (Tines)
Page: https://ai4.com/sessions/everyone-s-a-builder-now-is-anyone-watching/

The commoditization of building via AI-assisted platforms or AI coding agents (Claude Code, Codex, etc.) is solving problems across the business faster than ever before. One team's productivity gain is another team's blind spot. Often companies are spinning off ICs into AI councils and governing bodies, which solves part of the problem – helping people deploy their work more safely. It still lacks scale. How do you build a lasting model for this new world? What considerations do you need to make?Where do you trust the LLM vendor vs. a third party?Join Rosie Halpin, Product Manager at Tines, as she talks through what Tines learned in their journey to power the world’s most important workflows. She’ll share how our customers led them to rebuild their software from the ground up to address our mission in the context of an AI-native workforce.

### 10:30 AM–11:15 AM · Farming Smarter: AI’s Role in Feeding the Future
Panel Session · Food & Agriculture · Palazzo Ballroom E
Speakers: Evan Harrison (Kiss The Ground); Ryan Rapp (Terrana Biosciences); Hoda Helmi (Corteva Agriscience)
Page: https://ai4.com/sessions/farming-smarter-ai-s-role-in-feeding-the-future/

From drones to data models, AI is changing how food is grown and moved. In this panel, leaders from agriculture, CPG, and logistics explore how AI is enabling sustainable, profitable operations across the food value chain. Learn how growers are using machine learning to monitor soil health, how producers are using AI to cut waste, and how tech is making global food systems more resilient.

### 10:30 AM–11:15 AM · From Blueprint to Build: AI in the Construction Lifecycle
Panel Session · Architecture Engineering & Construction (AEC) · Titian Ballroom 2302
Speakers: Shane Snider (DCK); Amit Sinha (TRC Companies); Patrick Murphy (Coastal Construction); Jeff Miller (Clayco)
Page: https://ai4.com/sessions/from-blueprint-to-build-ai-in-the-construction-lifecycle/

What happens when AI takes the wheel from planning to post-construction? This panel brings together leaders in AEC who are deploying AI across design, logistics, site operations, and building performance. Learn how firms are using AI for design optimization, predicting material shortages, preventing on-site incidents, and achieving operational efficiency across major projects. Panelists will also discuss hurdles around data standardization and cultural resistance as well as share lessons on scaling AI adoption in one of the most risk-averse industries.

### 10:30 AM–11:15 AM · How AI Startups and VCs are Building the Future of Industry
Panel Session · AI Startups & VCs · Venetian Ballroom G
Speakers: Grace Gong (Smart Venture Media); Mike Montano (True Ventures); Shan Reddy (Aristotle)
Page: https://ai4.com/sessions/how-ai-startups-and-vcs-are-building-the-future-of-industry/

The AI era is reshaping every industry, and the most ambitious startups—backed by forward-looking investors—are at the center of that transformation. This session brings together pairs of founders and their VCs for a candid conversation on how they’re tackling big problems, scaling in competitive markets, and navigating the unique challenges of building AI-first companies. Panelists will share perspectives on where the biggest opportunities lie, how to balance speed with responsibility, and what it takes to create enduring value in a rapidly evolving landscape. Expect an insider’s look at how entrepreneurs and investors are partnering to shape the next wave of industry leaders in the age of AI.

### 10:30 AM–11:15 AM · Identifying High-ROI AI Agent Use Cases and Taking Action
Panel Session · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Lin Yuan (Newfront Insurance (now part of WTW)); Bhaskar Borah (Dow Jones); Devin Stevens (Scrunch); Jonathan Shieber (Resilience Media); Muthu Sabarethinam (MiniMed)
Page: https://ai4.com/sessions/identifying-high-roi-ai-agent-use-cases-and-taking-action/

Successfully deploying AI agents begins with identifying the highest impact opportunities within your organization. This panel will explore proven methodologies for pinpointing use cases with maximum return on investment. Experts will discuss frameworks for evaluating business readiness, quantifying potential benefits, and rapidly testing AI agent solutions in real-world scenarios. Gain practical advice on how to transition quickly from identifying opportunities to implementation, ensuring your AI initiatives deliver measurable value and strategic advantage.

### 10:30 AM–11:15 AM · Overhauling Traditional IT Systems for the AI Era
Panel Session · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Sani Ronen (DriveNets); Billy Boozer (Dualboot Partners); Lilian Ajayi Ore (Columbia University); Jesse Sanders (Clayco); Josh Olson (Michigan Technology University)
Page: https://ai4.com/sessions/overhauling-traditional-it-systems-for-the-ai-era/

Legacy IT systems were not designed with AI in mind—yet they still power critical enterprise functions. This panel will explore how IT leaders are modernizing legacy infrastructure to support AI workloads, from upgrading data pipelines and storage to rethinking networking, middleware, and governance layers. Panelists will discuss approaches to phasing out outdated systems, bridging old and new technologies, and ensuring business continuity during large-scale modernization efforts. Expect candid lessons on budget allocation, organizational change management, and vendor selection. Learn how enterprises are re-architecting their IT foundations to stay competitive in an AI-first world.

### 10:30 AM–11:15 AM · Predictive Maintenance & Equipment Health — Keeping Manufacturing Running with AI
Panel Session · Manufacturing · Titian Ballroom 2304
Speakers: Prashant Kumar Bothra (Woven Capital); Amish Chadha (Kimberly-Clark); Dmitry Belov (BlueScope); Amir Pasdar (Henny Penny Corp)
Page: https://ai4.com/sessions/predictive-maintenance-and-equipment-health-keeping-manufacturing-running-with-a/

Unplanned downtime is one of the costliest problems in manufacturing, and AI is rapidly transforming how plants manage equipment health. This panel will explore how leading manufacturers are using machine learning, IoT sensor data, and real-time monitoring to predict failures before they happen and extend asset life cycles. Panelists will discuss how to integrate predictive maintenance solutions with existing systems, balance accuracy with cost, and build trust with operators and engineers on the factory floor. The conversation will also highlight the vendor landscape—from turnkey platforms to custom AI deployments—and the ROI frameworks that prove value to leadership. Attendees will walk away with a clear understanding of how AI-driven maintenance strategies reduce downtime, improve safety, and unlock resilience across operations.

### 10:30 AM–11:15 AM · Redefining Risk & Compliance in the Age of AI
Panel Session · Risk & Compliance · Bellini Ballroom 2102
Speakers: Rajan Koo (DTEX); Irene Levintov (University of California, Office of the President); Alex Chan (Prudential Financial); Sanchita Chanda (JPMorganChase); Alex Bovee (C1)
Page: https://ai4.com/sessions/redefining-risk-and-compliance-in-the-age-of-ai/

AI is reshaping both the tools risk and compliance teams use and the very nature of the risks they face. This panel will explore how compliance leaders are adopting AI to monitor transactions, automate reporting, and detect anomalies in real time, while also grappling with new categories of AI risk—from biased models to adversarial manipulation. Panelists will discuss what it means for compliance officers to become AI end users, how job functions are evolving, and how enterprises are preparing governance frameworks for a world where risk itself is amplified by AI. Walk away with a holistic understanding of how AI is changing risk and compliance—both as a solution and as a challenge.

### 10:30 AM–11:15 AM · Redesigning Workflows and Driving Change Management for Agentic AI
Panel Session · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Jill Hosmer-Jolley (California State University Monterey Bay); Ralph Valdes (Zumba); Carlin Power (JLL); Max Ushchenko (NIX); Mahe Bayireddi (Phenom)
Page: https://ai4.com/sessions/redesigning-workflows-and-driving-change-management-for-agentic-ai/

Agentic AI reshapes how work gets done. This panel explores how enterprises are re-architecting workflows to integrate autonomous agents, from front-office operations to back-office processes. Panelists will highlight how to identify the right use cases, redesign cross-functional processes, and redefine employee roles to ensure smooth adoption. The discussion will also cover change management strategies, including leadership alignment, workforce training, and cultural adjustments, that enable agentic AI to be embraced across the enterprise.

### 10:30 AM–11:15 AM · ROI in Action: Case Studies of Profitable AI Deployments
Panel Session · Oversight: AI ROI · Palazzo Ballroom D
Speakers: Nithin Ramachandran (Cargill); Songyee Yoon (Principal Venture Partners); Steven Birgfeld (Blue Diamond Growers); Reza Forghani (AdventHealth); Jason Cumberland (Revenium)
Page: https://ai4.com/sessions/roi-in-action-case-studies-of-profitable-ai-deployments/

What does real AI ROI look like in practice? This panel brings together executives who have successfully delivered profitable AI deployments across diverse business problems and industries. From cost reduction in operations to revenue growth in customer-facing functions, panelists will share candid stories about where AI has delivered measurable returns, and where it has fallen short. Learn about the common traits of successful use cases, the pitfalls to avoid, and the lessons that can help your organization replicate ROI at scale.

### 10:30 AM–11:15 AM · Smarter Banking: Real-World AI Driving Value
Panel Session · Financial Services Banks · Lando Ballroom 4204
Speakers: Mo Jamous (Former U.S. Bank); Young Pham (CI&T); Nathan Bomey (Axios); Olga Ceja (Grupo Financiero Banorte)
Page: https://ai4.com/sessions/smarter-banking-real-world-ai-driving-value/

Banks are no longer asking if they should use AI, but where it brings the most value. This panel dives into front-to-back use cases across the banking stack. Learn how leading institutions are deploying AI to catch fraud faster, serve customers better, and manage risk more proactively. Walk away with tactical insights on what’s working, what’s hype, and what’s next.

### 10:30 AM–11:15 AM · Strategic Approaches to Scaling Generative AI Across the Enterprise
Panel Session · Generative AI Deployment At Scale · Venetian Ballroom E
Speakers: Quinn Favret (Tavus); David Wang (Tetrate.io); Peter McCaffrey (The University of Texas Medical Branch); Kate Park (TechCrunch); Brian Carlson (Sodexo)
Page: https://ai4.com/sessions/strategic-approaches-to-scaling-generative-ai-across-the-enterprise/

Scaling generative AI such as LLMs and multimodal AI from POC to enterprise-wide deployment requires not just technical readiness, but strategic vision. This session will focus on the broader organizational challenges and opportunities of integrating AI at scale. Panelists will discuss theories, best practices, and innovative approaches to embedding AI systems across business units to drive value. Explore how companies are navigating cross-functional alignment, ensuring leadership buy-in, and fostering a culture that supports widespread AI adoption. Learn about the strategic frameworks that can maximize the impact of generative AI on a large scale.

### 10:30 AM–11:15 AM · The Agentic Defense System: AI-Powered Detection and Response
Panel Session · Cybersecurity · Marcello Ballroom 4404
Speakers: Richard Stiennon (IT-HARVEST); Guman Chauhan (State of California); Sreenath Kurupati (Straiker); Ed Cartagena (Menlo Security)
Page: https://ai4.com/sessions/the-agentic-defense-system-ai-powered-detection-and-response/

Cybersecurity teams and their defense infrastructure, whether fully in-house or managed by outsourced partners, are under constant pressure to handle a flood of alerts, sprawling attack surfaces, and limited staff. Artificial intelligence promises to transform our collective cyber defenses from reactive to proactive. By deploying specialized AI agents, organizations are automating triage, accelerating complex investigations, and executing autonomous, real-time responses. This panel will examine how leading organizations are weaving AI agents throughout their software stacks and human workflows to create a next-generation, agent-powered cybersecurity landscape. Panelists will share real-world results, discuss how to balance this new wave of automation with human oversight, and explore the cutting-edge tools that make an autonomous, agentic defense system possible.

### 10:30 AM–10:50 AM · The Cloud Playbook Was Written Before AI: Building Infrastructure That Delivers AI at Scale
Solo Talk · Infrastructure: Cloud Data Centers & Compute · Lando Ballroom 4203
Speakers: Jayakumar Ramalingam (SiriusXM)
Page: https://ai4.com/sessions/the-cloud-playbook-was-written-before-ai-building-infrastructure-that-delivers-a/

Most enterprise cloud strategies were designed for predictable applications—not probabilistic AI systems that consume dynamic data, take autonomous actions, and create difficult to forecast costs. This talk will explain why those traditional assumptions must change as organizations move AI from experimentation into production. I will introduce five practical principles covering strategy alignment, workload placement, application and data modernization, platform thinking, and operational resilience. Attendees will learn how business outcomes, data constraints, operating cost, reliability, and security should shape architecture decisions. Join this session to leave with a practical framework for determining whether your cloud strategy is truly ready to deliver AI at scale.

### 10:30 AM–11:15 AM · The Orchestration Layer: Coordinating Models, Tools, and Workflows
Panel Session · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Rafi Khardalian (Actualyze AI); Nirmal Jingar (Wayfair); Vijay Narasimhan (M Ventures); Ajay Swamy (JPMorganChase | FundLens.ai); Allen Badeau (DigitalNet.ai)
Page: https://ai4.com/sessions/the-orchestration-layer-coordinating-models-tools-and-workflows/

As enterprises scale their AI programs, orchestration has become the critical control plane for managing complexity. This panel will cover how orchestration frameworks handle task routing, state management, workflow sequencing, and integration with a growing ecosystem of tools. Panelists will compare approaches, from open-source frameworks like LangChain, Haystack, and Ray Serve, to enterprise-grade middleware and cloud-native orchestration services. Key themes will include workflow reliability, modularity, extensibility, and guardrail enforcement, as well as how orchestration connects AI systems with APIs, data pipelines, and business processes. Learn what capabilities matter most in choosing an orchestration strategy, and how cutting-edge platforms are evolving into the “operating system” for enterprise AI.

### 10:30 AM–11:15 AM · The State of Computer Vision: Tracking, Detection, and Understanding in 2026
Panel Session · Vision Spatial & World Models (technical) · Delfino Ballroom 4103
Speakers: Vasu Sharma (PocketFM); Roy Lim (Robotemi Global Ltd.); Kunal Sonalkar (Nordstrom); Brian Merchant (Blood in the Machine); Aura Yavary (UC Davis)
Page: https://ai4.com/sessions/the-state-of-computer-vision-tracking-detection-and-understanding-in-2026/

Computer vision continues to evolve at remarkable speed, with breakthroughs in detection, tracking, and spatial understanding powering everything from industrial automation to robotics and AR. This session brings together researchers and engineers at the forefront of vision innovation to explore the latest techniques—object tracking, segmentation, scene reconstruction, and multimodal vision models—and how they’re being deployed in real-world systems. Panelists will discuss advances in foundation models for vision, improvements in data efficiency, and the fusion of visual understanding with language and motion. Expect a deep dive into both the algorithms and infrastructure that are redefining how AI perceives and interprets the world, and gain practical insight into how these tools are being applied in autonomous systems, manufacturing, logistics, and interactive media.

### 10:30 AM–10:50 AM · Why Agentic AI Dies in Pilot: A GTM Leader's Framework for Real ROI
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Jonathan Kvarfordt (1mind)
Page: https://ai4.com/sessions/why-agentic-ai-dies-in-pilot-a-gtm-leader-s-framework-for-real-roi/

Most go-to-market teams buy agentic AI before they have defined what it is supposed to fix. Industry research puts the failure rate of AI initiatives as high as 70 to 85 percent, and the reasons are almost never technical. This session hands revenue and marketing leaders the foundation that separates the projects that pay off from the ones that quietly die in pilot: a business target your board will fund, an honest map of where the buyer journey leaks revenue today, and a method for matching agentic capability to the moments that actually move the number. You will leave with the OAR framework used to take a GTM org from "we bought some tools" to measurable return, drawn from the same playbook behind 100 Superhumans running live across 70+ brands.What you will leave with:1) A way to set an agentic AI target your board will actually fund, tied to revenue, cost, or risk, with a deadline attached.2) The OAR model for sorting use cases into Optimize, Amplify, and Reinvent, so you start where the payoff comes fastest.3) A pilot-to-scale sequence that dodges the three reasons initiatives fail: tech-first thinking, messy data, and no change management.4) A candid read on the metrics that shift once agentic AI works, including why fewer meetings can mean more pipeline.

### 10:55 AM–11:15 AM · Agent Building on Google Cloud
Solo Talk · Google Cloud Programming · Bellini Ballroom 2104
Speakers: Terrence Ryan (Google Cloud)
Page: https://ai4.com/sessions/agent-building-on-google-cloud/

Learn the "how" of scaling: building AI agents that can handle millions of interactions while maintaining peak performance. We will explore how organizations are accelerating the journey from prototype to global production—moving from AI that just answers questions to agents that take real-time action. We’ll share strategies for managing the entire agent lifecycle and ensuring your data and systems grow seamlessly alongside your business.

### 10:55 AM–11:15 AM · Cradle to Capital: Sustainable GPU Financing Through Lifecycle Management
Solo Talk · Infrastructure: Cloud Data Centers & Compute · Lando Ballroom 4203
Speakers: Ben Cartwright (Cirkadis)
Page: https://ai4.com/sessions/cradle-to-capital-sustainable-gpu-financing-through-lifecycle-management/

AI hardware and GPUs are driving up spending and changing the way the IT hardware market works. Neoclouds and others who need large build-outs face some difficult realities when looking for financing. This presentation will introduce the latest solutions that Cirkadis offers and how they can facilitate transactions, mitigate risk for lenders, and free up more capital for future investments. By the end of the presentation, you'll know why Cirkadis might be the most important company at this show.

### 10:55 AM–11:15 AM · Enterprise AI Transformation: Turning Strategy into Business Value
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Ashit Talukder (S&P Global)
Page: https://ai4.com/sessions/enterprise-ai-transformation-turning-strategy-into-business-value/

AI is no longer just a technology initiative; it is becoming a strategic transformation agenda for the enterprise. This talk will explore how organizations can move from AI ambition and experimentation to scaled enterprise capabilities that deliver measurable business value. The talk will include a practical strategy for aligning AI vision, business priorities, data transformation, AI-native workflows, production platforms, governance, and adoption into a cohesive enterprise operating model. I will explain why many AI and agentic AI initiatives stall after pilots, and how enterprises can overcome these barriers by redesigning workflows, transforming enterprise assets into AI-consumable services, and managing context, memory, and agents at scale. The session will illustrate how leaders can connect AI investments directly to ROI, productivity, innovation, risk reduction, and competitive advantage. Attend this talk to learn how to turn enterprise AI strategy into scalable transformation and durable business value.

### 10:55 AM–11:15 AM · From Principles to Proof: Measuring Trust in GenAI and Agentic AI
Solo Talk · Oversight: AI Explainability Governance & Model Risk · Titian Ballroom 2306
Speakers: Shub Agarwal (University of Southern California & GoodRx)
Page: https://ai4.com/sessions/from-principles-to-proof-measuring-trust-in-genai-and-agentic-ai/

What if you could measure the trustworthiness of an AI system the same way you audit financial controls? As GenAI and autonomous agents move from pilots into production, "responsible AI" too often stops at principles — leaving teams without a concrete way to prove a system is safe before it ships. This talk introduces a measurable approach to AI trust and safety, drawing on an 8-pillar, 93-test evaluation framework aligned to NIST AI RMF, the EU AI Act, OWASP, and ISO 42001, plus an emerging "SOC 2 for agents" certification model. Attendees will leave with a practical scorecard for evaluating GenAI and agentic systems, the metrics that matter most for enterprise deployment, and a clear view of where trust becomes a competitive advantage rather than a checkbox. If you're responsible for getting AI into production safely — and proving it — this session gives you the language and the tools to do it.

### 10:55 AM–11:45 AM · Women in AI Roundtable Moderated by Tiffany Benitez [RSVP REQUIRED]
Roundtable · Roundtable · Room 310
Speakers: Tiffany Benitez (Compass Group USA)
Page: https://ai4.com/sessions/women-in-ai-roundtable-moderated-by-tiffany-benitez-rsvp-required/

This event requires an RSVP; to attend, submit form hereI am going to facilitate the Women in AI Roundtable that will cover how AI is reshaping how organizations make decisions, innovate, create value, and women have a critical role to play in shaping its future. As AI adoption accelerates across industries, understanding how to leverage data and AI responsibly and effectively has become an essential leadership skill. In this interactive roundtable, participants will explore emerging trends in data and AI, discuss real-world opportunities and challenges, and share perspectives on building influence and impact in a rapidly evolving landscape. Attendees will gain practical insights on AI applications, data-driven decision-making, and strategies for advancing their careers while helping to foster inclusive innovation. Join us to connect with peers, exchange ideas, and leave inspired with actionable insights and valuable professional connections.

### 11:20 AM–11:40 AM · AI Agents You Can Actually Trust: Platform Best Practices for Safe AI
Solo Talk · AI Agents (technical) · Veronese Ballroom 2504
Speakers: Sawyer Bowerman (Red Hat)
Page: https://ai4.com/sessions/ai-agents-you-can-actually-trust-platform-best-practices-for-safe-ai/

Your AI agent works in testing. In production, it makes unpredictable calls and breaks things. Four platform practices make agents safe: isolation, Identity, Observability, and Governance. This talk shows how to add them, and why infrastructure, not just prompting, is how you control AI at scale.

### 11:20 AM–11:40 AM · AI Leadership: The New Journey
Solo Talk · Food & Agriculture · Palazzo Ballroom E
Speakers: Ilai Soloducho (Strauss Group)
Page: https://ai4.com/sessions/ai-leadership-the-new-journey/

With AI adoption at an all-time high, why does transformative business value remain so elusive at scale? While it is tempting to focus solely on the technology, I will explain why the true challenge of AI integration in the food and beverage sector lies in the human process and organizational psychology. This talk will illustrate how to navigate the complex emotional landscape of AI adoption—moving from fear and anxiety to joy and trust. I will share practical frameworks for upskilling teams, preserving what works, filtering out impactless noise, and ensuring every initiative delivers measurable ROI. Join me to learn how to prepare your organization for the new journey of AI leadership and turn early quick wins into long-term strategic evolution.

### 11:20 AM–11:40 AM · Can AI Finally Break Construction’s Safety Plateau?
Solo Talk · Architecture Engineering & Construction (AEC) · Titian Ballroom 2302
Speakers: Mostafa Namian (East Carolina University)
Page: https://ai4.com/sessions/can-ai-finally-break-construction-s-safety-plateau/

Construction safety performance has plateaued over the past several decades and, in some areas, has even worsened despite continuous investments in regulations, training, technology, and prevention programs. Many traditional safety efforts appear to have reached their limits, creating an urgent need for fundamentally different approaches. With the emergence of artificial intelligence, new opportunities are arising to address persistent barriers through personalized and more engaging safety training, real-time translation, affordable safety support for small businesses, and automated safety inspections. This talk will illustrate how AI can expand access to safety knowledge, improve hazard recognition, strengthen decision-making, and support more proactive interventions. Attend this session to discover how AI can help break through decades of stalled progress and redefine what is possible in construction safety.

### 11:20 AM–11:40 AM · Closing the Sim2Real Gap with Living Drone Imagery
Solo Talk · Vision Spatial & World Models (technical) · Delfino Ballroom 4103
Speakers: Bill Lakeland (Spexi)
Page: https://ai4.com/sessions/closing-the-sim2real-gap-with-living-drone-imagery/

One of the next major bottlenecks in Physical AI isn’t model architecture, it’s access to a living and geometrically accurate representation of the real world. This session explores why closing the sim-to-real gap requires foundational aerial data with three essential characteristics: ultra-high resolution, continuous refresh, and consistent quality at scale. Learn why these attributes are becoming critical for training world models and how a distributed network of more than 10,000 drone pilots can deliver them where satellites and traditional aerial imagery cannot, and see how this approach is already helping train Niantic Spatial’s foundation models.

### 11:20 AM–11:30 AM · Decision Intelligence - Analytics to Action
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Hershey Khan (Ignite AI LLC)
Page: https://ai4.com/sessions/decision-intelligence-analytics-to-action/

What if your AI could answer a business question as well as your best analyst—and show you how it got there? Organizations have more data than ever, yet decisions still get held up by stale dashboards, conflicting definitions, and waiting for someone to pull the right numbers. I’ll explore why analytics alone isn’t the finish line, and what it takes to turn trusted data and business context into confident action for both people and AI. I’ll show how creating a shared, verified understanding of an organization’s data can lead to faster answers, better decisions, and AI recommendations grounded in real business context rather than guesswork. Attendees will leave with a practical way to identify where their own data-to-decision process breaks down and a clearer understanding of what Decision Intelligence looks like in practice. Join me to explore what happens when analytics stops being the end result and starts driving what happens next.

### 11:20 AM–11:40 AM · Fireside Chat with Jahanvi Sardana, Index
Fireside Chat · Infrastructure: Cloud Data Centers & Compute · Lando Ballroom 4203
Speakers: Jahanvi Sardana (Index); Ben Bergman (Business Insider)
Page: https://ai4.com/sessions/fireside-chat-with-jahanvi-sardana-index/

### 11:20 AM–11:40 AM · How Not to Blow Up: Training a 400B MoE to 17T Tokens Without Loss Spikes - Presentation by Lucas Atkins, Arcee
Solo Talk · AI Research Summit (technical) · Venetian Ballroom A
Speakers: Lucas Atkins (Arcee)
Page: https://ai4.com/sessions/how-not-to-blow-up-training-a-400b-moe-to-17t-tokens-without-loss-spikes-present/

LLM progress now depends heavily on one practical issue: training stability at scale. Sparse Mixture-of-Experts (MoE) models are especially sensitive, since routing drift can overload experts, collapse utilization, and stall learning.In this talk, I will share an "anti-loss-spike" playbook from a recent open-weight run: a 400B-parameter MoE with 13B active parameters per token, trained for 17T tokens with an unsmoothed loss curve and zero loss spikes. I will start with the failure pattern we saw, router drift, overload, MaxVio divergence, and plateau, then cover the fixes that restored steady convergence: bounded and momentum expert-bias updates (SMEBU), z-loss for logit stabilization, a precision fallback from MXFP8 to BF16, better balancing objectives, and data/packing choices that reduced step-to-step variance.You will leave with a concrete checklist for stability instrumentation and first-response fixes to keep large open-weight runs on track.

### 11:20 AM–11:40 AM · Modernizing the SDLC with Agentic AI
Solo Talk · Oversight: AI ROI · Palazzo Ballroom D
Speakers: Liam Allan (IBM); Venkat Venkatesan (EY)
Page: https://ai4.com/sessions/modernizing-the-sdlc-with-agentic-ai/

Enterprises have spent the past two years experimenting with AI coding tools. Now the mandate has shifted from speeding up snippets to realizing governed, enterprise-scale transformation. In this session, we explore how IBM Bob, an AI-powered SDLC partner, transforms application modernization into a streamlined, automated, and scalable process. Going beyond traditional code assistants, you need a partner that analyzes entire codebases, generates modernization strategies, and validates outcomes with built-in governance and testing.Join us for a fireside chat with Venkat Venkatesan, Managing Director for Platforms, Products & AI at EY, as she shares EY's experience leveraging IBM Bob to accelerate application modernization and drive business transformation at scale.We will walk through a full modernization journey. Give insights into how an agentic AI approach can reduce modernization timelines from months to days, improve code quality, and drive enterprise transformation at scale.

### 11:20 AM–11:40 AM · Move Fast and Don’t Break Things
Solo Talk · Oversight: AI Explainability Governance & Model Risk · Titian Ballroom 2306
Speakers: Art Gilliland (Delinea)
Page: https://ai4.com/sessions/move-fast-and-don-t-break-things/

Every enterprise wants to move faster with AI, but most governance programs slow that down because they were built for humans, not machines. AI agents act in milliseconds, often with more access than any single task requires, and most governance programs lose sight of what they’re doing once they’re running. Companies often feel forced into a false choice: lock AI down and slow the business or move fast and lose control. The companies pulling ahead rejected that trade-off entirely. They rebuilt their controls to match the speed of AI, getting more agents into production faster, with a complete record of every action to back it up. This session shows how, and what becomes possible when authorization stops being a policy you set once and starts keeping pace with every decision your AI makes.

### 11:20 AM–11:40 AM · Policy as Product: Building Compliance at AI Speed
Solo Talk · Risk & Compliance · Bellini Ballroom 2102
Speakers: Alexandria de Aranzeta (Boeing)
Page: https://ai4.com/sessions/policy-as-product-building-compliance-at-ai-speed/

What if your policy had an adoption rate? Keeping pace with AI demands a shift from a reactive way of working to an entirely different operating system. This talk will trace a phased roadmap for policy to meet the AI moment, the diagnostic questions to pressure-test how policy gets built today, and the one skill that will define the profession's next decade.

### 11:20 AM–11:40 AM · Presentation by Shamindra Peiris, Visa
Solo Talk · Product Management · Palazzo Ballroom L
Speakers: Shamindra Peiris (Visa Inc.)
Page: https://ai4.com/sessions/presentation-by-shamindra-peiris-visa/

This talk will discuss how to leverage generative AI techniques to enhance fraud detection models. Main challenge faced by Fraud Detection models is the class imbalance where legitimate transactions vastly outnumber fraudulent ones. Creating synthetic data will accommodate robust testing and modeling while minimizing Data Privacy concerns.Secondly, this talk will discuss how to incorporate generative AI into the machine learning strategy to introduce novel fraud detection methods and improve predictive accuracy.Integrating generative AI into ML strategy will shift the focus from static, rule-based detection to generating behavioral intelligence. Unlike traditional systems, generative models learn and adapt in real-time, evolving to recognize new fraud types as they emerge without requiring manual model updates. Further, it will contribute in enhancing accuracy of the model while limiting the False Positives. At the same time, Generative AI techniques can be used to analyze unstructured data such as texts, notes etc rather than limiting to structured data points.Lastly, this talk will discuss how to utilize generative AI to simulate potential fraud scenarios, aiding in the development and refinement of fraud prevention solutions.

### 11:20 AM–11:40 AM · Scaling AI on Main Street: From Demos to Bottom Line
Solo Talk · Financial Services Banks · Lando Ballroom 4204
Speakers: Shadman Zafar (Vibrant Capital)
Page: https://ai4.com/sessions/scaling-ai-on-main-street-from-demos-to-bottom-line/

Most companies think they're scaling AI. What they're actually scaling is experiments. In this session, I will argue that Main Street industries, from banking and insurance to healthcare, manufacturing, logistics, retail, and communications, have seen enough demos. What they're missing is AI built into the everyday workflows where cycle time, cost, risk, and revenue actually move. Drawing on two decades as a CIO and what we are building at Vibrant Capital through our Growth Partners Network and CIO Fellows Society, I will share a more operator-led playbook for moving from pilots and hype to repeatable deployment. My view is a bit contrarian: the winners will not be the companies with the flashiest models, but the ones that redesign work around AI, govern it well, and make it accountable to business results. If you are a tech operator trying to make AI stick inside a real enterprise, you will leave with a sharper lens, a few uncomfortable truths, and a practical way to act.

### 11:20 AM–11:40 AM · Scaling AI with Context, Control and Confidence
Solo Talk · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Kevin McGrath (Meibel)
Page: https://ai4.com/sessions/scaling-ai-with-context-control-and-confidence/

Putting AI into production exposes a different class of problems than most teams expect. Changing data, evolving workflows, and expanding use cases introduce failure modes that don’t appear in demos. This talk explores where production AI breaks down and offers a practical framework for preserving context, control, and confidence as systems evolve.

### 11:20 AM–11:40 AM · Sovereign and Efficient AI: The Case for Optimized AI Models in the Age of the Inference Crunch
Solo Talk · Generative AI Deployment At Scale · Venetian Ballroom E
Speakers: Chris Zaharias (Multiverse Computing)
Page: https://ai4.com/sessions/sovereign-and-efficient-ai-the-case-for-optimized-ai-models-in-the-age-of-the-in/

The biggest threat to enterprise AI ROI isn't model quality it's infrastructure economics. With GPU capacity sold out, hyperscalers rationing access, and agentic workflows multiplying compute consumption 10–100x, companies are hitting a wall. The answer isn't waiting for new chips it's sovereign, efficient AI: compressed models that run where you need them, at the scale you can afford. Multiverse Computing will show how efficient and optimized AI models that reduce their inference costs by 50-80%, giving enterprises, ISVs, and governments a concrete path to AI independence and cost control.

### 11:20 AM–11:40 AM · The AI Dependency Trap: Own Your Edge
Solo Talk · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Catalina Herrera (Dataiku)
Page: https://ai4.com/sessions/the-ai-dependency-trap-own-your-edge/

As AI evolves faster than governments can regulate it, enterprise leaders face growing uncertainty around access, cost, and control. Building AI on a single provider creates operational and strategic risk. Catalina Herrera shares how organizations can design AI architectures that keep models swappable, protect governance, and maintain control of enterprise intelligence—so they can adapt to change without rebuilding their AI strategy.

### 11:20 AM–11:40 AM · The Automation Advantage: Creating the Foundation for AI-Driven Manufacturing
Solo Talk · Manufacturing · Titian Ballroom 2304
Speakers: Chris Stevens (Siemens Digital Industries)
Page: https://ai4.com/sessions/the-automation-advantage-creating-the-foundation-for-ai-driven-manufacturing/

Manufacturing is facing a convergence of challenges: workforce shortages, rapidly changing skills, rising energy demands, and an explosion of data. AI is often positioned as the answer. However, AI is inherently probabilistic, while manufacturing is a precision environment where shop floor decisions need to be deterministic. That tension is why so many AI initiatives stall between pilot and production.This session explores what it takes to make AI trustworthy on the shop floor, and why that has less to do with smarter models and more to do with the foundation underneath them: connected data, simulation, governance, and orchestration.In this session, you will learn:• Why safety, reliability, and predictability are the prerequisites for AI-driven decision making in manufacturing• How digital twins and simulation help manufacturers validate outcomes before changes impact production• What orchestration means in practice and how it connects AI, people, and operational systems to enable trusted action at scale

### 11:20 AM–11:40 AM · The Enterprise AI Imperative – Scaling Agents for Transformational Value
Solo Talk · Google Cloud Programming · Bellini Ballroom 2104
Speakers: Ben Yevin (Google Cloud)
Page: https://ai4.com/sessions/the-enterprise-ai-imperative-scaling-agents-for-transformational-value/

While AI technology is advancing rapidly, many organizations still struggle to translate innovation into measurable business results. This keynote bridges the gap between technical execution and strategic value creation, exploring the common roadblocks that stall enterprise AI initiatives. We will introduce a practical framework for connecting AI capabilities directly to your bottom line, while teaching you the "how" of scaling. Learn how to accelerate the journey from prototype to global production by building AI agents capable of handling millions of interactions and taking real-time action. Join us to discover comprehensive strategies for managing the entire agent lifecycle and ensuring your data and systems grow seamlessly to drive true transformational impact.

### 11:20 AM–11:40 AM · The Frontier AI Inference Cloud for Agents
Solo Talk · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Brian Yoo (FriendliAI)
Page: https://ai4.com/sessions/the-frontier-ai-inference-cloud-for-agents/

Agents have changed the economics of AI inference. A chatbot's cost scales roughly linearly with the number of requests; an agent's scales multiplicatively. A single task can fan out into hundreds of model calls, each carrying a repeated context prefix and adding latency that compounds across tool calls and reasoning steps. As open-weight models keep improving and agentic workloads grow, this shift exposes the limits of traditional request-level optimization. Inference infrastructure becomes a first-class concern, one that often shapes performance and cost as much as the model itself. I'll explore what changes when you optimize for the whole task rather than the individual request, and how FriendliAI is rethinking the inference cloud for the era of agentic AI. If you're building agents and hitting the wall on cost or latency, this talk will give you a new lens to think about your inference layer.

### 11:20 AM–11:40 AM · The Million-Dollar Pilot Trap: Why 89% of AI Agents Never Scale
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Kevin Lee (NiCE)
Page: https://ai4.com/sessions/the-million-dollar-pilot-trap-why-89-of-ai-agents-never-scale/

AI experimentation is everywhere. Enterprise-scale AI deployment is not. While organizations race to adopt AI agents, many remain trapped in pilots that never deliver meaningful business value. The challenge isn't access to AI. It's building the operational foundation required to deploy AI securely, govern it effectively, and scale it across the enterprise. What can we learn from enterprises already running AI agents in production across millions of customer interactions? Dive into the realities of operationalizing AI, the governance models that build trust, and the measurable outcomes organizations are achieving today.​

### 11:20 AM–11:40 AM · The Next Era of Enterprise AI: The Shift Underway
Solo Talk · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Manos Koukoumidis (Oumi)
Page: https://ai4.com/sessions/the-next-era-of-enterprise-ai-the-shift-underway/

Most organizations began their AI journey by renting generic intelligence through frontier models. It was the fastest way to get started, but they quickly discovered three fundamental limitations: generic models rarely deliver the highest quality on domain-specific tasks, inference costs become difficult to justify at scale, and the intelligence powering their business remains under someone else's control.Leading enterprises are now shifting toward specialized AI they own. Until recently, building domain-specific models required months of work and scarce AI expertise. Today, AI-native platforms automate model evaluation, data generation, training, deployment, and continuous improvement, reducing development cycles from months to hours and enabling domain experts to build production-grade AI.If building specialized AI becomes as accessible as modern software development, how should enterprise AI strategy evolve? What competitive advantages become possible when every organization can build, own, and continuously improve intelligence tailored to its business? What will separate the winners from everyone else?

### 11:20 AM–11:40 AM · Using Agentic AI to Drive Customer Acquisition & Retention
Solo Talk · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: David Truty (CreditAssociates)
Page: https://ai4.com/sessions/using-agentic-ai-to-drive-customer-acquisition-and-retention/

It has always been critical to acquire the right customers, optimize customer-related spend, and personalize engagement at every stage of the customer lifecycle. Agentic AI creates a huge opportunity for companies to increase customer acquisition and retention. This presentation will cover how Agentic AI is helping CreditAssociates take their customer acquisition and retention to the next level, building on their existing advanced analytics capabilities and factoring in key themes of trust, explainability, compliance, and consistency.

### 11:20 AM–11:40 AM · When AI "Judges"
Solo Talk · Government & Public Sector · Palazzo Ballroom B
Speakers: Ulfan Aliyev (National Artificial Intelligence Center of Republic of Azerbaijan)
Page: https://ai4.com/sessions/when-ai-judges/

How can artificial intelligence bridge the gap between complex legislation and the public while simultaneously empowering the judiciary to handle immense workloads? To modernize our legal infrastructure, I will share how we deploy integrated AI solutions that transform both citizen access and courtroom operations. The talk will illustrate how our e-qanun AI platform empowers everyday people by translating dense statutory language into simple terms, while our specialized judicial AI acts as a comprehensive partner that reads incoming claims, retrieves precedents, and actively drafts court decisions. I will explain how these combined systems drastically diminish manual effort for judges by evaluating facts and processing cases with advanced precision. Join me to explore how deploying AI across public legal portals and directly accelerates operations and builds a more transparent legal ecosystem for all.

### 11:20 AM–11:40 AM · Why LLM will not scale for CyberSecurity?
Solo Talk · Cybersecurity · Marcello Ballroom 4404
Speakers: Guy Flechter (Sola Security)
Page: https://ai4.com/sessions/why-llm-will-not-scale-for-cybersecurity/

We will discuss the limitations of LLM for Cybersecurity and what possible ways to overcome them are.

### 11:30 AM–11:40 AM · How to Build & Ship Self-Healing Integrations Without the iPaaS Overhead
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Jugal Anchalia (Refold)
Page: https://ai4.com/sessions/how-to-build-and-ship-self-healing-integrations-without-the-ipaas-overhead/

In this session, learn how to build custom integrations fast and ship them directly inside your own product. See how AI-native integrations monitor themselves, catch failures early, and self-heal in production, so you spend less time firefighting broken connectors and more time building. Walk away with a practical approach to delivering integrations that stay reliable long after they go live.

### 11:45 AM–12:05 PM · AI and the Automated Abundance Economy
Solo Talk · Social Impact Of AI · Titian Ballroom 2302
Speakers: Zoltan Istvan (Zoltan Istvan)
Page: https://ai4.com/sessions/ai-and-the-automated-abundance-economy/

AI is already changing the world, and soon it will transform the workplace. Zoltan Istvan, a leading AI and transhumanist thinker, discusses his Automated Abundance Economy. Comprised of three parts, it offers a unique way for society to deal with the complexities of AI. 1) Establish a Universal Basic Income for those who lose jobs to automation. 2) Get robots in everyone's homes to make chores and labor easier. 3) Reimagine the American Dream, one that is not about making as much money as possible, but about enjoying leisure and creative time more in the age of abundance and automation. Zoltan Istvan leads us on how AI can become a utopia for society if a positive vision is implemented.

### 11:45 AM–12:05 PM · AI and the United States Midterm Elections
Solo Talk · Government & Public Sector · Palazzo Ballroom B
Speakers: Justin Hendrix (Tech Policy Press)
Page: https://ai4.com/sessions/ai-and-the-united-states-midterm-elections/

How will the 2026 midterms reshape the future of AI policy in Washington? As lawmakers wrestle with how to regulate a fast-moving industry, the election's outcome could redraw the balance of power and reset the agenda on AI safety, competition, and oversight, even as generative AI simultaneously transforms how campaigns persuade and reach voters. In this talk, Justin Hendrix of Tech Policy Press unpacks how the midterms may shift the trajectory of federal AI policy, and how AI tools are changing the mechanics of the election itself. Attendees will come away with a clearer sense of the political forces that will shape AI governance in the next Congress and how technology is altering the campaign landscape today. Join us for a clear-eyed look at the intersection of two stories that will define the year ahead, drawn from Tech Policy Press's ongoing reporting and analysis.

### 11:45 AM–12:30 PM · AI for Energy Resilience: Balancing Reliability and Decarbonization
Panel Session · Energy · Titian Ballroom 2304
Speakers: Paul Browning (Argon Power Group); Claudia Cosoreanu (GE Vernova Grid Automation); Jonathan Herman (Strong Interactive)
Page: https://ai4.com/sessions/ai-for-energy-resilience-balancing-reliability-and-decarbonization/

As the energy sector decarbonizes, AI plays a growing role in keeping the grid reliable and systems efficient. This panel features leaders from traditional and renewable sectors exploring how AI helps navigate volatile demand, reduce downtime, and model environmental risk. Learn how data-driven forecasting and predictive modeling are becoming mission-critical for resilient, future-proof energy systems.

### 11:45 AM–12:05 PM · AMD Instinct Coder: Local-First Inference for Agentic Coding
Solo Talk · Infrastructure: Cloud Data Centers & Compute · Lando Ballroom 4203
Speakers: Kumaran Siva (AMD)
Page: https://ai4.com/sessions/amd-instinct-coder-local-first-inference-for-agentic-coding/

AI coding agents are moving from experimental tools into core developer workflows, and the infrastructure assumptions underneath them — centralized APIs, pay-per-token pricing, data leaving the enterprise — are increasingly in tension with how large organizations operate. Cost control, model flexibility, data residency, and governance are now core deployment problems. Introducing AMD Instinct Coder: a local-first inference service that enables enterprises to run more inference on-premises while preserving access to frontier models when needed, keeping sensitive code and data inside the organization's control boundary. AMD Instinct Coder brings together AMD Instinct GPUs, Supermicro systems, and Spectro Cloud's PaletteAI Inference Launchpad into a pre-validated stack covering deployment, model routing, metering, governance, and infrastructure management. As organizations move from piloting AI coding tools to standardizing them at scale, decisions about which models run where, at what cost, and under what policy will define how effectively they can operate. Attendees will leave with a practical framework for architecting inference infrastructure that delivers control over cost, data, and deployment choice.

### 11:45 AM–12:05 PM · Be the Frontier Firm - Talking Machines
Solo Talk · Food & Agriculture · Palazzo Ballroom E
Speakers: Viren Shah (Cacti Industries)
Page: https://ai4.com/sessions/be-the-frontier-firm-talking-machines/

Frontier firms create value by becoming AI-native organizations by deploying AI in three work-streams: Strategy Acceleration (New Product Introductions, etc.) Continuous Improvement—sharpening what already exists (supply chain optimization etc.); and Citizen Development putting AI capability directly in the hands of the people (Personal Agents etc.). Valtra's Talking Tractor "Award Winner at Agritechnica" is a great example of Strategy Acceleration in action: a voice AI agent, trained on machine data which makes a complex machine simple to operate, in the operators own language, ensuring seamless interaction. Natural voice and gesture are becoming the interface to physical machines built to command entire fleets on the field and a platform Cacti is building to enable large landscapes.If you want to learn how AI can make complex products simple by leveraging voice to solve global problems, such as world hunger, this session is for you.

### 11:45 AM–12:25 PM · Beyond the Chatbot: Designing the Age of Physical AI
Solo Talk · Product Design · Marcello Ballroom 4403
Speakers: Robert Brunner (Ammunition)
Page: https://ai4.com/sessions/beyond-the-chatbot-designing-the-age-of-physical-ai/

For decades, technology has asked people to adapt to machines. AI creates an opportunity to reverse that relationship. Having helped bring multiple waves of technology to market—from personal computing and mobile devices to connected products and wearables—Robert Brunner has seen firsthand that breakthrough technologies succeed not because of what they can do, but because of how well they fit into people's lives. Today, AI presents a similar inflection point. As intelligence becomes embedded in products and environments, we are entering an era where technology can learn from people rather than forcing people to learn technology. The challenge is no longer creating intelligence—it's designing experiences that earn trust, understand context, and improve daily life. In this session, Robert explores how design will shape the next wave of AI-enabled products and why the most transformative opportunities may emerge not on screens, but in the physical spaces where people live, work, and care for one another. Through examples spanning consumer electronics, wearables, and new AI-native products, he will explore the emerging category of Physical AI—products that perceive, learn, and adapt to the people and environments around them—and why they may represent the next major platform shift in computing.

### 11:45 AM–12:05 PM · Beyond the Screen: Engineering AI Models for the Real World
Fireside Chat · Vision Spatial & World Models (technical) · Delfino Ballroom 4103
Speakers: Brian McClendon (Niantic Spatial); Thomas Germain (The BBC)
Page: https://ai4.com/sessions/beyond-the-screen-engineering-ai-models-for-the-real-world/

In this session, Niantic CTO Brian McClendon skips the vision statements and dives straight into the challenges of building spatial intelligence and a Large Geospatial Model (LGM), drawing on his experience of building pioneering mapping technologies that have redefined how people and machines interact with the real world. He will discuss both the opportunities and the engineering hurdles as computer vision is applied to the chaotic, unconstrained variables of the physical world. Context: Why it mattersLLMs and world models built for simulation do not provide the level of understanding needed to interpret and navigate the real world. Solving the spatial intelligence problem is a prerequisite for everything from autonomous robotics to AI wearables, requiring engineers to build for algorithmic and scale computing challenges. Key takeaways: What you will learnYou will learn how the architectural principles that scaled Google Maps, Google Earth, and Pokémon GO are being rewired into modern AI world models.Call to action: Why you should attendIf you are an engineer tired of hype and want deep insights into the world’s most ambitious geospatial engine, this is the session for you.

### 11:45 AM–12:05 PM · Build Intelligent Agents with Telemetry and Sessions
Solo Talk · Google Cloud Programming · Bellini Ballroom 2104
Speakers: Jason Davenport (Google)
Page: https://ai4.com/sessions/build-intelligent-agents-with-telemetry-and-sessions/

Learn how to build agents that share relevant informaiton with you. You'll see how to enable telemetry in frameworks like Google ADK that can give you the ability to create powerful insights from your agent using tools like Google Cloud Spanner and BigQuery. Learn how to use session information to create durable agents that can run over long periods of time and manage their own context windows.

### 11:45 AM–12:35 PM · Cognition in Code: Building AI from Biological Models [RSVP REQUIRED]
Roundtable · Roundtable (technical) · Room 305
Speakers: Naga Harivadana Kalapatapu (DePaul University)
Page: https://ai4.com/sessions/cognition-in-code-building-ai-from-biological-models-rsvp-required/

This event requires an RSVP; to attend, submit form hereWhat if the key to better AI lies in biological models of cognition? This roundtable explores how insights from cognitive neuroscience and brain-inspired systems can inform the next generation of AI design. We will talk about how biological ideas like sparse connectivity, adaptive learning, and structured cognition can make machine learning systems more efficient and better at generalizing. Drawing from research and experimental work, the session will bridge biological models with real-world AI applications. Attendees will gain practical perspectives on translating cognitive and biological insights into scalable AI systems. Join the discussion to rethink AI through the lens of biological cognition.

### 11:45 AM–12:05 PM · Context as Infrastructure: How SIXT Wired Its Enterprise for AI Productivity at Scale
Solo Talk · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Boyan Dimitrov (SIXT SE)
Page: https://ai4.com/sessions/context-as-infrastructure-how-sixt-wired-its-enterprise-for-ai-productivity-at-s/

The bottleneck for AI productivity in the enterprise isn't the models - it's context. Who has access to what data, when, and in what form determines whether AI becomes a genuine productivity multiplier or stays a collection of isolated experiments.At SIXT, we built a platform layer designed to solve exactly this: shared context and data access as first-class infrastructure, available to both engineering teams and business users. In this session, we will walk through the building blocks - how we made proprietary data accessible, how we created shared context that scales across teams, and what the platform capabilities look like that let non-engineers ship real solutions alongside engineers writing production code.This is not a talk about choosing models or managing GPU costs. It's about the connective tissue that makes an AI-native enterprise actually function at scale.

### 11:45 AM–12:05 PM · Conversation with Anuj Mehndiratta, Thrive Capital & Jim Siders, Shield
Fireside Chat · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Anuj Mehndiratta (Thrive Capital); Jim Siders (Shield Technology Partners); Yun-Hee Kim (The Washington Post)
Page: https://ai4.com/sessions/conversation-with-anuj-mehndiratta-thrive-capital-and-jim-siders-shield/

How can businesses drive enterprise AI adoption from the inside out? Join Anuj Mehndiratta, part of the founding team at Thrive Holdings, and Jim Siders, CEO of Shield Technology Partners, to discuss how Holdings is adopting an owner-operator model and long-term approach to bridge the gap between AI capabilities and impact.

### 11:45 AM–12:05 PM · Defining Success Metrics across Generative and Agentic Experiences
Solo Talk · Product Management · Palazzo Ballroom L
Speakers: Yash Chaturvedi (Amazon)
Page: https://ai4.com/sessions/defining-success-metrics-across-generative-and-agentic-experiences/

When an AI agent completes a multi-step task, how do you actually know it succeeded? As generative and agentic experiences move from demos into production, most teams are still applying metrics built for deterministic software, and those metrics quietly miss what these systems get wrong. I’ll draw on my experience shipping AI products at Amazon to show where those metrics break down. I’ll share a practical framework for defining success across generative outputs and multi-step agent workflows, balancing accuracy, user trust, and business impact. You will leave with a concrete set of questions to run against their own product before it ships.

### 11:45 AM–12:05 PM · Edge-First AI: Mission Critical Intelligence Without Mega Scale Compute
Solo Talk · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Ajay Chakravarthy (Thales UK)
Page: https://ai4.com/sessions/edge-first-ai-mission-critical-intelligence-without-mega-scale-compute/

I will challenge the assumption that mission-critical AI demands planet-melting data centres and show how intelligent agents can operate securely and reliably at the edge. In a world of constrained bandwidth, contested environments, and tight power budgets, pushing AI closer to where decisions are made is not just efficient; it is often essential. I will walk through example implementations developed within cortAIx - Thales' global accelerator for AI, showing how we deploy AI agents on edge platforms across defence, transportation, and critical infrastructure, while preserving robustness, security, and human-on-the-loop control. Attendees will learn practical approaches for combining small, specialised models with system-level autonomy, as well as strategies for validation, monitoring, and fail-safe behaviour in the field. The talk will equip you with a blueprint to move from cloud-only prototypes to trustworthy edge deployments that respect operational constraints and environmental impact, and will show how to make AI both mission-ready and responsible.

### 11:45 AM–12:05 PM · Enabling Acceleration with AI You Can Trust
Solo Talk · Generative AI: Applications & Use Cases · Venetian Ballroom E
Speakers: Saima Shafiq (US Bank)
Page: https://ai4.com/sessions/enabling-acceleration-with-ai-you-can-trust/

Companies raced to pilot AI in the past few years. Now they must prove they can run it safely at scale. Saima Shafiq, Head of Enterprise AI Enablement at U.S. Bank, shares how governance becomes the accelerator—not the brake—that moves AI from isolated pilots into supervised production. Drawing on U.S. Bank’s Responsible AI principles and its enterprise governance principles, she unpacks the guardrails that enable applications to observe, detect, and intervene in real time, and the single-intake, risk-co-design playbook that compresses use cases from idea to live production in days, not months. She’ll address the hardest challenges of deploying agentic AI in a regulated environment—from prompt injection and data leakage to model risk and regulator engagement—and the best practices for turning compliance into a competitive advantage. She closes with where agentic AI is taking banking next, and why the winners won’t be those who deploy fastest, but those who deploy with guardrails watching every step.

### 11:45 AM–12:05 PM · Flying High with AI Agents in Operation at United: Kushal Pasari, United Airlines
Solo Talk · AI Agents (technical) · Veronese Ballroom 2504
Speakers: Kushal Pasari (United Airlines)
Page: https://ai4.com/sessions/flying-high-with-ai-agents-in-operation-at-united-kushal-pasari-united-airlines/

Ever wondered how one of the biggest airlines enables messages to our customers? We will raise the curtain and take you through our journey in enabling Agents running 24x7 to make it happen.

### 11:45 AM–12:05 PM · From 8 Years to 18 Months: Designing Enterprise AI That Delivers Measurable Healthcare Outcomes
Solo Talk · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Siva Balu (Quartz Health Solutions)
Page: https://ai4.com/sessions/from-8-years-to-18-months-designing-enterprise-ai-that-delivers-measurable-healt/

Did you know it takes nearly 8 years, on average, for many patients to receive a diagnosis for an autoimmune disease? Enterprise AI creates lasting value when it solves a real business problem - not when it simply showcases the latest model - and that challenge is amplified in highly regulated industries like healthcare. In this session, I will share how we designed and implemented an AI solution that reduced the average identification time for autoimmune diseases to approximately 18 months, covering the data architecture, machine learning approach, governance, workflow integration, implementation challenges, and measurable outcomes that drove adoption. I will also briefly highlight how the same implementation principles were applied across additional enterprise AI initiatives, including improving insurance quote-to-purchase conversion, analyzing 18 billion healthcare claims to identify disease prevalence by ZIP code for population health planning, and enhancing payment integrity. Attendees will leave with practical implementation patterns and lessons learned for moving AI from isolated pilots to trusted, enterprise-scale solutions that deliver measurable business and healthcare outcomes.

### 11:45 AM–12:05 PM · New Chapter of Productivity by Deployments of Embodied AI
Solo Talk · Oversight: AI ROI · Palazzo Ballroom D
Speakers: Ryan Wang (Solaris Venture Partners & Outpost Capital); Patrick Gao (AGIBOT)
Page: https://ai4.com/sessions/new-chapter-of-productivity-by-deployments-of-embodied-ai/

As artificial intelligence evolves beyond screen-based models, embodied AI and general-purpose humanoid robotics are entering physical operations at commercial scale. In this 20-minute fireside chat, Patrick Gao (North American VP, AGIBOT) and Ryan Wang (General Partner, Solaris Venture Partners & Outpost Capital) explore how real-world deployment, advanced manipulation models, and hardware-software integration are ushering in a new chapter of enterprise productivity.Key Takeaways:• Transitioning humanoid robotics from research labs into continuous enterprise workflows.• Real-world commercial deployment milestones, dexterity, and operational ROI.• Investor and builder perspectives on the trillion-dollar embodied AI ecosystem.

### 11:45 AM–12:05 PM · Rewiring a Global Enterprise for the AI Economy
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Elise Neel (Panasonic)
Page: https://ai4.com/sessions/rewiring-a-global-enterprise-for-the-ai-economy/

With a legacy that spans industries and decades, Panasonic is undertaking a bold journey to reinvent how it operates, builds and competes in an AI-powered world. In this session, Elise will share how the company is rethinking structure, culture and execution... and her lessons learned along the way. From incubating digital innovation to standing up new business models, this is a conversation about how large enterprises can use emerging technology not just to optimize, but to truly reinvent from the inside out.

### 11:45 AM–12:05 PM · Securing World Models & Digital Twins: The Next Critical Attack Surface for Operations
Solo Talk · AI Research Summit (technical) · Venetian Ballroom A
Speakers: Samuel Addington (California State University Long Beach)
Page: https://ai4.com/sessions/securing-world-models-and-digital-twins-the-next-critical-attack-surface-for-ope/

Digital twins are quickly turning from “visual dashboards” into decision engines that can recommend—or automate—real operational actions. In this talk, I will explain how that shift creates a new attack surface: instead of only stealing data, adversaries can manipulate telemetry, model behavior, or simulation assumptions to quietly drive bad decisions in warehousing, logistics, and manufacturing. I will illustrate a simple threat model across the Sense → Model → Act loop and show where integrity failures, poisoning, and policy-bypass attempts can cause real business impact. Attendees will leave with a practical, vendor-neutral security blueprint: provenance and attestation for inputs, tamper-evident model and simulation assets, drift/twin–reality divergence monitoring, and policy-gated actuation with safe escalation for high-risk actions. If you’re planning to deploy digital twins or world-model-driven automation, this session will help you ask the right questions, prioritize controls, and avoid turning your “optimization engine” into an unprotected control plane.

### 11:45 AM–12:30 PM · The Agentic Bank: Moving Towards Autonomous AI in Banking
Panel Session · Financial Services Banks · Lando Ballroom 4204
Speakers: Davidson Charles (Citi); Ash Kaduskar (First Citizens Bank); Darrell Etherington (The Angle); Alexander Guerra Perales (Banco Azteca / Elektra); Robert Thacker (ARIS)
Page: https://ai4.com/sessions/the-agentic-bank-moving-towards-autonomous-ai-in-banking/

Financial institutions are transitioning from passive AI assistants to autonomous systems capable of executing complex workflows. This panel will focus on the rise of agentic AI and how it is transforming core operations like loan origination, trade execution, and dynamic customer service. Panelists will discuss the leap from predictive models to goal-oriented agents that take direct action within strict financial guardrails. The conversation will highlight integration strategies, workflow automation, and the new trust frameworks required when AI acts on behalf of the bank. Attendees will walk away with a roadmap for deploying agentic systems that maximize efficiency without compromising security.

### 11:45 AM–11:55 AM · The Control Tower for AI at Work: Seeing the Work Nobody Can Currently See
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Naman Ambavi (Oximy)
Page: https://ai4.com/sessions/the-control-tower-for-ai-at-work-seeing-the-work-nobody-can-currently-see/

What if the single fastest-growing line in your budget is also the one you can see the least?AI at work no longer lives inside one approved tool. It's scattered across ChatGPT, Claude, Copilot, Cursor, personal accounts, shadow tools, and model traffic nobody is routing, which means most enterprises can't answer basic questions about what they're paying for, what's actually working, or where AI work should happen.In this session I'll show what enterprise AI usage really looks like underneath the dashboards, drawn from deploying across companies from Series A startups to global enterprises. I'll walk through how leaders are turning that chaos into a system of record: seeing every AI task, routing work to the right tool, and running requests on the right model.If you own AI strategy, spend, or governance and you're tired of guessing, come see what visibility actually looks like.

### 11:45 AM–12:05 PM · When Rules Break Down: Designing AI for the Real World
Solo Talk · Oversight: AI Explainability Governance & Model Risk · Titian Ballroom 2306
Speakers: Robbie Goldfarb (Forum AI)
Page: https://ai4.com/sessions/when-rules-break-down-designing-ai-for-the-real-world/

I’ve worked on misinformation at Facebook, youth safety at Instagram, and high-stakes reliability with most foundation model labs. That experience has made clear that more capable AI will not automatically become more trustworthy. In this conversation, I’ll explore what it takes for AI to earn trust, including how systems can exercise judgment, account for consequences, and operate within a defensible range of reasonable action. I’ll also examine how humans can be effectively involved and how expert judgment can be translated into evaluations and safeguards at scale.

### 11:45 AM–12:05 PM · Why CyberSecurity Needs a Human-Centric Approach
Solo Talk · Cybersecurity · Marcello Ballroom 4404
Speakers: Lynn Dohm (Women in CyberSecurity (WiCyS)); Will Markow (FourOne Insights)
Page: https://ai4.com/sessions/why-cybersecurity-needs-a-human-centric-approach/

While AI redefines the digital landscape, human talent remains the core of cyber resilience. This session explores a human-centric approach, leveraging research from WiCyS and FourOne Insights to transform cybersecurity into a mission-driven ecosystem.Discover how high-impact practices—like skills-based planning and personalized learning—can return over $125,000 per employee while improving retention. Using internal data with external analytics, organizations gain a 360-degree view to bridge skill gaps, quantify ROI, and build a durable, talent-first pipeline for the future.

### 11:45 AM–12:05 PM · Why Your Agent Died in the Pilot: Pinaki Saha - Anshar Labs/Anshar Ai
Solo Talk · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Pinaki Saha (Anshar Labs)
Page: https://ai4.com/sessions/why-your-agent-died-in-the-pilot-pinaki-saha-anshar-labs-anshar-ai/

Why do 79% of enterprises adopt AI agents while only 11% actually run them in production? I built and shipped four agents that crossed that gap, in security surveillance, finance, live content moderation, and training video generation, and each one taught the same lesson: the model was never the hard part. In this talk, I'll break down what actually kills a demo before it reaches production (data that isn't ready, no one owning oversight, a workflow that never touches the real system) and the four practices the surviving 11% share, from owning the data pipeline to designing for the model being confidently wrong. Come if you want a concrete playbook for turning a demo that worked once into an agent that runs unattended, at scale, in the real world.

### 11:55 AM–12:05 PM · Beyond the Black Box: Interpretability as AI Security's Missing Layer
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Tim Schulz (Starseer)
Page: https://ai4.com/sessions/beyond-the-black-box-interpretability-as-ai-security-s-missing-layer/

The strongest signal of attacks against AI models, like jailbreaks and prompt injections, isn't in the inputs or outputs but in the activations between them. AI security today treats models as black boxes, layering guardrails around systems that no one fully understands. The talk will show how mechanistic interpretability changes that equation, giving defenders the same internal visibility that EDR brought to endpoints over a decade ago. Detecting attacks at the activation level produces guardrails that match or exceed purpose-built classifiers while running faster and lighter. If you're building or defending AI systems and want to move past black-box assumptions, this talk will give you a new playbook.

### 12:10 PM–12:30 PM · AI Sprawl Is Exploding: Get Ahead of Governance and Orchestration Challenges Before It's Too Late
Solo Talk · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Kevin Kiley (Airia)
Page: https://ai4.com/sessions/ai-sprawl-is-exploding-get-ahead-of-governance-and-orchestration-challenges-befo/

The rapid explosion of AI and autonomous agents introduces risks that traditional security measures weren't built to address, placing newdemands on CIOs to govern the AI sprawl across the organization. In this session, we’ll arm you with practical strategies to identify and manage these emerging vulnerabilities and discuss effective strategies for maintaining control over AI agents. Attendees will learn actionable approaches for risk mitigation, governance, and operational resilience that defines successful AI transformation.

### 12:10 PM–12:30 PM · AI-Native Engineering at Scale: Infrastructure, Workflows, and the AI Hub Pattern
Solo Talk · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Andy Vays (Equal Experts)
Page: https://ai4.com/sessions/ai-native-engineering-at-scale-infrastructure-workflows-and-the-ai-hub-pattern/

Most engineering orgs are AI-enabled, with tools bolted onto old workflows. Few are AI-native, with the infrastructure and workflows built for AI from the ground up. During this session, we'll share the AI Hub, a pattern we're building across enterprise clients, for the infrastructure and ways of working that make AI-native engineering possible at scale. This is the difference between adopting AI and being built for it.

### 12:10 PM–12:30 PM · Building an AI-Based Hospital: From Vision to Clinical Reality
Solo Talk · Generative AI: Applications & Use Cases · Venetian Ballroom E
Speakers: Ayelet Akselrod-Ballin (ARC Innovation, Sheba Tel Hashomer City of Health)
Page: https://ai4.com/sessions/building-an-ai-based-hospital-from-vision-to-clinical-reality/

The hospital of the future is not a building — it is an intelligent system. This talk presents the roadmap for embedding artificial intelligence across the full continuum of hospital operations. Drawing on real-world deployment experience, we outline what it actually takes to move beyond proof-of-concept pilots and integrate AI into the daily workflows of clinicians, nurses, and administrators. We address the unique challenges that make healthcare AI genuinely challenging. From ambient and conversational NLP documentation, AI imaging systems to multimodal solutions. We walk through different solution, their algorithmic and architecture choices, and the productization stack that keeps them clinically safe post-deployment.

### 12:10 PM–12:30 PM · Compounding ROI with AI: From SaaS Disruption to the Fully Agentic Enterprise
Solo Talk · Oversight: AI ROI · Palazzo Ballroom D
Speakers: Srikanth Chitipotu (Sage IT)
Page: https://ai4.com/sessions/compounding-roi-with-ai-from-saas-disruption-to-the-fully-agentic-enterprise/

Doing AI is table stakes now. Everyone has multiple programs in production and many more in flight. The edge isn't whether you build; it's whether the returns compound. So we flip it: realize ROI now, and let each win fund the next. It starts where returns are fastest and lowest-risk - disrupting the bloated SaaS you're already overpaying for - then compounds from there, all the way to a fully agentic enterprise. No big bets, no science projects, just real value one win at a time. We've done it across multiple domains. Join us, and we'll show you how to start in yours.

### 12:10 PM–12:30 PM · Fender Benders, Near Misses, Flat Tires and Checkered Flags – When Everyone Drives AI on the Road to Better Government.
Solo Talk · Government & Public Sector · Palazzo Ballroom B
Speakers: Chuck Wemple (Houston-Galveston Area Council)
Page: https://ai4.com/sessions/fender-benders-near-misses-flat-tires-and-checkered-flags-when-everyone-drives-a/

I'll share our unconventional approach to giving our entire team access to GenAI —why humor and a sense of play helped, what the “fails” taught us, how we are overcoming “shadow” Ai usage when traditional IT governance slowed adoption, and our next steps in transforming public service for our region of 8 million people. Local and regional governments are under pressure to move faster, produce better outcomes, and do more with fewer resources. Generative Ai is an important part of transforming the public service sector, but can stall out when it collides with bureaucracy, old ways of thinking, and traditional IT governance. Come learn how we flipped the script and made AI tools accessible to our entire team instead of starting small and only giving access to an elite group. What happens when everyone gets a set of keys to the Ai car but not everyone wants to drive, or maybe your boss drives like your grandma, or the new hires drive like the Indy 500? I’ll share a few near misses, fender benders, and when our team was first over the line and grabbed the trophy. I'll also talk about how humor and a sense of play helped reduce employee anxiety about being replaced by Ai. And hopefully we'll have a little fun.

### 12:10 PM–12:30 PM · Fireside Chat with Amir Alpert, Dognosis
Solo Talk · The Ai4 Lens · Bellini Ballroom 2102
Speakers: Amir Alpert (Dognosis)
Page: https://ai4.com/sessions/fireside-chat-with-amir-alpert-dognosis/

### 12:10 PM–12:30 PM · From Prototype to Production: Production Ready Agents on Google Cloud
Solo Talk · Google Cloud Programming · Bellini Ballroom 2104
Speakers: Terrence Ryan (Google Cloud)
Page: https://ai4.com/sessions/from-prototype-to-production-production-ready-agents-on-google-cloud/

Building a single AI agent is easy; scaling it reliably across an enterprise is hard. This session explores the practicalities of agent development using our comprehensive toolset. We'll cover the benefits of low-code visual building with Agent Studio versus code-first control using our Agent Development Kit (ADK). You’ll learn how to use both our low code, and code framework tools, how to construct them for eventual usage in production systems, and navigate the journey from a local prototype to a production-ready system capable of delivering your agentic system to the masses.

### 12:10 PM–12:30 PM · How a Conference Room Broke Our Computer Vision Assumptions
Solo Talk · Vision Spatial & World Models (technical) · Delfino Ballroom 4103
Speakers: Vojta Ciml (SlidesLive)
Page: https://ai4.com/sessions/how-a-conference-room-broke-our-computer-vision-assumptions/

Event recording sounds like a solved problem. It isn't. I'll walk through how we evolved NATE, SlidesLive's autonomous recording system, from basic face detection to a multimodal system that fuses video and audio to do what a full production crew would: track speakers, switch cameras, monitor quality, and secure the recording. I'll cover the architecture, failed experiments, tuning process, and what 100,000 recorded talks taught us about building systems that work when there's no second take.

### 12:10 PM–12:30 PM · Is Orchestration the Future?
Solo Talk · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Arick Goomanovsky (BAND)
Page: https://ai4.com/sessions/is-orchestration-the-future/

This session introduces multi-agent systems (MAS) and traces their evolution - from standalone LLMs handling single tasks, through orchestrated agentic workflows, to fully autonomous distributed networks where agents independently reason, delegate, and collaborate across organizational boundaries. Along this progression, a new class of engineering challenges emerges: reasoning loop control, message ordering, error recovery, and observability when agents communicate faster than humans can follow. We advance a core thesis: the future of communication is AI-to-AI, with natural language as the universal API.

### 12:10 PM–12:30 PM · Is Your Enterprise Ready for AI? Developing a Safe Adoption Strategy for AI
Solo Talk · Cybersecurity · Marcello Ballroom 4404
Speakers: Shawn Surber (Island)
Page: https://ai4.com/sessions/is-your-enterprise-ready-for-ai-developing-a-safe-adoption-strategy-for-ai/

Most organizations are currently stuck between two worlds: the urgent need to adopt AI to remain competitive, and the critical mandate to protect corporate data and reputation. AI is evolving faster than any tool in IT history, and faster than any organization can keep up with. The temptation to simply block access to AI is strong, but just saying "No" means ceding the advantage to those able to say "Yes!"A "Secure Yes" rests on three pillars. The first is visibility — knowing what AI is being used across the organization. The second is accountability — defining who owns the data and the output. The third is resilience — building frameworks that adapt as regulations change.It's time to find the "Secure Yes." In this session, we will outline the executive framework for secure AI adoption. We will move past the hype to discuss how leaders can build visibility, maintain accountability, and foster a culture of responsible innovation.

### 12:10 PM–12:30 PM · LOV Where You Work AI Tool
Fireside Chat · Social Impact Of AI · Titian Ballroom 2302
Speakers: James Gaskin (Brigham Young University); Julie Roginsky (Lift Our Voices); Ron Schmelzer (Forbes / Scalebrate); Gretchen Carlson (Lift Our Voices)
Page: https://ai4.com/sessions/lov-where-you-work-ai-tool/

Prospective employees are often asked to sign contracts they do not fully understand. Even when they read the fine print, they may not have the legal expertise to recognize what rights they are giving up, what protections and benefits they are receiving in return, or which terms may be unusually broad, risky, or even unenforceable.In this Ai4 fireside chat, we will introduce an AI-powered tool designed to help individuals better understand employment-related contracts before they sign. Sponsored by Lift Our Voices, the tool helps users identify key tradeoffs in their agreements, including what they may be giving up, what they are receiving, what leverage or practical options they may have, and which provisions deserve closer attention.We will discuss the challenges employees face when workplace issues do arise, the kinds of contract terms that can create hidden risks (e.g., forced arbitration), and how AI can support greater transparency and individual empowerment. Time and technology permitting, we will also provide a live demonstration of the tool and show how it can help prospective employees spot red flags and make more informed decisions.

### 12:10 PM–12:30 PM · MarcoPolo: The Data Gateway for Governing How AI Agents Access Enterprise Data
Solo Talk · Oversight: AI Explainability Governance & Model Risk · Titian Ballroom 2306
Speakers: Aseem Chandra (MarcoPolo.dev)
Page: https://ai4.com/sessions/marcopolo-the-data-gateway-for-governing-how-ai-agents-access-enterprise-data/

AI agents no longer just produce insights for people to act on. Instead, they reach into CRMs, ERPs, ticketing systems, databases, and warehouses in real time and act on the data themselves. That collapses the traditional governance model: there's no human in the loop every time to catch a mistake, credentials and sensitive records can slip into prompts, and an agent pointed at live systems can retrieve data it should never see. In this session, you'll see how MarcoPolo, a data gateway for AI to access data, becomes the single checkpoint through which every agent reaches enterprise data, enforcing who can access what, keeping credentials away from the model, and creating a complete, auditable record of every action an agent takes. Join us for real examples of how risk, legal and IT leaders can give AI agents access to real operational data with oversight and transparency, turning governance from a barrier into an accelerator of AI adoption at scale.

### 12:10 PM–12:30 PM · Palm Reading and Other Skills: Agent Architectures in 2027
Solo Talk · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Alan Nichol (Rasa)
Page: https://ai4.com/sessions/palm-reading-and-other-skills-agent-architectures-in-2027/

Most enterprise AI agents being built right now won't make it to durable production. Not because the models aren't good enough, but because the architectural choices made in the first 90 days quietly seal the project's fate.Alan Nichol, founder of Rasa, has spent over a decade reading the leaves: watching enterprise agents get built through the chatbot era, the LLM shift, and now the agent era. In this session, he'll share the pattern recognition: which architectural bets pay off, which ones are cursed from the start, and what separates the agents running at the world's largest banks, telcos, and healthcare companies from those that never made it out of the cards.If you're building or operating AI agents in a regulated enterprise, this talk will tell you with uncomfortable specificity what your agent's future holds — and how to change it.

### 12:10 PM–12:30 PM · Presentation By Bright Data
Solo Talk · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Ariel Shulman (Bright Data)
Page: https://ai4.com/sessions/presentation-by-bright-data/

For decades, the web was Google's domain, organizing the chaos for humans. Now AI agents are taking over - but they're only as good as what they can see, and they often get blocked or work off stale data. They then make confidently wrong decisions, faster than any human could. This session is about fixing that - giving agents real-time, reliable eyes on the world, so they stop automating mistakes and start delivering results you can actually trust.

### 12:10 PM–12:30 PM · Presentation by Che Guan, Alliance Bernstein
Solo Talk · AI Research Summit (technical) · Venetian Ballroom A
Speakers: Che Guan (AllianceBernstein)
Page: https://ai4.com/sessions/presentation-by-che-guan-alliance-bernstein/

We use Large Language Models (LLMs) and Natural Language Processing (NLP) to extract Environmental, Social and Governance (ESG) insights from real-time news, creating an expert-annotated dataset to evaluate ESG classification, firm relevance, and sentiment. Our fine-tuned models outperform pre-trained ones in ESG detection, firm impact, and sentiment analysis. Furthermore, in-context learning does not improve performance, indicating optimal tuning. Event studies and backtests show that our sentiment signals predict underperforming stocks, with higher model confidence in negative sentiment correlating to worse outcomes. These findings emphasize the value of fine-tuning models with expert-annotated data, and leveraging ESG sentiment signals to generate investment insights from qualitative data to enhance alpha generation.

### 12:10 PM–12:20 PM · Stop Hiring: Build an AI Workforce Instead
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Joel Yi (Deploy AI Bots)
Page: https://ai4.com/sessions/stop-hiring-build-an-ai-workforce-instead/

After training 300+ companies on deploying their first AI Agents, I'll show you how AI is moving beyond chatbots into fully autonomous systems that can run real parts of your business. Most companies are still experimenting with tools, but I’ll explain how to deploy AI agents that handle operations, sales, and customer support end-to-end. You’ll learn how SMBs are already replacing repetitive workflows with intelligent systems like OpenClaw and Hermes Agents. I’ll break down practical use cases, costs, and how to get started without a technical team. If you want to scale faster with fewer people, this session will give you the blueprint.

### 12:10 PM–12:30 PM · The End to Token Anxiety: Aible, NVIDIA & Dell
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Arijit Sengupta (Aible); Sama Bali (NVIDIA); Logan Lawler (Dell Technologies)
Page: https://ai4.com/sessions/the-end-to-token-anxiety-aible-nvidia-and-dell/

Companies are stuck between two choices: use frontier models spending unpredictable amounts on tokens or cobble together open source projects to create your own agentic AI solution. Aible worked closely with NVIDIA and Dell to create a complete genAI and agentic solution that delivers enterprise-strength AI without per-token costs. You can use Aible for standard genAI, agentic analytics, process automation, or even fully autonomous agents - all completely under your control at 10X lower costs.

### 12:10 PM–12:30 PM · The Loop, Not the Launch: Building Agents That Get Better With You
Solo Talk · AI Agents (technical) · Veronese Ballroom 2504
Speakers: Amanda Milberg (ElevenLabs)
Page: https://ai4.com/sessions/the-loop-not-the-launch-building-agents-that-get-better-with-you/

Agent building is a constant process of iteration, which raises two questions most teams don't have good answers to: how do you know when to stop, and how do you know what to improve next? In this talk, we'll share practical ways to identify what actually needs improving in an agent and how to prioritize those changes, plus techniques for building self-improving agents that can surface their own weak points. We'll also make the case for why full automation isn't the end goal, and where human review is what actually tells you the iteration is working, not just running. Attendees will leave with a framework for knowing when their agent is "done enough" and a concrete process for deciding what to fix next. If you've ever wondered whether you're improving your agent or just tinkering with it, this talk will give you the answer.

### 12:10 PM–12:30 PM · You Can't Automate What You Can't See
Solo Talk · CFO & Finance · Palazzo Ballroom E
Speakers: Thomas DeFabrizio (Impellam Group)
Page: https://ai4.com/sessions/you-can-t-automate-what-you-can-t-see/

Finance teams deployed AI at scale: 63% now use it, and only about 1 in 5 can prove it paid off. The gap is almost never the model; it is the machine the model is bolted onto, which means the data, the process, and who owns the decision. I will show you the pattern behind the finance AI use cases that are actually working right now, then go up close on a few, from reconciliations rebuilt in an afternoon to a company-wide reporting deck I rebuilt in days, not months. Then I will give you a five-step order of operations (see it, clean it, frame it, build it, refine it) that makes any of them repeatable and keeps AI from simply making the wrong number look official. I build these tools myself, including a diagnostic that runs live on a model's API, so expect a practitioner field report rather than a sales pitch. Come if you would rather architect the system that produces the future than report the past.

### 12:20 PM–12:30 PM · Autonomous Commerce Has Arrived
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Ben Seidl (Autolane)
Page: https://ai4.com/sessions/autonomous-commerce-has-arrived/

The next chapter of retail will be powered by the rise of physical AI and robotics.Since the early 1990s, e-commerce has played a pivotal role in digitizing and modernizing retail operations. What happens when we layer autonomous vehicles and robotics on top of a digitized retail system? A new industry paradigm that will transform the fundamentals of economics, operations, and consumer behavior across one of the largest global industries. We'll discuss what Autonomous Commerce is and how it will change everything we know about retail over the coming decades.

### 12:30 PM–2:00 PM · Lunch
Breaks & Meals · Halls B&C
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDQwMDQwMg==

### 2:00 PM–4:10 PM · Agentic Live Demos
Agentic Live Demo · Agentic Live Demos · Halls B&C
Page: https://ai4.com/sessions/agentic-live-demos-odu4oa/

Agentic AI has everybody talking—come see what's next.Experience AI in action at the Agentic Live Demo Stage, where innovators showcase real-world agentic AI through live demonstrations. Discover how AI agents are transforming workflows, solving complex challenges, and creating new possibilities across industries. The demos will run each afternoon in the Exhibit Hall.After the demos, continue the conversation by visiting exhibitors’ booths for deeper discussions, hands-on experiences, and insights into how the latest agentic technologies can help drive your organization forward.

### 2:00 PM–2:20 PM · AI Agents Beyond the Hype: Lessons from Enterprise Deployments
Solo Talk · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Koosha Golmohammadi (JP Morgan & Chase)
Page: https://ai4.com/sessions/ai-agents-beyond-the-hype-lessons-from-enterprise-deployments/

AI agent demos can be compelling and inexpensive to build, but deploying agents reliably at enterprise scale is far more difficult. I will share practical lessons from implementing agent-based AI systems in highly regulated and operationally complex environments. The talk will examine why promising prototypes often struggle in production and how data quality, orchestration, workflow design, human oversight, governance, and uncertainty management determine success. The session will offer a strategic perspective on selecting the right opportunities, anticipating common barriers to production, and assessing value beyond technical performance. It is designed for AI leaders and practitioners navigating the transition from compelling demonstrations to scalable, reliable, and business-aligned AI agent deployments.

### 2:00 PM–2:45 PM · AI Cloud Economics: Controlling Infrastructure Costs and Maximizing ROI
Panel Session · Infrastructure: Cloud Data Centers & Compute · Lando Ballroom 4203
Speakers: Ankur Saxena (TDK Ventures); Raghavendra Bagalkoti (Barclays); Abhinav Mahajan (Clayton Homes); Erik Peterson (CloudZero)
Page: https://ai4.com/sessions/ai-cloud-economics-controlling-infrastructure-costs-and-maximizing-roi/

As enterprise AI deployments mature from experimental pilots to mission-critical applications, managing the associated cloud infrastructure costs has become a top priority for the C-suite. This panel explores how organizations are balancing aggressive AI innovation with sustainable cloud spending. Enterprise leaders will share their strategies for forecasting compute costs, optimizing cloud resource allocation, and proving the business ROI of their infrastructure investments. Discover how to architect a cloud strategy that scales your AI capabilities without breaking your budget.

### 2:00 PM–2:20 PM · Architecting the Agentic Enterprise: How Non-Tech Organizations Can Prepare for AI at Scale
Solo Talk · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Tom Flanagan (RE/MAX)
Page: https://ai4.com/sessions/architecting-the-agentic-enterprise-how-non-tech-organizations-can-prepare-for-a/

As AI moves from prompts to agents, the real challenge to enterprise adoption is no longer experimentation but architecture. In this session, Tom Flanagan, CIO at REMAX, will share how senior IT leaders can prepare their organizations for the agentic era: from the infrastructure, governance and guardrails to support a non-technical workforce to the security, privacy and observability needed to deploy AI responsibly at scale. Drawing on his experience leading enterprise AI initiatives, Tom will discuss the foundational decisions organizations must make before agents can be deployed broadly. He'll explore how IT leaders can design the systems, controls and operating frameworks needed to support a secure, scalable and trusted agentic ecosystem.This session is designed for enterprise executives and transformation leaders focused on scaling AI beyond experimentation into trusted, secure and measurable business impact.

### 2:00 PM–2:20 PM · Beyond AI Hype: How Global Enterprises Build Sustainable AI Capabilities that Deliver Measurable Business Value
Solo Talk · Oversight: AI ROI · Palazzo Ballroom D
Speakers: Kader Sakkaria (Marsh)
Page: https://ai4.com/sessions/beyond-ai-hype-how-global-enterprises-build-sustainable-ai-capabilities-that-del/

Why do so many promising AI pilots fail to create lasting enterprise value? The challenge is rarely the technology alone—it is the organization’s ability to align strategy, data, governance, operating models, talent, adoption, and measurable outcomes.This session will present a practical executive framework for moving beyond isolated experimentation and building sustainable enterprise AI capability. Drawing on real-world transformation experience across global enterprises and the public sector, I will explain how leaders can create the foundations needed to scale AI responsibly and convert innovation into business performance.Attendees will learn how to:* Diagnose the organizational barriers preventing AI from scaling* Connect AI investments to growth, productivity, risk reduction, and customer value* Establish clear ownership, governance, and an operating model for enterprise execution* Build the data, talent, and adoption capabilities required for sustainable results* Measure AI success through business outcomes rather than technical activityExecutives, business leaders, and transformation practitioners will leave with a practical blueprint they can use to evaluate their current AI maturity, prioritize the capabilities that matter most, and turn AI ambition into measurable enterprise value.

### 2:00 PM–2:20 PM · Beyond Human - Elevating the Caller Experience with AI
Solo Talk · CX & Customer Service · Delfino Ballroom 4103
Speakers: Jason Rice (The Home Depot)
Page: https://ai4.com/sessions/beyond-human-elevating-the-caller-experience-with-ai/

What if your company could handle customer calls not just efficiently, but with an intelligence that goes beyond human capabilities? For years, our caller experience was fragmented, relying on a mix of legacy systems that couldn't keep up with our interconnected digital world. In this talk, I will share our journey of transforming this landscape by adopting an "AI-first" mindset. You will learn how we moved from basic AI trials to deploying sophisticated multi-agent systems, drastically improving our containment rates and achieving a complete shift in development speed. Join me to discover the key learnings from our transformation, and see how you can apply these strategies to elevate your own customer experience.

### 2:00 PM–2:20 PM · Capital, Code, or Contracts: A Data and AI Executive's Build vs Buy Playbook
Solo Talk · Data Analytics & BI · Palazzo Ballroom L
Speakers: Rachel Ibarra (Cardinal Group Management)
Page: https://ai4.com/sessions/capital-code-or-contracts-a-data-and-ai-executive-s-build-vs-buy-playbook/

The traditional "Build vs. Buy" dilemma is an outdated binary that limits how enterprise leaders actually drive value. As a Data and AI executive at a mid-market enterprise, I know firsthand that we must carefully balance our internal build capacity against the risks of system sprawl to architect a cohesive, governed ecosystem. In this session, I will explain how to move beyond this binary choice using a tactical "Build, Buy, Borrow, or Try" decision matrix. I will illustrate when you should leverage internal engineering versus when you should maximize efficiency and minimize risk by extending existing platforms or utilizing agile pilots. Join me to walk away with a practical framework for making tech investments that prioritize operational efficiency and improved decision-making above all else.

### 2:00 PM–2:45 PM · Closing Smarter: AI’s Role in Modern Sales Operations
Panel Session · Sales & Revenue Operations · Bellini Ballroom 2102
Speakers: Eric Seiberling (MXD Process); Olcay Bulgun Gardner (Sodexo); Chris Yeh (Blitzscaling Ventures); Charlie Wiebe (Nooks)
Page: https://ai4.com/sessions/closing-smarter-ai-s-role-in-modern-sales-operations/

Today’s high-performing sales teams are powered by AI. This panel explores how leading companies are using AI to identify top opportunities, automate admin tasks, and coach reps in real time. From forecasting accuracy to proposal generation, learn how AI is improving speed, consistency, and effectiveness across the sales funnel. Panelists will also address integration challenges and how to ensure reps trust the tools that guide their deals.

### 2:00 PM–2:20 PM · COCO: An Agentic AI Assistant for Marketing Analytics
Solo Talk · AI Agents (technical) · Veronese Ballroom 2504
Speakers: Shanshan Bi (Pfizer)
Page: https://ai4.com/sessions/coco-an-agentic-ai-assistant-for-marketing-analytics/

Marketing teams generate massive amounts of performance data — but extracting timely insights still requires SQL expertise, analyst queues, and days of turnaround. COCO is an agentic AI assistant that lets marketers ask natural language questions and receive data-driven answers in seconds. Built on a multi-agent orchestration architecture, COCO routes questions through specialized AI agents that understand marketing metrics, generate and execute SQL, and deliver human-readable insights across brand performance, omnichannel engagement, and patient trends. This session covers the journey from concept to production — including the architectural decisions behind multi-agent design, lessons learned from real-world evaluation at scale, and how we're using agentic AI to democratize data access for non-technical users in a regulated enterprise environment.

### 2:00 PM–2:20 PM · Fireside Chat with John Whyte, American Medical Association
Fireside Chat · Healthcare Care Providers · Marcello Ballroom 4404
Speakers: John Whyte (American Medical Association); Alice Park (TIME)
Page: https://ai4.com/sessions/fireside-chat-with-john-whyte-american-medical-association/

I will discuss w/Whyte the changing landscape of health-related policies in the US and the impact that has on the health of Americans, from cuts in biomedical research budgets to changes in vaccine policies.

### 2:00 PM–2:40 PM · From AI Investment to Margin Impact: How Banks Are Turning Intelligence Into Value
Fireside Chat · Financial Services Banks · Lando Ballroom 4204
Speakers: Sebastian Pellejero (Reuters Breakingviews); Kristin Milchanowski (BMO)
Page: https://ai4.com/sessions/from-ai-investment-to-margin-impact-how-banks-are-turning-intelligence-into-valu/

AI is no longer a technology cycle — it is a margin and execution cycle. Competitive advantage will not come from access to models, but from the ability to operationalize intelligence at scale with discipline, trust, and measurable outcomes.• Shift from experimentation to value creation• Execution discipline > model superiority• AI tied to revenue, efficiency, and risk outcomes• Trust and governance as prerequisites for scale

### 2:00 PM–2:45 PM · From Automation to Advantage: AI’s Impact on the Office of the CFO
Panel Session · CFO & Finance · Palazzo Ballroom E
Speakers: Joe Dormani (Thomson Reuters Ventures); Mayank Sharma (EnergyX); Yoav Naveh (Reindeer); Jonas Melton (RSM US LLP)
Page: https://ai4.com/sessions/from-automation-to-advantage-ai-s-impact-on-the-office-of-the-cfo/

Corporate finance leaders are shifting from reactive reporting to proactive insight—and AI is the engine. In this session, finance executives will unpack how they're deploying AI to modernize core functions and generate strategic foresight. Learn how AI is helping organizations identify risks earlier, forecast more accurately, and reduce costs through smart automation. Panelists will also discuss how they’re managing AI transparency, internal controls, and compliance amid evolving regulatory landscapes.

### 2:00 PM–2:20 PM · From Autonomy to Accountability: Designing Governance for the Agentic Era
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: JoAnn Stonier (Cantellus Group)
Page: https://ai4.com/sessions/from-autonomy-to-accountability-designing-governance-for-the-agentic-era/

For Agentic AI the question is no longer what can AI do, but who holds the authority when it does it. Executives and leaders need a roadmap to understand the challenge of operating systems that act, decide and coordinate once they are deployed. This requires a new approach to design and governance. Join JoAnn Stonier, an expert at the intersection of AI, Data and Design as she walks through how understanding "values before architecting" can assist all of us in creating better governance, accountability structures and human oversight into these new powerful systems from the very start - ensuring innovation, safety and performance scale together.

### 2:00 PM–2:20 PM · How to Build a Virtual Human for Drug Discovery
Solo Talk · AI Research Summit (technical) · Venetian Ballroom A
Speakers: Gregory Koytiger (Synthesize Bio)
Page: https://ai4.com/sessions/how-to-build-a-virtual-human-for-drug-discovery/

Can we predict how a patient will respond to a therapy - including novel ones not yet in the clinic? Doing so would improve personalized treatment and accelerate the discovery of new medicines but requires overcoming significant challenges. In this talk, I will cover Synthesize Bio's approach to the problem and how we are building virtual humans to model therapeutic outcomes

### 2:00 PM–2:20 PM · Human + AI: How Indeed is Transforming a Global Workforce
Fireside Chat · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Anthony Moisant (Indeed); Kristin Stoller (Fortune)
Page: https://ai4.com/sessions/human-ai-how-indeed-is-transforming-a-global-workforce/

How does the world’s #1 job site in the world move at the speed of AI without breaking the foundation of human trust?As both CIO and CSO at Indeed, Anthony Moisant operates at the critical intersection of speed and safety. He is the architect of a "safe speed" philosophy, driving radical innovation through Agentic AI while safeguarding the human trust of the hundreds of millions of job seekers and employers that depend on the platform.Join Indeed CIO and CSO Anthony Moisant in conversation with Kristin Stoller, editorial director at Fortune to discuss how Indeed is transforming a global workforce into an AI-first, agentic organization while balancing the relentless drive for innovation with the absolute necessity of security and data integrity. This isn't just about new tools, it's about a fundamental shift in how employees interact with AI to automate the mundane and unlock a new tier of human creativity and strategy.

### 2:00 PM–2:50 PM · Human-Tech Adaptation: Operationalizing Responsible AI Across the Enterprise [RSVP REQUIRED]
Roundtable · Roundtable · Room 305
Speakers: Hemachandran Kannan (Woxsen University)
Page: https://ai4.com/sessions/human-tech-adaptation-operationalizing-responsible-ai-across-the-enterprise-rsvp/

This event requires an RSVP; to attend, submit form hereMost organizations have AI policy-but no real operational playbook to make it work. In this roundtable, I will challenge participants to identify the human, governance, and change-management failures that block AI adoption inside their enterprises. We will surface real-world cases, compare readiness models, and explore the Human-Tech Adaptation Index (HTAI) as a possible framework for scaling AI responsibly. The session is designed to be interactive, with peer-driven insights and moderated exchange across sectors. Join us if you want a candid conversation-not theory-on turning AI ambition into execution.

### 2:00 PM–2:20 PM · Living Platform: How AI is Transforming the Information Technology Model
Solo Talk · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Christine Palmer (Peraton)
Page: https://ai4.com/sessions/living-platform-how-ai-is-transforming-the-information-technology-model/

Do you want to experience the future of information? Every generation of computing has asked the same thing of us. Adapt yourself to the tool, and someone else will decide what the tool can do. Agentic AI is already starting down that same path, but this time we don't have to wait. Frontier models have turned language into an interface. Anyone who can describe an idea can now put it in motion, and the systems built on top can reason across whatever scenario is handed to them, without demanding a new ontology or data model each time. That changes what information technology fundamentally is. It stops being something we assemble and becomes something that grows in real time, with the people using it. This session looks at the shape of work on the other side of that shift - how people think and create when the wait is gone, how you build when the tool moves at the speed of the idea, and how the act of building together is what turns information technology into a living platform.

### 2:00 PM–2:10 PM · OneNine | Building the AI Data Infrastructure for Low Resource Languages
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Robert Bob Okello (OneNine)
Page: https://ai4.com/sessions/onenine-building-the-ai-data-infrastructure-for-low-resource-languages/

Here is a challenge that most AI builders still overlook: today’s AI understands only about 100 languages, yet the world speaks nearly 7,000. This gap leaves more than four billion people unheard and unserved by systems that claim to understand humanity. In this talk I will explain why inclusive language data infrastructure matters, what foundational shifts are required, and how OneNine is building the pipelines, processes, and quality frameworks to fix it. I will illustrate real examples of production-ready datasets, share lessons from global linguist networks, and show how this work powers better models and broader access. Attendees will leave with practical insights into scaling multilingual data for real AI products and why inclusive data is central to the next phase of AI impact. This talk is for anyone who builds, leads, or deploys AI systems that must serve everyone; not just the few. Join the OneNine movement to expand the foundational data layer of AI.

### 2:00 PM–2:20 PM · Power Is the New Moat
Solo Talk · Energy · Titian Ballroom 2304
Speakers: Tim Latimer (Fervo Energy)
Page: https://ai4.com/sessions/power-is-the-new-moat/

The AI revolution has an energy problem. Every model trained, every inference run, every data center scaled demands massive, reliable power. I'll make the case that the companies who solve the energy problem will be the ones who win the AI race, and that geothermal is the only source that delivers the always-on, zero-carbon baseload that AI infrastructure actually requires. Attendees will leave with a new lens on AI's physical limits and a clear view of why enhanced geothermal is the most consequential energy bet of the next decade. If you're building AI and you haven't thought seriously about where the power comes from, this is the talk to attend.

### 2:00 PM–2:40 PM · The AI Rush Is Making Contract Intelligence Cost More - Not Less: Why AI Fails Without Governed Contract Data
Solo Talk · Enterprise Architecture · Palazzo Ballroom B
Speakers: Naresh Kommula (McKesson)
Page: https://ai4.com/sessions/the-ai-rush-is-making-contract-intelligence-cost-more-not-less-why-ai-fails-with/

AI is making it easier than ever to build & deploy contract intelligence solutions, yet many organizations are experiencing rising complexity, governance overhead, and inconsistent AI outcomes. As AI expands across legal, procurement, finance, compliance, and operations, organizations often create multiple versions of contract intelligence, each with its own obligation models, governance processes, and data pipelines. This session explores why contracts must be treated as governed enterprise data assets rather than unstructured documents. Attendees will learn how the Governed Contract Data Layer (GCDL) and Contract Obligation Intelligence Framework (COIF) can create a shared operational language for contractual obligations, improve compliance, reduce duplication, and provide a trusted foundation for scalable AI and emerging agentic capabilities.

### 2:00 PM–2:20 PM · The Architecture Behind Business Transformation: How WEX Built an AI-Native Data Platform
Solo Talk · Infrastructure: Data Platforms & Strategy · Titian Ballroom 2302
Speakers: Mohamed Battisha (Wex Inc)
Page: https://ai4.com/sessions/the-architecture-behind-business-transformation-how-wex-built-an-ai-native-data/

Session Description: What does it take to move from experimenting with AI to building an enterprise that is truly AI-native? This talk presents a practical architecture for connecting trusted data, semantic objects, business context, ontology, governance, and agentic orchestration into one cohesive foundation for enterprise AI. The session will explore why traditional data platforms are not enough for agentic systems, and how an AI-native data architecture must make enterprise data understandable, actionable, governed, and reusable. Attendees will learn how each architectural layer contributes to scaling AI—from data acquisition and certified datasets to semantic modeling, context engineering, control planes, and AI-powered products and workflows. The talk will provide a blueprint for organizations looking to turn data platforms into enterprise knowledge systems that can support trusted automation and measurable business outcomes.

### 2:00 PM–2:20 PM · The Future of Hollywood--Why AI and Major Movie Studio Filmmaking are on a Collision Course
Fireside Chat · Generative AI: Applications & Use Cases · Venetian Ballroom E
Speakers: Pouya Shahbazian (Staircase Studios AI); Maxwell Millington (Freelance)
Page: https://ai4.com/sessions/the-future-of-hollywood-why-ai-and-major-movie-studio-filmmaking-are-on-a-collis/

Hollywood doesn’t get to opt out of AI. With billions of people worldwide already using the latest tools and studios like Disney embracing them in real time and making deals with the hyperscalers, the question isn’t if movies change—but who adapts fast enough to survive it. Veteran film & television producer turned Staircase Studios AI founder & CEO Pouya Shahbazian breaks down why AI is forcing Hollywood’s hand, what breaks first, and how the next era of filmmaking is being built.This is a conversation about understanding where Hollywood is heading—and how to stay ahead of it.

### 2:00 PM–2:20 PM · The Governance Imperative for Artificial Intelligence
Solo Talk · AI Policy Summit · Titian Ballroom 2306
Speakers: Nathan Persily (Stanford Law School)
Page: https://ai4.com/sessions/the-governance-imperative-for-artificial-intelligence/

Nearly everyone in the AI ecosystem has come to the realization that we cannot proceed along the ungoverned path that has characterized AI development. In the past month alone, we have witnessed rogue agents breaking out of corporate sandboxes to penetrate external websites, ad hoc bans on certain models because of their security implications, new US export controls on Chinese humanoid robots, and rising geopolitical tensions as Chinese models close the gaps on their US competitors. At the same time, the leaders of the AI industry are proposing their own rules of the road for AI development, leading to charges of industry capture or competition concerns. This keynote will set the stage for the succeeding discussions on AI governance throughout the day. It will explore the key political and technological obstacles that have prevented a global consensus on AI governance and how we can begin to govern our AI future.

### 2:00 PM–2:20 PM · The Token Maxing Myth: Optimize Agents for Max Value
Solo Talk · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Khalid Turk (Santa Clara Valley Healthcare)
Page: https://ai4.com/sessions/the-token-maxing-myth-optimize-agents-for-max-value/

### 2:00 PM–2:15 PM · Trusted AI Starts with AI-Ready Data
Agentic Live Demo · Agentic Live Demos · Halls B&C
Page: https://ai4.com/sessions/trusted-ai-starts-with-ai-ready-data/

AI agents are only as reliable as the data they consume. This talk explains how AI-native observability, automated quality validation, and business context prevent hallucinations, detect data drift, and build trust in enterprise AI. Real examples will show how organizations improve AI accuracy while reducing operational risk.

### 2:00 PM–2:20 PM · User-Centered Design Powers Better AI
Solo Talk · Product Design · Marcello Ballroom 4403
Speakers: Amber Rowland (University of Kansas)
Page: https://ai4.com/sessions/user-centered-design-powers-better-ai/

Effective AI-enabled edtech starts with users. Join us to explore how our team combines iterative user experience research, user co-design, and evidence-based learning science to create AI products that are intuitive, effective, and drive customer retention. We will share practical takeaways through the story of VOISS, our newly commercialized AI-powered simulation platform that helps adolescents build critical social skills. Grounded in academic research and proven success, you’ll see how our design process yields transformative tools and offers attendees a model for scalable, user-driven innovation. Whether you are developing AI tools, conducting research, or shaping learning experiences, this session will give you actionable strategies for building technology that is relevant, effective, and loved by users.

### 2:00 PM–2:45 PM · Vibe-Code an App on Multimodal Analytics [HANDS ON; LAPTOP REQUIRED]
Workshop Google Stage · Google Cloud Programming · Bellini Ballroom 2104
Speakers: Lucia Subatin (Google Cloud)
Page: https://ai4.com/sessions/vibe-code-an-app-on-multimodal-analytics-hands-on-laptop-required/

**Important Note**: This hands-on, interactive workshop is led by Google Cloud and is open to all Ai4 attendees at no additional cost. No RSVP or separate registration is required. To participate and get the most out of this session, please bring your own device (a laptop is recommended). Devices will not be provided on-site.ABOUT THIS WORKSHOP:Learn how to search through video, audio and flat files from SQL statements to equip your applications and agents with multimodal analysis. Vibe-code a Cloud Run web application to see the power of semantic search over different types of files in action.

### 2:10 PM–2:20 PM · When Your AI Talks to Your Customers: Making Agent Answers Trustworthy Enough to Ship
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Luke Pendergrass (Xorq Labs, Inc.)
Page: https://ai4.com/sessions/when-your-ai-talks-to-your-customers-making-agent-answers-trustworthy-enough-to/

Every enterprise wants to put AI and agents in front of its own customers. Few can, because one hallucinated number breaks trust and, in regulated industries, becomes a liability. This session examines the verification problem behind customer-facing AI — lineage, deterministic checks, and provable answers — and what it takes to ship intelligence others can rely on.

### 2:20 PM–2:35 PM · IX Agentic AI Accelerator: Building Enterprise Agentic AI the Right Way
Agentic Live Demo · Agentic Live Demos · Halls B&C
Page: https://ai4.com/sessions/ix-agentic-ai-accelerator-building-enterprise-agentic-ai-the-right-way/

Building enterprise-grade Agentic AI requires far more than connecting LLMs and AI agents. Organizations need a production-ready framework that addresses orchestration, governance, security, observability, scalability, enterprise integrations, and compliance from day one.Join us for a live demonstration of the IX Agentic AI Accelerator a mature, enterprise-ready framework that has been successfully deployed across multiple enterprise implementations. Built using proven architectural patterns and reusable components, IX enables organizations to rapidly design, build, orchestrate, deploy, and scale secure, production-ready Agentic AI solutions while significantly reducing implementation time and project risk.The framework delivers a complete enterprise Agentic AI architecture, including multi-agent orchestration, specialized AI agents, planning and reasoning, memory and knowledge layers, Model Context Protocol (MCP) integration, enterprise connectors, human-in-the-loop workflows, guardrails, governance, observability, monitoring, and comprehensive security controls. Its Zero-Leak Architecture ensures enterprise data remains protected through secure execution, controlled access, policy enforcement, and enterprise-grade governance.During this session, you’ll see how IX helps organizations move beyond AI pilots to enterprise-scale deployments through a repeatable, extensible framework that accelerates innovation without compromising security, compliance, performance, or operational excellence.Key Takeaways1. Discover a proven, production-ready Enterprise Agentic AI framework deployed across multiple enterprise use cases.2. Explore a complete enterprise architecture for building and orchestrating intelligent multi-agent systems.3. Learn how the Zero-Leak Architecture safeguards sensitive enterprise data while enabling secure AI adoption.4. See how reusable components, enterprise integrations, built-in governance, and observability accelerate delivery while reducing implementation risk.5. Understand how to standardize, govern, and scale Agentic AI initiatives across the enterprise with a future-ready platform.

### 2:25 PM–2:45 PM · Agentic Planning in Supply Chains: Hype or the Next Operating Reality?
Solo Talk · Generative AI: Applications & Use Cases · Venetian Ballroom E
Speakers: Aanish Singla (Nagarro)
Page: https://ai4.com/sessions/agentic-planning-in-supply-chains-hype-or-the-next-operating-reality/

What happens when forecasts, inventory positions, market signals, and business plans are continuously connected rather than reviewed once a month? This session will explore how Agentic AI is reshaping the planning landscape - from demand sensing and scenario evaluation to cross-functional alignment and plan execution. I'll demonstrate a new planning approach that adapts to changing conditions, surfaces trade-offs, explains itself, and speeds up decision-making. Attendees will gain a practical view of what is possible today, what remains challenging, and how leading organizations are beginning to rethink IBP and S&OP. Join the session to see whether agentic planning is hype or the start of a fundamentally different planning model.

### 2:25 PM–3:15 PM · Building AI-Ready Platforms: Architectures That Outlive Technology [RSVP REQUIRED]
Roundtable · Roundtable (technical) · Room 310
Speakers: Sharon Gorla (Starbucks)
Page: https://ai4.com/sessions/building-ai-ready-platforms-architectures-that-outlive-technology-rsvp-required/

This event requires an RSVP; to attend, submit form hereAI is changing how we build software, but is it changing what great platforms should be built upon? This roundtable will explore how enterprise platforms can evolve to support AI agents, copilots, and future technologies without constantly rebuilding the foundations underneath. Together, we'll explore practical architectural patterns including semantic contracts, orchestration layers, APIs, governance, and organizational alignment and examine which ideas are proving more durable than the technologies themselves. I'll facilitate an open discussion around real-world trade-offs, lessons learned, and emerging best practices from enterprise platform modernization. If you're thinking beyond today's AI frameworks and wondering what should still matter five years from now, this conversation is for you. Bring your own experiences, challenges, and questions we'll learn from each other as we explore what it takes to build platforms that outlive today's technology choices.

### 2:25 PM–2:45 PM · Building the Document Context Layer for AI Agents
Solo Talk · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Jerry Liu (LlamaIndex)
Page: https://ai4.com/sessions/building-the-document-context-layer-for-ai-agents/

~90% of enterprise data is unstructured, and a lot of that lives in the form of documents - PDFs, pptx, docx, etc. - powering a majority of enterprise knowledge work.AI agents have the potential to simultaneously better make sense of docs and also automate human workflows over them. Existing document AI use cases have either been long-running but constrained (e.g. a batch invoice processing through RPA), or non-deterministic but short-horizon (e.g. ChatGPT deep research over a collection of existing files). Going forward there's a huge opportunity to build long-running agents that can understand, reason over, and edit documents at scale.In this session, we'll walk through core advances in document OCR and agent orchestration that have given rise to initial use cases around doc extraction workflows and general-purpose chatbots (and share real-world customer use cases). We will then articulate some of the remaining gaps needed to achieve "long-running" document work automation.

### 2:25 PM–3:05 PM · Cheap to Write, Expensive to Trust: Architecting Production Systems with LLMs
Solo Talk · Coding Assistants & Vibe Coding (technical) · Venetian Ballroom A
Speakers: Kshitij Gupta (Meta)
Page: https://ai4.com/sessions/cheap-to-write-expensive-to-trust-architecting-production-systems-with-llms/

LLMs made code cheap to write, but they did nothing to make it cheap to trust: the most dangerous output is plausible-but-wrong code that compiles, passes review, and sails through green CI while being quietly wrong about what the system was supposed to mean. As models write more of our codebases, the bottleneck shifts from authoring to verification, and the real engineering question becomes placement: where do you let a model propose, and where must deterministic, human-owned code dispose before anything ships? I'll share a mental model for drawing that line: a small deterministic core that guards money, auth, and invariants, a large generative shell for scaffolding, glue, and drafts, and one clear gate between them, all governed by a single rule, which is to put the model where checking is cheaper than doing. I'll then transplant the ML-reliability playbook you already trust (offline eval gates, canary and ramp, rollback and kill-switch) onto LLM-written code, so trust comes from the harness around the model, not faith in the model itself. You'll leave able to draw that boundary for your own systems, with a concrete Monday-morning checklist for what to automate, what to gate, and what to keep human-owned. Done right, this is the highest-leverage shift of the decade: contained, the gate isn't a tax on AI, it's the permission slip that lets you bet big on the model. If you're responsible for code you didn't write (an LLM did) but still have to trust it in production, this session gives you a defensible way to decide where the machine stops and your guarantees begin.

### 2:25 PM–2:35 PM · Computer Vision Is a Lifecycle Problem, Not a Model Problem
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Chandler Provence (IRIS)
Page: https://ai4.com/sessions/computer-vision-is-a-lifecycle-problem-not-a-model-problem/

Computer vision no longer fails because usable models are missing. It fails because the deployment loop around those models is fragmented: data curation, validation, architecture selection, edge deployment, and safe updates all live in different tools and under different assumptions. I’ll walk through how we approach this differently with a control layer that compresses that loop into a single system, and why optimizing time-to-learning matters more than chasing marginal accuracy gains. You’ll see real examples where recall, consistency, and failure modes matter more than benchmark scores. If you care about building vision systems that actually survive real-world conditions, this talk will change how you think about the stack.

### 2:25 PM–2:45 PM · Confident machines: Why AI's trust problem starts before the model ever runs
Solo Talk · Data Analytics & BI · Palazzo Ballroom L
Speakers: Sue Weng-Cross (Wiley)
Page: https://ai4.com/sessions/confident-machines-why-ai-s-trust-problem-starts-before-the-model-ever-runs/

Knowledge is compounding faster than anyone can keep up with — in medicine, research output is doubling every 73 days; in almost every other field, the story is the same: more papers, more reports, more data than any person or team can read. People are drowning in information, yet starved for valuable insights they can trust.Every model builds or breaks trust at three layers: what it knows, how it reasons, and how it's deployed. Right now, the entire industry is obsessing over tuning guardrails and alignment, while the foundation underneath goes almost completely unchecked. The result: AI systems that sound certain while citing Reddit threads as gospel, hallucinating peer review out of thin air, and manufacturing false confidence at exactly the moments people need real answers. And the stakes are rising fast. We’re no longer just prompting a chatbot, we're deploying agents that search, retrieve, reason, and act in multi-step chains. If the knowledge layer is flawed, an agent doesn't make one mistake; it makes a decision, then builds more decisions on top of it, each one inheriting and compounding whatever it got wrong at the start. And the cost compounds too: now the mistake isn't caught early, it's caught downstream, where it's far more expensive to unwind. This session breaks down three layers of trust, and makes the case that the one nobody's watching is the one that decides everything else. This talk flips the responsible AI conversation upside down — from outputs to foundations — showing exactly what breaks when the knowledge layer is rotten, what happens when agentic systems build on it, and what becomes possible when it's solid.

### 2:25 PM–2:45 PM · Enterprise Transformation Takes More Than Tools: A Practical Path From AI Spend to AI Capability
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Chris Weidemann (Advisor Labs)
Page: https://ai4.com/sessions/enterprise-transformation-takes-more-than-tools-a-practical-path-from-ai-spend-t/

Every enterprise bought AI tools this year. Almost none got enterprise results. The pressure to show real value from AI has never been higher, and buying more software is not the answer. This talk will explore why AI wins for individuals rarely become wins for the enterprise, and what the organizations breaking through do differently. You will leave with a clear picture of the gap between AI adoption and AI capability, and practical steps to start closing it. If you are responsible for making AI deliver, start here.

### 2:25 PM–2:45 PM · Federal vs. State: AGs, Governors & Congress on Who Should Govern AI
Panel Session AI Policy Summit · AI Policy Summit · Titian Ballroom 2306
Speakers: Dan Donovan (RegulatingAI); Soumitra Dutta (Cornell University); Shreya Amin (Minsphere)
Page: https://ai4.com/sessions/federal-vs-state-ags-governors-and-congress-on-who-should-govern-ai/

A multi-level debate bringing together sitting Attorney Generals, Governors, and Members of Congress to examine the most explosive fault line in U.S. AI governance: federal preemption of state AI laws. Connecticut just passed sweeping AI legislation (May 2026), Delaware is pioneering a first-in-nation OpenAI certification partnership, and Colorado's AI Act takes effect June 30, 2026 — while Washington pushes for a single national standard. Who wins, and what does it mean for every company operating across state lines?

### 2:25 PM–2:45 PM · Finance Doesn't Need More Automation. It Needs Autonomous Execution.
Solo Talk · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Deepak Anchala (Adopt AI)
Page: https://ai4.com/sessions/finance-doesn-t-need-more-automation-it-needs-autonomous-execution/

What if your next finance transformation didn't require replacing your ERP?Finance has spent decades investing in ERP, automation, and analytics, yet many of its most critical processes remain manual, fragmented, and dependent on human coordination.Join leaders from Adopt AI to explore where autonomous agents are creating measurable value across finance operations and learn a practical framework for identifying the workflows that should be transformed first.See how leading finance teams are moving beyond automation to autonomous execution.

### 2:25 PM–2:45 PM · From Data Overload to Grid Intelligence: How AI-Powered Visualization Is Transforming Utility Operations
Solo Talk · Energy · Titian Ballroom 2304
Speakers: Edward Tavares (Hawaiian Electric Company)
Page: https://ai4.com/sessions/from-data-overload-to-grid-intelligence-how-ai-powered-visualization-is-transfor/

Utilities don't have a data problem—they have a decision problem. This talk will illustrate how artificial intelligence can transform disconnected operational and enterprise data into trusted Decision Intelligence by providing the context needed to make faster, more informed decisions. I will demonstrate how AI-powered visualization can create a single operational picture of the grid by integrating assets, weather, outages, customer impacts, cybersecurity, and other critical information into an intuitive environment that supports operators and executives alike. Attendees will learn a practical framework for evolving beyond dashboards toward an AI-enabled Decision Intelligence platform that improves reliability, resilience, operational performance, and customer outcomes while keeping humans at the center of every critical decision. Join this session to see how AI becomes an enabler of better decisions—not just another source of information.

### 2:25 PM–2:45 PM · How Agentic Voice AI is Reshaping CX Outcomes
Solo Talk · CX & Customer Service · Delfino Ballroom 4103
Speakers: Amir Hameed (RingCentral); Frank Pettinato (Avantive Solutions)
Page: https://ai4.com/sessions/how-agentic-voice-ai-is-reshaping-cx-outcomes/

Most enterprises have automated customer interactions, yet few have orchestrated them. Agentic Voice AI goes beyond automation, reasoning across conversations, enterprise data, workflows, and human expertise to achieve outcomes. This session explores how enterprises move from AI agents that respond to requests to agentic systems that orchestrate intelligent customer engagement across voice and digital channels. Drawing on real-world deployments, we'll examine the architectural decisions, governance, and operational practices that distinguish successful production deployments from stalled pilots. Attendees will leave with actionable frameworks and scaling considerations you can apply immediately.

### 2:25 PM–3:05 PM · I Couldn't Buy It So I Built It: Citizen Developers Building AI Applications - Nina Eisenberg and Robert Greisemer
Solo Talk · AI Agents (technical) · Veronese Ballroom 2504
Speakers: Robert Greisemer (Coinbase); Nina Eisenberg (Coinbase)
Page: https://ai4.com/sessions/i-couldn-t-buy-it-so-i-built-it-citizen-developers-building-ai-applications-nina/

What happens when the tool your enterprise team needs does not exist — and the person closest to the problem is not an engineer?This talk will illustrate how a non-technical lawyer used AI coding tools to build an enterprise AI application after existing vendor options could not meet the team’s needs. The broader lesson is timely for AI4’s audience: as AI coding and agentic tools mature, domain experts can move from “requesting software” to building meaningful prototypes themselves, but enterprise deployment still requires security, reliability, privacy, and operational guardrails.We will walk through the journey from a local “vibe-coded” MVP to an enterprise-ready application, including the practical controls needed to harden AI-assisted builds: authentication, RBAC, PII handling, observability, testing, and secure deployment patterns. Attendees will leave with a real-world collaboration model for pairing domain expertise with security and platform engineering so teams can move fast without creating unacceptable risk.If you are trying to understand what AI-enabled builders mean for the future of enterprise software, this talk will show what is already possible — and what it takes to make it safe.

### 2:25 PM–2:45 PM · Kiteworks: Controlling Data Access and Use by AI Agents for Compliant AI
Solo Talk · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Craig Pfister (Kiteworks)
Page: https://ai4.com/sessions/kiteworks-controlling-data-access-and-use-by-ai-agents-for-compliant-ai/

I've watched organizations rush AI adoption straight into a compliance crisis — and the gap is always the same. Regulated data doesn't stay put when agents are in the loop. AI agents autonomously push private data across compliance boundaries, routing it through systems and workflows that traditional security was never designed to monitor, much less control.The problem isn't that AI is inherently risky. The problem is that most organizations are governing AI outputs without governing the data underneath them. That's where exposure lives.In this session, I'll show you how Kiteworks Compliant AI closes that gap. We'll walk through how to apply attribute-based access control so agents only touch what they're authorized to touch, how real-time policy enforcement stops violations before they happen rather than flagging them after the fact, and how comprehensive AI audit trails give you the visibility regulators expect and your security, compliance, and legal teams need. You'll also see how granular controls let you define exactly how agents interact with sensitive data — not just whether they can access it, but what they can do with it, where it can go, and who gets notified when boundaries are tested.You'll leave with a concrete framework for governing data in motion, not just data at rest. If your organization is deploying AI in a regulated environment — healthcare, financial services, defense, government, manufacturing, and others — this session is the one you can't afford to skip.

### 2:25 PM–2:45 PM · Moving from Agent Sprawl to Governed Scale
Solo Talk · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Sunil Murthy (IBM)
Page: https://ai4.com/sessions/moving-from-agent-sprawl-to-governed-scale/

As companies build AI agents across teams, tools, models, and clouds, the biggest challenge is not creating agents - it is how to scale agentic AI without losing visibility, control and accountability. Traditional GRC governance and agent runtime operations often work in separate worlds, making it hard to connect policies, controls, evidence, and oversight.In this session, we’ll explore why orchestration and governance must come together as enterprises adopt AI agents at scale. Together, these capabilities help organizations connect governance intent to agent runtime controls. he result is a more trusted, measurable, and scalable path to agentic AI adoption.

### 2:25 PM–2:45 PM · Realtime Operational Instrumentation in Healthcare: AI Analytics in Action
Solo Talk · Healthcare Care Providers · Marcello Ballroom 4404
Speakers: Akbar Esfahani (Central California Alliance for Health)
Page: https://ai4.com/sessions/realtime-operational-instrumentation-in-healthcare-ai-analytics-in-action/

What if the problem with healthcare analytics isn't the models, but the fact that someone has to go somewhere to look at them? Most organizations deliver intelligence as dashboards, reports you visit after the work is done, while the decisions that matter are made inside workflows the dashboard never touches. I will show how my team at a Medi-Cal health plan serving 420,000 members replaced this pattern with operational instruments: AI-driven systems embedded at the moment of work, from provider dispute resolution that cut median close time from 57 days to 24, to compliance audits where regulatory rules are enforced by the architecture itself. Attendees will learn the design principles that separate an instrument from a dashboard, how to firewall risk models from the decisions they inform, and how to build this inside a regulated environment without waiting for an AI strategy to be approved. If your organization is still debating AI while the work piles up, this talk is the operating manual for starting anyway.

### 2:25 PM–2:45 PM · Reinventing Legacy Brands - Breaking the Rules Without Breaking the Brand
Solo Talk · Retail CPG & Ecommerce · Marcello Ballroom 4403
Speakers: Samantha Lomow (Tupperware)
Page: https://ai4.com/sessions/reinventing-legacy-brands-breaking-the-rules-without-breaking-the-brand/

What does it take for an iconic brand to reinvent itself in the age of AI?For more than 25 years, I've had the privilege of helping reinvent some of the world's most iconic brands, including Hasbro, Foot Locker, and Tupperware. Across very different industries, business models, and moments of disruption, I've learned that the hardest part of transformation isn't building what's next; it's knowing what to leave behind.In this session, I'll share candid stories and practical lessons from leading large-scale business transformations, including Tupperware's reinvention following bankruptcy and the role AI played in accelerating new ways of working. You'll leave with fresh perspectives on leading transformation, navigating AI in legacy organizations, and helping your people embrace what's next without losing what matters most.If you're leading a legacy business or simply preparing your organization for what's next, I hope you'll join me for a conversation about reinvention, leadership, and the future of iconic brands.

### 2:25 PM–2:45 PM · Taming Token Town: Staying Flexible as Models Get Pricier
Solo Talk · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Sarah Sachs (Notion)
Page: https://ai4.com/sessions/taming-token-town-staying-flexible-as-models-get-pricier/

The token market is the Wild West, and if you’re building on frontier models, your pricing and margins can change overnight without warning.As frontier labs raise prices, deprecate “good enough” models, and move up the stack into first-party products, applied AI companies are increasingly buying from suppliers who may also become their competitors. That makes compute procurement, model optionality, and open-weight strategy not just an ops problem, but a core product strategy decision.At this talk, you’ll learn how to think about AI cost as *cost per task* (not cost per token), how to preserve leverage in negotiations by maintaining real optionality across providers, and where open-weight models can create immediate cost relief and long-term pricing pressure. You’ll also leave with concrete tactics for building value beyond tokens through architecture, orchestration, and durable product moats.Come for a behind-the-scenes buyer’s view of frontier pricing, and leave with a playbook to protect flexibility, margins, and customer trust as the AI market evolves.

### 2:25 PM–2:45 PM · Your Data Is Already Ready for AI: Exploring the Missing Knowledge Layer Between Raw Information & Trustworthy Agents
Solo Talk · Infrastructure: Data Platforms & Strategy · Titian Ballroom 2302
Speakers: Rohan Kodialam (Sphinx AI)
Page: https://ai4.com/sessions/your-data-is-already-ready-for-ai-exploring-the-missing-knowledge-layer-between/

AI may dramatically accelerate how data work gets done, but speed alone does not create accuracy, repeatability, or confidence.Data by itself is not enough. Enterprise knowledge is what makes data usable in a real business context. It is why senior data experts are so valuable: they understand not just where the data lives, but how the business defines, uses, interprets, and reasons about it.Organizations that systematically capture and operationalize this knowledge will be the ones that unlock autonomous agents and democratize data-driven decision-making across functions.In this talk, we’ll explore the evolution of semantic layers and why enterprise AI requires a more flexible approach than the rigid ontologies of the past. We’ll share how governed enterprise data knowledge layers enables AI agents to work as exceptional data scientists, and walk through examples of how companies are turning institutional and tribal data knowledge into competitive advantage.

### 2:35 PM–2:45 PM · Make Your Website the Source, not the Search Result.
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Ben Gunther (eSEOspace)
Page: https://ai4.com/sessions/make-your-website-the-source-not-the-search-result/

When someone asks an LLM a question in your industry, does your website get cited - or does a competitor? AI systems don't read your site the way people do: they pull the raw HTML, split it into passages, and decide what to quote based on structure and verifiable credibility, not visual design. Most well-designed sites lose at that stage without ever knowing it, because nothing in your analytics reports a citation you didn't get. In this talk you'll learn exactly how an AI system reads a page: clean markup, self-contained passages, structured data, and E-E-A-T - that determine whether you're quoted, and how AI agents can build and maintain that structure for you. You'll leave with a concrete checklist you can run against your own site the same afternoon. If your site is invisible to the answer, you're invisible to the customer. Come find out why, and what to do about it.

### 2:40 PM–2:55 PM · How H Company Agents Do Real Enterprise Work, Live
Agentic Live Demo · Agentic Live Demos · Halls B&C
Page: https://ai4.com/sessions/how-h-company-agents-do-real-enterprise-work-live/

Your most important software has no API. Agents can use it anyway.This talk shows how H Company computer-use agents operate real enterprise software the way a person does, screenshot to click, across functions like Sales, Operations, and Procurement.There will be a live demo of agents handling an end-to-end workflow on the H Platform, with humans stepping in only where it matters. You will see orchestration, parallel execution, and human-in-the-loop checkpoints on a real process. The demo doesn't stop at technical capability. It gets into the concrete ROI: not just time saved and cost reduced, but new revenue unlocked.Come see what production-grade agentic work actually looks like.

### 2:50 PM–3:10 PM · AI Communications and Interactions Governance: Manage AI Risks In the Enterprise
Solo Talk · Financial Services Banks · Lando Ballroom 4204
Speakers: Devin Redmond (Theta Lake)
Page: https://ai4.com/sessions/ai-communications-and-interactions-governance-manage-ai-risks-in-the-enterprise/

99% of organizations are expanding their use of AI this year. Yet, 88% cite challenges with governance and security. Join Theta Lake as they provide real-world risk examples in AI usage in the enterprise. Across AI summary steering, confidential data over-sharing and guardrail alert fatigue, Theta Lake will discuss approaches organizations can take with their technology stack and teams to reduce risks more efficiently in an AI-powered workplace.

### 2:50 PM–3:10 PM · AI on the Ballot
Panel Session AI Policy Summit · AI Policy Summit · Titian Ballroom 2306
Speakers: Kevin Frazier (The University of Texas School of Law); Jon Porter (Porter Group LLC); Bob Lucey (Porter Group)
Page: https://ai4.com/sessions/ai-on-the-ballot/

As the United States heads toward critical midterm elections, artificial intelligence is no longer a future tech issue—it is actively shaping the democratic process. From AI-generated political campaigns and deepfake disinhibition to micro-targeted voter outreach and automated election administration, technology is redefining how campaigns are run and how voters consume information. This session explores the dual nature of AI on the ballot: its power to optimize political engagement versus its potential to disrupt election integrity, spread algorithmic misinformation, and challenge public trust in democratic institutions.

### 2:50 PM–3:10 PM · Beyond the Scribe: What Happens When AI Runs the Medical Visit
Fireside Chat · AI Agents: Foundation & Strategy · Marcello Ballroom 4404
Speakers: Mark Borden (Egospeed); Prashant Samant (Akido)
Page: https://ai4.com/sessions/beyond-the-scribe-what-happens-when-ai-runs-the-medical-visit/

A fireside chat with Prashant Samant (CEO), Akido, moderated by Mark BordenAI note-taking is table stakes. What happens when AI runs the actual clinical encounter? Akido's CEO Prashant Samant joins veteran reporter Mark Borden to make the case. In this fireside chat, they'll walk through a ScopeAI visit, grounded in outcomes data from three years of deployment across underserved and high-need populations. Then tackle the question every health system and regulator is really asking: where does a physician step in and override the AI? It's the moment that separates AI-doctor hype from the human-in-the-loop reality of care delivered at scale. What does the future of healthcare look like? What is the role of humans? Finally, thoughts on bots.

### 2:50 PM–3:10 PM · Building Governed Agentic AI at Scale
Solo Talk · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Srinivasa Manapragada (Wells Fargo)
Page: https://ai4.com/sessions/building-governed-agentic-ai-at-scale/

Building Governed Agentic AI at ScaleThe next evolution of enterprise AI is not simply generating responses, it is orchestrating intelligent AI agents that can reason, plan, collaborate, and execute business processes securely at scale. This session explores how Agentic AI combines Large Language Models (LLMs), Model Context Protocol (MCP) servers, APIs, enterprise data, and intelligent orchestration to autonomously understand user intent, invoke enterprise tools, and deliver contextual business outcomes while maintaining governance, security, and compliance. Attendees will learn practical strategies for designing scalable AI agent architectures, implementing Human-in-the-Loop (HITL) controls, and applying Responsible AI principles to build trusted enterprise solutions. Join this session to discover an enterprise blueprint for deploying secure, governed, and production-ready Agentic AI that accelerates innovation, reduces operational complexity, and delivers measurable business value.

### 2:50 PM–3:35 PM · Building the Right Data Platform and Tech Stack for AI Success
Panel Session · Infrastructure: Data Platforms & Strategy · Titian Ballroom 2302
Speakers: Rohit Garewal (Object Edge Inc.); Kartik Pillai (Yum! Brands); Yi Guo (University of Florida); Amy Peterson (Fivetran); Shyam Veerasankar (Pacers Sports & Entertainment)
Page: https://ai4.com/sessions/building-the-right-data-platform-and-tech-stack-for-ai-success/

What does a modern, AI-ready data platform actually look like? This panel will cover the full set of architectural choices executives need to understand, spanning cloud vs. hybrid approaches, data lakehouses, metadata and feature stores, governance layers, and real-time pipelines. Panelists will share how leading organizations design for both flexibility and scalability, ensuring that data platforms can handle experimentation today while powering production AI systems tomorrow. Discussion will also highlight vendor selection strategies, integration with existing enterprise systems, and cost/performance trade-offs that matter at scale. Walk away with a clear blueprint for building or modernizing a data platform that can unlock AI success across the business.

### 2:50 PM–3:10 PM · Constitution, Not Blueprint: Enterprise Architecture for the Age of Agents
Solo Talk · Enterprise Architecture · Palazzo Ballroom B
Speakers: Ajit Singh (The Friedkin Group)
Page: https://ai4.com/sessions/constitution-not-blueprint-enterprise-architecture-for-the-age-of-agents/

If agents were angels, no governance would be necessary. A chatbot sold a $76,000 SUV for $1; an airline told a court its bot was "a separate legal entity"; an agent deleted a production database — then confessed. Policies existed; governance for autonomous actors didn't. I will map each incident to the 1787 principle that retired it and hand you the Seven Articles plus a 90-day plan. Build constitutions, not blueprints — before your company is the next headline.

### 2:50 PM–3:10 PM · Cracking the Code of Life with AI: Using Frontier AI to Develop Therapies Addressing Diseases and Aging at the Same Time
Solo Talk · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Alex Zhavoronkov (Insilico Medicine)
Page: https://ai4.com/sessions/cracking-the-code-of-life-with-ai-using-frontier-ai-to-develop-therapies-address/

How will generative AI and automation transform the pharmaceutical industry? In this presentation, Dr. Alex Zhavoronkov, CEO of Insilico Medicine, will detail how generative AI, automated platforms, and AI agents will accelerate the discovery of novel biological targets and the design of new molecular structures. He will explain how reinforcement learning and end-to-end automation will enable drug candidates to move into human clinical trials in record time while significantly reducing the cost and duration of the preclinical phase. The talk will also show how these AI capabilities will extend beyond traditional drug discovery into aging research, agricultural chemistry, and environmental sustainability. He will also introduce Science MMAI Gym, a domain-specific training environment designed to transform any causal or frontier Large Language Model (LLM) into a high-performance engine for real-world drug discovery and development tasks.Overall, the session will present a benchmark for the current and emerging capabilities of end-to-end AI in biotechnology and its potential to extend human longevity.

### 2:50 PM–3:10 PM · Dataflix Jo — An Enterprise AI Platform to Design, Build, and Run AI Systems at Scale
Solo Talk · Generative AI: Applications & Use Cases · Venetian Ballroom E
Speakers: Srinivas Jayanthi (Dataflix)
Page: https://ai4.com/sessions/dataflix-jo-an-enterprise-ai-platform-to-design-build-and-run-ai-systems-at-scal/

Dataflix Jo is an enterprise AI platform built to accelerate AI execution at scale, transforming how organizations move from idea to production. At the heart of Jo is the AI Factory Framework, a practical blueprint designed to help organizations move from experimentation to scalable, production-grade AI. This session will reveal how a structured “AI Factory” approach enables teams to systematically plan, build, scale, and govern AI solutions, connecting data, models, and user experiences across a unified architecture. From foundational data readiness to agentic orchestration and real-world copilots, discover how to transform fragmented capabilities into a cohesive, high-impact AI delivery engine, while ensuring cost control, security, and continuous improvement at every stage.

### 2:50 PM–3:10 PM · Empowering the Sales Teams of Tomorrow with Org Approved AI Agents
Solo Talk · Sales & Revenue Operations · Bellini Ballroom 2102
Speakers: Steve Ancheta (Zig AI)
Page: https://ai4.com/sessions/empowering-the-sales-teams-of-tomorrow-with-org-approved-ai-agents/

The Sales Software stack as we know it is being replaced. The next generation of sales teams won't toggle between a dozen SaaS tools, they'll operate through a single AI-native system where autonomous agents handle research, outreach, follow-up, and pipeline management while compounding institutional knowledge with every interaction. I'll explore why org-approved agents — ones that act independently but operate within defined boundaries, are the architecture separating high-performing teams from everyone else, and share what we've proven at zig.ai building in this space. If you're a sales leader wondering why your current stack feels like it's working against you, this talk will show you what's already replacing it.

### 2:50 PM–3:10 PM · Finance Reimagined:  How AI is Automating Every Finance Function
Solo Talk · CFO & Finance · Palazzo Ballroom E
Speakers: Mary Sibley (SAP)
Page: https://ai4.com/sessions/finance-reimagined-how-ai-is-automating-every-finance-function/

Finance organizations are confronting escalating pressures driven by regulatory complexity, economic volatility, talent constraints, and growing expectations for AI-enabled transformation. Traditional operating models are increasingly unable to absorb these demands at scale. This session showcases SAP Autonomous Finance as the new paradigm that embeds AI agents in all financial processes. This approach emphasizes a human-in-the loop model, where AI optimizes execution while preserving governance and human judgment. Attendees will examine why the cost of inaction now exceeds the risks of transformation and gain a practical framework for initiating an AI-enabled autonomous finance journey.

### 2:50 PM–3:00 PM · FInOps for AI & AI for FinOps
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Ronak Bhavsar (Finomics)
Page: https://ai4.com/sessions/finops-for-ai-and-ai-for-finops/

AI spending is projected to reach $2.59 trillion in 2026, yet most organizations still can't answer what a given token, seat, or GPU actually costs them. In this talk, I will show where AI has outrun the governance and visibility practices enterprises built for cloud, and how to close that gap across three fronts: token economics and attribution, AI seat and license reclamation, and idle GPU detection across public and private clouds. I will then flip the premise—using ML forecasting, self-tuning anomaly detection, and agentic recommendations delivered as executable Terraform—to make FinOps proactive instead of retrospective, closing with a live look at conversational FinOps in action. Attend if you own an AI budget and want a framework you can start applying the week you get back.

### 2:50 PM–3:10 PM · Fireside Chat with Russell Westbrook
Fireside Chat · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Jason Abbruzzese (NBC News); Russell Westbrook (Russell Westbrook Enterprises)
Page: https://ai4.com/sessions/fireside-chat-with-russell-westbrook/

Most people know one part of Russell Westbrook’s story. In conversation with NBC News’s Jason Abbruzzese at Ai4, he reveals the over a decade of business leadership behind Westbrook Enterprises, the operating and investment group through which he has founded, owned or helped scale more than 40 companies, and how his “Why Not?” philosophy guides what he creates, where he invests and what he looks for in the next generation of companies.

### 2:50 PM–3:35 PM · Humans + Agents: Use Cases of Collaborative Workflows That Deliver
Panel Session · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Bryan Smith (Expedient); Glenn Fung (Exact Sciences Corp); Mark Green (Holy Family University); Narayanan Nair (Farm Credit Services of America); Gregory Hodgkinson (Prolifics)
Page: https://ai4.com/sessions/humans-agents-use-cases-of-collaborative-workflows-that-deliver/

The real power of agentic AI emerges when humans and machines collaborate effectively. This panel explores use cases where AI agents work side-by-side with employees, handling repetitive tasks, surfacing insights, and enabling faster decision-making, while humans focus on creativity, strategy, and customer relationships. Speakers will highlight practical examples from industries like healthcare, finance, and logistics, showing how agentic AI is being woven into day-to-day operations. Attendees will learn strategies for redesigning workflows, overcoming resistance to adoption, and measuring productivity gains from this new model of human-machine collaboration.

### 2:50 PM–3:10 PM · SAP: Advancing the Autonomous Enterprise: Less Chat. More Act. Guided by Fact.
Solo Talk · Oversight: AI ROI · Palazzo Ballroom D
Speakers: Bob Sakalas (SAP)
Page: https://ai4.com/sessions/sap-advancing-the-autonomous-enterprise-less-chat-more-act-guided-by-fact/

Are you under pressure to turn AI into real, visible ROI — without adding more sprawl, risk, or complexity? SAP’s Autonomous Enterprise vision points to a new operating model: people set direction, Joule coordinates work, and AI assistants and agents execute defined tasks across business processes in a reliable, responsible way. This session shows how to move beyond chat by choosing the right processes, grounding AI in trusted data, and governing agents at enterprise scale — so you can become the quiet hero who moves AI from hype to progress leadership can see, trust, and scale.

### 2:50 PM–3:35 PM · Scaling Agents through Agent Engineering [HANDS ON; LAPTOP REQUIRED]
Workshop Google Stage · Google Cloud Programming · Bellini Ballroom 2104
Speakers: Alan Blount (Google Cloud); Christina Zhu (Google Cloud)
Page: https://ai4.com/sessions/scaling-agents-through-agent-engineering-hands-on-laptop-required/

**Important Note**: This hands-on, interactive workshop is led by Google Cloud and is open to all Ai4 attendees at no additional cost. No RSVP or separate registration is required. To participate and get the most out of this session, please bring your own device (a laptop is recommended). Devices will not be provided on-site.ABOUT THIS WORKSHOP:Building a single AI agent locally is straightforward; scaling it reliably across an enterprise is where traditional request-based architecture breaks down. This session explores 'agent engineering' and the shift toward session-tenant compute. We will demonstrate how to separate your agent's core logic using the Agent Development Kit (ADK) from the complex infrastructure of durable execution. By pairing Agent Substrate for secure, sandboxed isolation with AX for a resumable runtime harness, you can efficiently scale stateful, long-running sessions. Finally, we will showcase how Gemini Enterprise serves as the unified interface to orchestrate these capabilities, seamlessly connecting users to specialized agents via Agent-to-Agent (A2A) protocols.

### 2:50 PM–3:10 PM · The Last Mile of Data  How AI Turns Enterprise Data Into Decisions
Solo Talk · Transportation & Logistics · Titian Ballroom 2304
Speakers: Joshua Bernal (Grupo Traxion)
Page: https://ai4.com/sessions/the-last-mile-of-data-how-ai-turns-enterprise-data-into-decisions/

Organizations have invested heavily in collecting data, building dashboards, and deploying AI, yet many still struggle with the final step: turning information into confident operational decisions.This session explores the "last mile of data"—the gap between enterprise data and real business action.Through real world logistics and transportation examples, attendees will discover how AI native Decision Intelligence platforms, conversational analytics, and specialized AI agents are transforming the way organizations interact with their data. Instead of waiting for reports or navigating complex dashboards, business users can simply ask questions, receive contextual insights, and make faster, more informed decisions.The session also explores the role of data governance, trusted enterprise knowledge, and AI agents in creating a new generation of operational intelligence.

### 2:50 PM–3:10 PM · The New Shape of Software
Solo Talk · CX & Customer Service · Delfino Ballroom 4103
Speakers: Thom Rimmer (Fin)
Page: https://ai4.com/sessions/the-new-shape-of-software/

AI will change almost everything we do in some way, and some things we do in every way. Product design is one of the latter. Product designers have spent entire careers perfecting the art of interfaces and controls, only to have AI collapse interaction to a simple chat box. Fin's VP of Product Design Thom Rimmer describes how the Fin team changed everything about how they build, and how they're thinking about the software future AI is pushing us all towards.

### 2:50 PM–3:10 PM · The Ungoverned Agent: Deploying Autonomous AI Without Losing Control
Solo Talk · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Matt Cashatt (Polyrific)
Page: https://ai4.com/sessions/the-ungoverned-agent-deploying-autonomous-ai-without-losing-control/

Enterprises are racing to deploy AI agents that reason across systems, call APIs, and act on sensitive data, often faster than anyone can govern them. The result is a quiet crisis: thousands of autonomous agents operating without consistent guardrails, audit trails, or accountability. This session lays out the infrastructure required to deploy agents safely at scale, from policy enforcement and real-time observability to secure execution on your own data. Drawing on more than a decade building AI inside organizations that cannot afford to get it wrong, Matt Cashatt shows what an agent governance layer actually looks like in production, and why governance is fast becoming the deciding factor in whether enterprise AI delivers value or liability. Attendees will leave with a practical framework for scaling agents they can trust.

### 2:50 PM–3:10 PM · Why Enterprise AI Stalls: Data, Contracts, and the Path to Production
Solo Talk · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Kanishk Mittal (InterSystems); Adam Nahari (Apollo Global Management Inc.)
Page: https://ai4.com/sessions/why-enterprise-ai-stalls-data-contracts-and-the-path-to-production/

Ninety-five percent of enterprise AI pilots never reach production, and the reason usually isn't the model. Drawing on my work architecting the data and AI stack behind a $1.13B enterprise software company, I'll argue that what separates AI that ships from AI that merely demos comes down to three things: the read contracts that govern how AI accesses live business data, the write contracts that govern how it takes action across your CRM, ERP, and other systems of record, and the execution discipline that turns a boardroom vision into shipped outcomes. The talk will dissect real, public cases, from Air Canada's hallucinated refund policy and Zillow's $500M write-down to the production wins at JPMorgan and Klarna, to build a diagnostic vocabulary you can apply to your own initiatives. You'll leave with a self-assessment framework that pinpoints exactly where your AI project will stall, plus three concrete actions you can take Monday morning to close the gap. If you're tired of impressive demos that die before production, this session is for you.

### 2:50 PM–3:10 PM · Will AI Destroy or Save the Power Grid? The Race to Design the Grid of the Future
Solo Talk · Infrastructure: Cloud Data Centers & Compute · Lando Ballroom 4203
Speakers: Josh Wepman (Leidos)
Page: https://ai4.com/sessions/will-ai-destroy-or-save-the-power-grid-the-race-to-design-the-grid-of-the-future/

Electric power is the basis of the American economy and our way of life. The US power grid is the largest machine ever built and delivers these capabilities real-time. But the power grid is under stress from a myriad of challenges including: AI driven datacenters, intermittent renewables, storage, transportation electrification, ageing infrastructure, severe weather and cyber threats. The grid of the future will need to grow and evolve to accommodate these needs, and as an industry we lack most of the things we need to keep pace. We lack the workforce, capital, cost controls, materials, and time to get it all done. The challenge of building a clean, flexible, reliable, and cost-efficient grid is mammoth. So somehow AI is going to have to scale the impact of our accessible workforce, accelerate optimal design and construction, and reimagine operating and defending the grid. The bad news is, AI factories are accelerating these challenges. The good news is, AI is actually helping us solve them too.

### 2:50 PM–3:10 PM · Your AI Is Only as Smart as Your Team
Solo Talk · Data Analytics & BI · Palazzo Ballroom L
Speakers: Suku Krishnaraj (PromptQL)
Page: https://ai4.com/sessions/your-ai-is-only-as-smart-as-your-team/

AI has gotten remarkably good at software. But most knowledge work runs on something AI still doesn't have: business context. It lives in people's heads, it's scattered across teams, and it changes constantly. So every time you hand a question off to an AI tool, something gets lost. A definition. An assumption. The thing you actually meant.The organizations winning with AI analytics aren't just deploying smarter tools. They're building new operating models where teams continuously teach AI their business context, so every analysis gets sharper over time and human judgment stays in the loop.In this session, Suku Krishnaraj, President and COO of PromptQL, makes the case for why AI analytics is a team sport and what it looks like when your team's expertise becomes a permanent, computable asset. You'll walk away with a practical framework for turning shared context into a real competitive advantage and making decisions that are not just fast, but ones you can actually stand behind.Knowledge roles aren't going away. They're being redesigned.

### 3:00 PM–3:10 PM · Beyond the Model: Building the Conditions for Enterprise Intelligence
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: John De Oliveira (Hapax)
Page: https://ai4.com/sessions/beyond-the-model-building-the-conditions-for-enterprise-intelligence/

Every week brings another breakthrough model, agent framework, or enterprise AI product. At the same time, organizations are investing in RAG, governance, enterprise memory, knowledge graphs, provenance, and LLM-native knowledge formats. These can feel like separate trends competing for attention—but what if they're all attempts to solve different parts of the same problem?This talk offers a systems perspective on enterprise AI, arguing that the greatest opportunities lie beyond the model itself. Rather than comparing technologies, it introduces a practical way to think about the conditions that allow enterprise intelligence to emerge. Whether you're building AI products, advising enterprises, or deciding where to invest, you'll leave with a new way of thinking about why these technologies matter, how they fit together, and where the next generation of enterprise AI is likely to be created.

### 3:00 PM–3:15 PM · Grounding AI Agents in Real-Time Web Data — Live
Agentic Live Demo · Agentic Live Demos · Halls B&C
Page: https://ai4.com/sessions/grounding-ai-agents-in-real-time-web-data-live/

Your model is great and your reasoning is sound, so why did your AI agent just answer with information that stopped being true weeks ago? The problem isn’t the model, it’s the search layer. Most agents are still working off stale training data or bolted-on scrapers never built for how agents actually query.We’ll start with a quick look at why real-time web grounding has become a hard requirement for agentic AI — and why generic search infrastructure wasn’t built for the job. Then we’ll go hands-on: a live demo of an agent pulling accurate, real-time, cited web data through a search API purpose-built for AI, and how grounding agents in fresh data cuts hallucinations and builds user trust. You’ll leave knowing how to upgrade the search layer behind your own agents.

### 3:05 PM–3:45 PM · AI Agents In Production Infrastructure: What The Industry Learned The Hard Way
Solo Talk · Coding Assistants & Vibe Coding (technical) · Venetian Ballroom A
Speakers: Rahul Tanniru (JP Morgan Chase)
Page: https://ai4.com/sessions/ai-agents-in-production-infrastructure-what-the-industry-learned-the-hard-way/

AI agents are already writing Terraform, triaging incidents, and modifying Kubernetes configs in production and most teams are learning the hard way what goes wrong. In this talk, I'll share real failures from deploying Claude-based agentic systems across IaC and SRE workflows, including terraform apply disasters, runbook hallucinations, and CI/CD context overflow. I'll walk through the prompt engineering patterns, agentic loop architectures, and production guardrails that actually held up under real infrastructure load. Attendees will leave with a concrete model selection framework, a security and governance checklist for autonomous agents, and three live scenario walkthroughs, EKS auto-remediation and SLO dashboard generation.

### 3:15 PM–3:55 PM · A New House Edge? The State of AI in Gambling
Fireside Chat · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Kasra Ghaharian (University of Nevada, Las Vegas, International Gaming Institute); Kiran Brahmandam (Aristocrat); Earle Hall (AXES.ai)
Page: https://ai4.com/sessions/a-new-house-edge-the-state-of-ai-in-gambling/

The gambling industry is at an inflectxion point. In just a few years, AI has shifted from an emerging novelty to operational necessity - powering everything from personalization and game development to compliance and surveillance. But as adoption accelerates, key questions arise: How are organizations deploying AI in practice? Where are the biggest challenges? How can we ensure responsible implementation? And what new AI advancements will drive future innovation?In this session, we present the results of the UNLV International Gaming Institute’s 2026 State of AI in Gaming Report. Joined by AI leaders from some of the world's premier gambling companies, we will discuss how AI is redefining the industry and helping optimize the modern casino floor.

### 3:15 PM–3:25 PM · AI and Managed Services: Future Models of Symbiosis with AI
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Kanav Kahol (Kagen.ai)
Page: https://ai4.com/sessions/ai-and-managed-services-future-models-of-symbiosis-with-ai/

AI is transforming managed services from a labor-driven model to an intelligence-driven one. As organizations embed AI into service delivery, the focus is shifting toward defining clear roles for human expertise, autonomous systems, and business stakeholders while maintaining accountability and operational excellence. This session will explore emerging frameworks for AI governance, performance measurement, and outcome-based service delivery, with a particular focus on maximizing ROI from AI investments. Attendees will learn how leading enterprises are optimizing model selection, controlling token costs, and creating sustainable operating models that balance automation, trust, and business value. The session will provide a forward-looking view of how AI and managed services will evolve together to create more efficient, resilient, and scalable enterprises.

### 3:15 PM–4:00 PM · AI in Clinical Decision Support — Enhancing Accuracy Without Replacing Judgment
Panel Session · Healthcare Care Providers · Marcello Ballroom 4404
Speakers: Alexander Fedotov (AstraZeneca); Peter McCaffrey (The University of Texas Medical Branch); Arturo LoAIza-Bonilla (Massive Bio); Senthil Kumaran (MNGI Digestive Health); Zachary Taylor (Cincinnati Children's Hospital Medical Center)
Page: https://ai4.com/sessions/ai-in-clinical-decision-support-enhancing-accuracy-without-replacing-judgment/

AI is becoming a powerful second set of eyes for clinicians, helping flag anomalies, predict patient deterioration, and surface evidence-based recommendations at the point of care. This panel will explore how leading hospitals are embedding AI into radiology, pathology, and bedside decision-making, while ensuring that clinical judgment remains central. Panelists will discuss integration with EHRs, managing false positives, clinician trust, and the regulatory frameworks that shape adoption. Learn how AI is moving from pilot tools to reliable partners in the clinical workflow—improving patient outcomes without eroding physician autonomy.

### 3:15 PM–4:00 PM · AI Policy to Drive Progress
Panel Session · AI Policy Summit · Titian Ballroom 2306
Speakers: Brendan Schulman (Boston Dynamics); Nancy Scola (—); Sean Perryman (Uber); Sanjay Puri (RegulatingAI)
Page: https://ai4.com/sessions/ai-policy-to-drive-progress/

This panel will gather heads of policy at world’s leading AI companies and investors to discuss AI policy. The conversation will center around what enables AI progress, what stalls AI progress, and what regulation is necessary to ensure impactful, responsible AI across business and society.

### 3:15 PM–3:35 PM · AI that delivers ROI from Infrastructure to Intelligence
Solo Talk · Infrastructure: Cloud Data Centers & Compute · Lando Ballroom 4203
Speakers: Rampal Singh (HCLTech)
Page: https://ai4.com/sessions/ai-that-delivers-roi-from-infrastructure-to-intelligence/

Enterprise AI ambition is at an all-time high, yet less than half of AI experiments make it to production and 43% of major AI initiatives are expected to fail, according to HCLTech’s AI Impact Imperatives, 2026, an enterprise AI market report. In this session, Rampal Singh lays out an end-to-end blueprint that connects infrastructure, platforms and intelligence into a single engineered stack, so enterprises can scale AI that consistently delivers ROI, responsibly. Audience takeaways1. A leadership view of the operating model that turns AI experiments into measurable business outcomes2. Why the infrastructure to intelligence gap needs to be managed for achieving enterprise AI ROI3. How to architect a sovereign stack that still delivers enterprise-grade AI at scale4. How this blueprint translates into predictable cost, performance and business outcomes5. How AI in a Box and SLM-as-a-service transform the operating model6. Enterprise examples of how the Factory approach translates AI investments into measurable ROI

### 3:15 PM–4:00 PM · Beyond Dashboards: How AI Is Transforming Data Storytelling and Decision-Making
Panel Session · Data Analytics & BI · Palazzo Ballroom L
Speakers: Goutham Budati (The Farmer's Dog); Mark Ritzmann (Columbia University); Mona Hassanzadeh (Meridian); Lovedeep Saini (Conner Strong & Buckelew); Ayman Elhalwagy (RootCause.ai)
Page: https://ai4.com/sessions/beyond-dashboards-how-ai-is-transforming-data-storytelling-and-decision-making/

BI is moving from static dashboards to real-time insights powered by generative and predictive AI. In this session, leaders will share how they’re enhancing business intelligence with AI—from building tools that understand natural language to enabling faster decisions through automated insight generation. Hear real use cases across finance, operations, sales and marketing, and learn how AI is reshaping what it means to ask a question of your data—and actually get an answer.

### 3:15 PM–4:00 PM · Building Smarter Retail Experiences in the AI World
Panel Session · Retail CPG & Ecommerce · Marcello Ballroom 4403
Speakers: Nathalie Criou (Vapi); Mark Stutzman (AREA15); Melanie Hill (Ace Hardware Corporation); Caio Camargo ([varejocast]); Santiago Ontanon Alvarez (Coppel)
Page: https://ai4.com/sessions/building-smarter-retail-experiences-in-the-ai-world/

Retailers are using AI to deliver more personalized, responsive, and profitable experiences. This panel features leaders from retail and CPG companies discussing how they’re using AI to enhance marketing, streamline logistics, and reinvent the customer journey—both online and in-store. Learn which tools are driving results and how teams are building AI into core retail operations. We’ll also examine innovations across omnichannel retail, from checkout-free physical stores to AI-powered customer service agents. Join this panel to see how leading technologists and retailers are shaping the future of the industry.

### 3:15 PM–4:00 PM · Cutting-Edge Applications of Generative AI in the Enterprise
Panel Session · Generative AI: Applications & Use Cases · Venetian Ballroom E
Speakers: Franziska Bell (The Home Depot); Sameer Sethi (Hackensack Meridian Health); Raffaele Pascale (Argos Multilingual); Elaine Reyes (CGTN); Semih Altinay (Phrase)
Page: https://ai4.com/sessions/cutting-edge-applications-of-generative-ai-in-the-enterprise/

Generative AI is no longer just a research breakthrough. It's powering some of the most innovative business transformations in the world. In this high-energy panel, enterprise leaders and technologists will showcase cutting-edge use cases driving real results today. From AI-powered product design and marketing personalization to legal document generation and autonomous customer support, panelists will highlight where gen AI is delivering breakthrough value. This session will leave you inspired by what’s possible and armed with ideas you can take back to your team.

### 3:15 PM–4:05 PM · Engineering Control into Agentic AI That Controls Itself [RSVP REQUIRED]
Roundtable · Roundtable (technical) · Room 305
Speakers: Hailong (Harry) Wang (Fifth Third Bank)
Page: https://ai4.com/sessions/engineering-control-into-agentic-ai-that-controls-itself-rsvp-required/

This event requires an RSVP; to attend, submit form hereAgentic AI changes the problem of trust from a policy question into an engineering one, and it changes the ambition from automating tasks to reinventing how work gets done.This roundtable examines how application-layer design choices determine whether autonomous systems remain controllable in high-risk environments, covering:1.Agent boundaries2.Permissions and guardrails3.Memory and context engineering4.Tool use5.Loop engineering6.Human-in-the-loop controlsWe'll explore how control and risk management can be engineered directly into agent architectures, built on ATR (Auditable, Traceable, Repeatable) properties, rather than enforced through after-the-fact reviews. When agents can be trusted with real execution, the question stops being "where can I add AI" and becomes "how should this function be redesigned." Participants will exchange practical patterns, trade-offs, and hard-won lessons from building agentic systems that must be auditable, resilient, and aligned by design, and from rethinking the workflows those systems now make possible.This roundtable is for builders and technical leaders who want to engineer trust in, not bolt it on, and use that trust to reinvent the workplace, not just automate it.

### 3:15 PM–4:00 PM · Enterprise Architecture for AI-First Enterprises
Panel Session · Enterprise Architecture · Palazzo Ballroom B
Speakers: Jason Kehl (Redwood Software); Ajit Singh (The Friedkin Group); Jennifer Conrad (Inc. Magazine); Christopher Lundy (Oura); Michael Maher (Pave Powered by Quickbase)
Page: https://ai4.com/sessions/enterprise-architecture-for-ai-first-enterprises/

Enterprises can’t bolt on AI—they must build for it. This session explores how forward-thinking organizations are re-architecting systems to support modular, scalable AI capabilities. Panelists will share how they’ve enabled cross-functional AI workflows, modernized legacy stacks, and built platforms that evolve with the pace of innovation. Learn what makes a truly “AI-ready” architecture and how to design for speed, scale, and sustainability.

### 3:15 PM–3:35 PM · From Pilot to Production: The CIO's Playbook for Deploying AI Agents at Scale
Solo Talk · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Philip Kolterman (Brinks Home); Deepank Sharma (Cresta Intelligence)
Page: https://ai4.com/sessions/from-pilot-to-production-the-cio-s-playbook-for-deploying-ai-agents-at-scale/

Every CIO has seen the demos. Far fewer have live AI Agents handling real customer calls at scale. In this session, Phil Kolterman, Chief Innovation Officer at Brinks Home, joins Cresta's Deepank Sharma to pull back the curtain on the two questions that separate pilots from production: how do you decide where to start, and how do you continue to scale and drive real business value once you're live? Phil shares how Brinks Home navigated both — from choosing the right first use case to building the automated testing framework that gave their governance council something measurable to approve, not just a demo to believe in. A candid, practitioner-level conversation for CIOs who are done theorizing and ready to ship.

### 3:15 PM–4:00 PM · Governing AI Models in Banking — Reducing Risk and Deploying with Trust
Panel Session · Financial Services Banks · Lando Ballroom 4204
Speakers: William Ho (Morgan Stanley); Moataz Mahmoud (First Citizens Bank); Maik Taro Wehmeyer (Taktile); Frederic Siboulet (Major US Bank); Brandon Reed (Regions Bank)
Page: https://ai4.com/sessions/governing-ai-models-in-banking-reducing-risk-and-deploying-with-trust/

In financial services, AI adoption must balance innovation with strict oversight. This panel will focus on how banks are building model governance frameworks to reduce risk, ensure compliance, and support trustworthy deployment at scale. Panelists will discuss best practices for model validation, monitoring, and explainability, as well as strategies for managing drift, bias, and regulatory alignment under evolving global standards. The conversation will highlight cutting-edge governance platforms, risk management tools, and processes that leading banks are using to operationalize responsible AI. Attendees will walk away with a playbook for deploying AI systems that deliver measurable value while meeting the highest bar of safety, transparency, and trustworthiness.

### 3:15 PM–4:00 PM · Human + Machine: Rethinking Workforce Strategy in the Age of AI
Panel Session · Hr & Recruiting · Palazzo Ballroom E
Speakers: Rosy Bhullar (JPMorgan Chase); Esin Cooper (Pearson); Shameem Farouk (Maybank); Jana Brown (eHealth); Giovanni Luperti (Humaans)
Page: https://ai4.com/sessions/human-machine-rethinking-workforce-strategy-in-the-age-of-ai/

As AI automates tasks and augments decision-making, HR leaders must rethink everything from hiring to career development. This panel will explore how organizations are using AI to identify skills gaps, personalize learning paths, and enhance employee experiences. We’ll also tackle hard questions about surveillance, bias, and fairness in people analytics. Finally, we will address the HR function and role of human workers as AI agents become commonplace and carry out more work. Learn how to balance innovation with empathy—and build a workforce that thrives in an AI-augmented future.

### 3:15 PM–4:00 PM · Intelligent Logistics: AI That Moves the World
Panel Session · Transportation & Logistics · Titian Ballroom 2304
Speakers: Brendan Baker (Rackhouse Venture Capital); Karthikeyan Ilangovan (MODE Global); Pouya Dianat (Quantum Computing Inc.); Arjun Srinivasan (ShipStation Global)
Page: https://ai4.com/sessions/intelligent-logistics-ai-that-moves-the-world/

From freight to fulfillment, logistics players are turning to AI to navigate complexity. This panel features operators and innovators discussing how AI is improving route planning, automating warehouses, and predicting delays. We’ll also explore how leaders are using AI to hit sustainability targets and build more resilient global supply chains. We will discuss the impact of intelligent robotics on logistics, and how leaders are taking advantage of these innovations. Join this panel to hear from leading transportation and logistics executives and cutting edge technologists on how AI will shape the future of transport.

### 3:15 PM–4:00 PM · Measuring What Matters: KPIs and Metrics for AI’s Financial Impact
Panel Session · Oversight: AI ROI · Palazzo Ballroom D
Speakers: Adam Gunnett (Busy Beaver); Jill Hosmer-Jolley (California State University Monterey Bay); Tali Rosenblum (New York Life Insurance Company); Nate Campbell (WalkMe)
Page: https://ai4.com/sessions/measuring-what-matters-kpis-and-metrics-for-ai-s-financial-impact/

Not all AI metrics are created equal. This panel will explore effective AI use cases through the lens of specific KPIs that were relevant to the project. Panelists will dive into how they select the right KPIs for the right use cases, ensuring that AI initiatives are measured against outcomes that reflect true business value. Panelists will explore how to link operational improvements to financial performance, which leading and lagging indicators matter most across different functions, and how to build dashboards that executives actually use. Expect practical guidance on mapping use cases to meaningful metrics so organizations can separate signal from noise and validate ROI with confidence.

### 3:15 PM–4:00 PM · Platforms and Tools for AI Agents: Navigating the Ecosystem
Panel Session · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Abhinav Asthana (Redwood Trust, Inc.); Jeremiah Owyang (Blitzscaling Ventures); Ericson Brickers (The Brickers Foundation); Sama Bali (NVIDIA); Logan Lawler (Dell Technologies)
Page: https://ai4.com/sessions/platforms-and-tools-for-ai-agents-navigating-the-ecosystem/

Selecting the right platforms and tools is critical for deploying and managing effective AI agents. In this session, panelists will explore the current AI agent ecosystem, discussing key platforms, tools, and technologies that facilitate deployment, management, and optimization. Learn how to strategically evaluate and select solutions that align with your organizational needs, ensuring your AI initiatives are robust, scalable, and deliver maximum business value.

### 3:15 PM–3:55 PM · Presentation by Divya Choudhary, X, The Moonshot Factory
Solo Talk · Multimodal AI (technical) · Bellini Ballroom 2102
Speakers: Divya Choudhary (X, The Moonshot Factory)
Page: https://ai4.com/sessions/presentation-by-divya-choudhary-x-the-moonshot-factory/

### 3:15 PM–3:35 PM · Realizing Value on the Agentic Journey
Fireside Chat · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Audi Rowe (EY); Cindy Lee (Duke Energy)
Page: https://ai4.com/sessions/realizing-value-on-the-agentic-journey/

Organizations everywhere are investing in AI, yet many struggle to move beyond pilots and deliver measurable business value at scale. In this fireside chat, EY's Audi Rowe and Duke Energy's Cindy Lee will explore how Duke is transforming finance into a catalyst for enterprise-wide AI adoption by embedding AI, governance and trust into the core of its operating model. Through Duke's real-world transformation journey, attendees will learn how to move from isolated AI initiatives to an agentic enterprise by reimagining value streams, building a trusted AI foundation and delivering outcomes that accelerate growth, improve decision-making and unlock lasting business value.

### 3:15 PM–3:55 PM · The AI Agent Operating Model: What Enterprise Leaders Are Building
Fireside Chat · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Adam Mendler (Thirty Minute Mentors); Sagnik Nandy (Docusign); Kartik Sakthivel (John Hancock); Tom Flanagan (RE/MAX)
Page: https://ai4.com/sessions/the-ai-agent-operating-model-what-enterprise-leaders-are-building/

AI agents are rapidly moving from experimentation to enterprise deployment, but every organization is taking a different path. What operating models are actually working? How are leading companies deciding where agents fit into their business, what infrastructure they require, and how they measure success? Join technology leaders for an honest discussion about what they're building, what's delivering real business value, and the lessons they've learned operationalizing AI agents across the enterprise. From governance and orchestration to adoption and ROI, attendees will gain practical insights they can apply to their own agent strategy.

### 3:15 PM–4:00 PM · The Brain of the Agent — Architectures and Training for Intelligent AI Systems
Panel Session · AI Agents (technical) · Veronese Ballroom 2504
Speakers: Dhivya Nagasubramanian (U.S. Bank); Seetaram Rao Rayarao (JP Morgan Chase); João Moura (CrewAI); Darrell Etherington (The Angle); Jason Bonvie (CrewAI); Ashok Prakash (Apple)
Page: https://ai4.com/sessions/the-brain-of-the-agent-architectures-and-training-for-intelligent-ai-systems/

Beneath every capable AI agent lies a stack of model architectures and training strategies that determine how it reasons, plans, and adapts. This panel will dive into the core “thinking layers” of agents—from large language models and world models to planning modules, memory systems, and tool-use capabilities. Panelists will discuss the latest approaches to pre-training and fine-tuning, the role of reinforcement learning and simulation environments, and emerging architectures for multi-step reasoning and long-horizon planning. The conversation will highlight both the technical trade-offs and the open research questions: how do we balance generality vs. specialization, how do we evaluate reasoning quality, and what’s needed to make agents robust outside of demos? Attendees will gain a deeper understanding of the model and training foundations that underpin effective agentic systems—and where research is headed next.

### 3:15 PM–4:00 PM · Transforming Customer Experience with AI
Panel Session · CX & Customer Service · Delfino Ballroom 4103
Speakers: Lily Li (Franklin Templeton); Erin Fusaro (PadSplit); Kiley Williams (Deepgram); Amir Hameed (RingCentral); Heather Gillbanks (CXPA Book of Knowledge)
Page: https://ai4.com/sessions/transforming-customer-experience-with-ai/

This session will explore how AI is revolutionizing customer experience (CX) and customer service by automating interactions, personalizing support, and improving response times. Panelists will discuss how AI-powered tools, such as chatbots and virtual assistants, are transforming customer service operations in contact centers, enabling faster resolutions and reducing operational costs. Learn how organizations are integrating AI into their CX strategies to improve customer satisfaction, streamline workflows, provide 24/7 support, and retain customers. The discussion will also examine the challenges of balancing AI automation with human interaction and strategies for creating a seamless, customer-centric experience.

### 3:20 PM–3:35 PM · Agentic Live Demo by Graviteesource
Agentic Live Demo · Agentic Live Demos · Halls B&C
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDUxNjE4Nw==

### 3:25 PM–3:35 PM · Presentation by Veilion
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Adam Winer (Veilion)
Page: https://ai4.com/sessions/presentation-by-veilion/

Will do a live Demo of my application on stage.

### 3:40 PM–4:30 PM · Bringing AI to Market in Regulated Industries: Challenges and Opportunities [RSVP REQUIRED]
Roundtable · Roundtable · Room 310
Speakers: Aidan Nevin (Fidelity Labs)
Page: https://ai4.com/sessions/bringing-ai-to-market-in-regulated-industries-challenges-and-opportunities-rsvp/

This event requires an RSVP; to attend, submit form hereWe will explore the challenges of bringing AI products and services to market in regulated industries, where innovation often collides with compliance, rules and guidelines. The talk will include real-world examples of companies that have successfully navigated these complexities, and will illustrate the importance of understanding regulator frameworks in industries such as healthcare, finance, and insurance. I will explain the strategies and best practices that have enabled these companies to overcome regulatory hurdles and achieve commercial success. Attendees will learn how to balance the need for innovation with the requirement for regulatory compliance, and will gain insights into the latest trends and teechnologies shaping the AI landscape in regulated industries. By attending this roundgable, you will gain valuable insights and practical advice on how to successfully bring AI products and services to market in regulated industries, and will have the opportunity to engage with experts and ppeers who are tackling similar challenges.

### 3:40 PM–4:00 PM · Fireside Chat with Dr. Tanvi Jayaraman, Oura
Fireside Chat · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Alice Park (TIME); Tanvi Jayaraman (Oura)
Page: https://ai4.com/sessions/fireside-chat-with-dr-tanvi-jayaraman-oura/

As health AI moves beyond one-size-fits-all systems, the opportunity is to build experiences that are more personalized, context-aware, and clinically grounded.In this session, Dr. Tanvi Jayaraman will share how Oura is building clinically grounded AI experiences that combine continuous biometric data with a deeper understanding of physiology, life stages, and longitudinal trends to deliver more personalized guidance.She’ll discuss how this work comes to life within Oura Advisor, including the development of a women-specific large language model, while also exploring how Oura is applying similar principles more broadly to make health AI more useful, trustworthy, and relevant across different health contexts.Attendees will also get a closer look at the clinical and technical considerations behind building responsible health AI, including privacy, equity, and what it takes to create systems that are accurate, trustworthy, and useful in real-world care conversations.

### 3:40 PM–4:00 PM · Five Ways AI Gets You Fired (And How to Avoid All of Them)
Solo Talk · Oversight: AI Explainability Governance & Model Risk · Lando Ballroom 4203
Speakers: Rob Lee (SANS Institute)
Page: https://ai4.com/sessions/five-ways-ai-gets-you-fired-and-how-to-avoid-all-of-them/

The biggest AI risk in your organization right now isn't a sophisticated attack. It's an employee who has no idea they're doing anything wrong---pasting proprietary data into a public LLM, running an unauthorized agent against a business account, or assuming that because a tool feels safe, it is. By the time that shows up in your logs, if it shows up at all, the exposure already happened.This session names five specific AI behaviors that create real legal, regulatory, and organizational risk---and more importantly, explains why well-intentioned people keep making them. Not becausethey're careless. Because the governance signals they're getting are either absent, too slow, or actively pushing them toward shadow AI. Understanding the gap between how AI policies are written and how people actually behave is the precondition for fixing it.Attendees leave with a clear-eyed map of where the real exposure lives, a framework for operationalizing responsible AI at the individual and team level---not just in policy documents---and a 30-day model for moving from shadow AI chaos to working governance without halting the productivity gains that are already happening on the ground.

### 3:40 PM–4:25 PM · Spec-Driven Development with Antigravity CLI — Structured Agent Workflows with Skills and MCP [HANDS ON; LAPTOP REQUIRED]
Workshop Google Stage · Google Cloud Programming · Bellini Ballroom 2104
Speakers: David Cardozo (Google Cloud)
Page: https://ai4.com/sessions/spec-driven-development-with-antigravity-cli-structured-agent-workflows-with-ski/

**Important Note**: This hands-on, interactive workshop is led by Google Cloud and is open to all Ai4 attendees at no additional cost. No RSVP or separate registration is required. To participate and get the most out of this session, please bring your own device (a laptop is recommended). Devices will not be provided on-site.ABOUT THIS WORKSHOP:Vibe-coding an MVP is fast — but adding features to it by throwing more prompts at the wall is how projects break. You need a way to bring structure and real-world context into AI-assisted development. That's where Antigravity CLI comes in — an AI coding agent that runs in your terminal. On its own, it can understand your code base, run commands, and edit files. Its real power comes from what you plug into it:skills give the agent methodology and domain knowledge — a methodology skill enforces structured development workflows, while a domain skill provides accurate API knowledge so the agent doesn't hallucinate.MCP servers give the agent live connections to external systems — letting it inspect real schemas, run queries, and validate its work against actual data instead of relying on stale training knowledge.Skills shape how the agent thinks; MCP shapes what the agent can see and interact with. Together, they turn a general-purpose coding agent into one that follows a structured workflow grounded in real-world data. This codelab walks you through that combination, from installing plugins to shipping a feature.

### 3:40 PM–4:00 PM · The Agentic Enterprise: Building a Digital Workforce on Top of Legacy Systems
Solo Talk · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Chris Bradley (Veritiv)
Page: https://ai4.com/sessions/the-agentic-enterprise-building-a-digital-workforce-on-top-of-legacy-systems/

Most enterprise AI initiatives still rely on copilots and chat interfaces while critical operational work remains trapped inside legacy systems. This session explores how Veritiv is using agentic AI and computer-use models to drive enterprise transformation by enabling AI agents to navigate enterprise software, process ERP order entry workflows, collaborate with employees in real time, and operate through existing systems like Salesforce, email, and shared inboxes. Chris Bradley will share lessons learned moving from prototypes to production, including governance, human-in-the-loop orchestration, model optimization, and scaling AI without replacing core infrastructure. Attendees will gain a practical view into the emerging enterprise operating model where humans and AI agents work together as coordinated digital teams.

### 3:40 PM–4:00 PM · The Alpha in the Crowd: AI, Prediction Markets, and a Live Trading Demo
Solo Talk · Infrastructure: Data Platforms & Strategy · Titian Ballroom 2302
Speakers: Daniel Sonner (Tauroi Technologies); Avi Thaker (Tauroi Technologies)
Page: https://ai4.com/sessions/the-alpha-in-the-crowd-ai-prediction-markets-and-a-live-trading-demo/

Prediction markets have exploded in popularity, but how are institutional players actually finding an edge? In this session, we will explore the intersection of systematic trading and prediction platforms like Kalshi and Polymarket. Join Tauroi Technologies to discover how automated trading systems decode the future and price risk. To bring the theory to life, we will conduct a live demonstration of an automated strategy executing trades in real-time. We will dive into what these markets mean for the future of forecasting and how quantitative finance principles are being applied to this entirely new asset class.

### 3:40 PM–3:50 PM · What Comes After the Copilot?
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Rohit Anabheri (Lotus Petal)
Page: https://ai4.com/sessions/what-comes-after-the-copilot/

What if most enterprise AI investments are silently failing on the balance sheet , not because the technology doesn't work, but because they're deployed at the wrong layer? In this talk, I'll argue that the intelligence problem is basically solved for enterprise use cases, and that the real frontier has quietly moved to three shifts now reshaping the field: horizontal to vertical, copilot to agent, and automation to market-creation. I'll introduce a framework that separates AI investment into three layers, subtraction, multiplication, and compounding and explain why only one of them actually pays a dividend. Drawing on lessons from the $700 billion federal contracting market being reshaped in real time, I'll show how compounding AI unlocks entire customer segments that were previously locked out by paperwork alone. You'll walk out with one diagnostic question you can bring to your next AI planning meeting the question that separates AI as a cost center from AI as a growth engine.

### 3:40 PM–4:00 PM · Who's Watching the Agents? A Practical Framework for Multi-Agent Governance
Solo Talk · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Angelik Laboy Torres (Retool, Inc.)
Page: https://ai4.com/sessions/who-s-watching-the-agents-a-practical-framework-for-multi-agent-governance/

Who's actually watching your agents and what happens when one of them goes rogue?As enterprises move from single-agent experiments to full agent fleets spanning operations, finance, and compliance, the governance gap has become the #1 reason AI projects get shut down by security and legal teams. The talk will walk you through why multi-agent systems break traditional permission models, where the three most common governance failures happen in production, and how to architect agent systems that your security team will actually trust.Using a live demo, I'll show how to build a governed multi-agent workflow in Retool, where each specialized agent inherits your existing data permissions, RBAC, and human-in-the-loop approval gates from a single centralized platform, with a full audit trail on every decision.Want to leave with a governance checklist you can apply to your agent system today? Come to this talk!

### 3:50 PM–4:00 PM · Reflex: Vibe Code Production-grade Apps in Python
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Nikhil Rao (Reflex)
Page: https://ai4.com/sessions/reflex-vibe-code-production-grade-apps-in-python/

Most AI apps stop at the prototype. What does it take to get one all the way to production?Anyone can generate a working internal app in an afternoon now. Getting one approved and deployed inside a real organization is a completely different problem, and most never make it.I will walk through where these apps actually die, using real examples from Python applications we have taken into hedge funds, engineering firms, and county governments.Come if you are sitting on prototypes your organization will not let you use.

### 3:50 PM–4:35 PM · The Rise of AI Coding Assistants
Panel Session · Coding Assistants & Vibe Coding (technical) · Venetian Ballroom A
Speakers: Nishant Gupta (Meta Superintelligence Lab); Justin Johnson (Renaissance Benefits); David Savage (Nash Squared); Daniel Fernandez Coviella (Visa); Aartee Simran Dhomeja (FedEx Express Corporation)
Page: https://ai4.com/sessions/the-rise-of-ai-coding-assistants/

This panel brings together engineering leaders and technical experts at the intersection of AI and coding who are redefining how software gets written with the help of AI. Topics will include productivity gains from AI pair programming, common failure modes in AI-generated code, and lessons learned from deploying coding assistants at scale. We’ll also touch on trust, explainability, and governance—plus how AI tools are reshaping engineering culture.

### 4:05 PM–4:25 PM · AI Under Trump: Deregulation, Preemption & the New Federal AI
Panel Session AI Policy Summit · AI Policy Summit · Titian Ballroom 2306
Speakers: Jordan Crenshaw (U.S. Chamber of Commerce); Trooper Sanders (State AI Safety Roundtable)
Page: https://ai4.com/sessions/ai-under-trump-deregulation-preemption-and-the-new-federal-ai/

This is the most contested AI policy conversation in Washington right now. The administration's executive orders rescinding Biden's AI EO, the push to preempt state AI laws through the reconciliation bill, the dismantling of AI safety review processes, and the deregulatory posture toward Big Tech are generating active legislative conflict. This panel asks the defining question of 2026: who benefits when Washington steps back from AI oversight — and who bears the cost? Panelists represent the full spectrum: a former federal regulator who knows what is being dismantled, a civil-society leader on what deregulation means for communities, a competitive-district Republican navigating the Trump AI agenda, a think tank scholar on U.S. vs. global regulatory divergence, and a veteran Silicon Valley legislator delivering a 30-year perspective on what this moment actually means.

### 4:05 PM–4:25 PM · Building Unified AI Systems at Enterprise Scale
Solo Talk · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Vinu Krishnaswamy (Turing)
Page: https://ai4.com/sessions/building-unified-ai-systems-at-enterprise-scale/

Most enterprise AI projects stall because of a fragmented stack: agents, evaluation, human review, and observability all managed separately. That complexity slows teams down and introduces risk before anything reaches production. This talk covers how leading organizations have moved to unified AI architectures that treat execution, evaluation, and human oversight as a single system, cutting development cycles and making governance hold in regulated environments. You'll leave with concrete examples and a clear picture of what it takes to ship AI that’s reliable in production.

### 4:05 PM–4:25 PM · ChatGPT Search
Solo Talk · Multimodal AI (technical) · Bellini Ballroom 2102
Speakers: Will Ellsworth (OpenAI)
Page: https://ai4.com/sessions/chatgpt-search/

Past, Present, and Future of Search at OpenAI

### 4:05 PM–4:25 PM · Controlling AI with AI: What it Takes to Secure the Agentic Enterprise
Solo Talk · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Devvret Rishi (Rubrik); Paul St Vil (Rubrik)
Page: https://ai4.com/sessions/controlling-ai-with-ai-what-it-takes-to-secure-the-agentic-enterprise/

AI agents operate at 100x human speed, completely outpacing traditional frameworks for enterprise oversight and control. This unprecedented speed brings unpredictable risk. Whether an agent accidentally goes rogue or is deliberately hijacked by a threat actor, the fallout is instantaneous."In this session we'll confront a hard truth of the agentic enterprise: static, rules-based security and "human-in-the-loop" safeguards are dead. They simply cannot scale against unpredictable, non-deterministic systems. To unleash agents without the risk, you need a fundamentally new architecture where AI governs AI. Join us for a deep dive into this new approach and see exactly how it operates in the wild.• What you'll learn:• Why legacy security fails against autonomous agents and what to do about it• Why you need small language models to enforce semantic policies, instantly decoding intent where rigid machine rules break down• Real world Use Case: How we secured Claude, proactively catching issues like data exposure and credential harvesting• Live Tool Blocking Demo: Instantly identify and neutralize an unauthorized autonomous action before it happens

### 4:05 PM–4:25 PM · Cost per Token Is the New KPI: How HPE and NVIDIA Are Architecting Agentic AI at Enterprise Scale
Solo Talk · Enterprise Architecture · Palazzo Ballroom B
Speakers: Steve Stein (NVIDIA)
Page: https://ai4.com/sessions/cost-per-token-is-the-new-kpi-how-hpe-and-nvidia-are-architecting-agentic-ai-at/

Agentic AI changes enterprise architecture from a model-access problem into a systems-design challenge: autonomous agents chain model calls, retrieve context, invoke tools, and coordinate with other agents, multiplying token consumption while expanding the security and governance boundary across the business. In this session, HPE and NVIDIA will show how they are co-developing enterprise AI factory architectures that make cost per token, data gravity, sovereignty, observability, and policy enforcement core platform design principles. Attendees will learn how accelerated compute, networking, storage, NVIDIA AI Enterprise software, HPE Private Cloud AI, and governed agent runtime controls can help enterprises move from pilot agents to production-scale agentic AI systems that are secure, observable, and economically sustainable.

### 4:05 PM–4:25 PM · Credo AI + Autodesk: Building Trust in Enterprise AI
Fireside Chat · Oversight: AI Explainability Governance & Model Risk · Lando Ballroom 4203
Speakers: Kate Adam (Autodesk); Navrina Singh (Credo AI)
Page: https://ai4.com/sessions/credo-ai-autodesk-building-trust-in-enterprise-ai/

As AI moves from experimentation to enterprise-wide adoption, trust cannot be treated as an afterthought. This fireside conversation between Navrina Singh, Founder and CEO of Credo AI, and Kate Adams, Director of Customer Trust & Employee Awareness at Autodesk, will explore how organizations can connect AI innovation with clear governance, transparency, and employee awareness. The discussion will examine both the human and operational dimensions of building confidence in AI, including how leaders can create shared accountability across teams. Attendees will leave with practical considerations for scaling AI responsibly while maintaining trust with employees, customers, and other stakeholders.

### 4:05 PM–4:50 PM · From Click to Conversion: How AI is Reshaping the eCommerce Funnel
Panel Session · Retail CPG & Ecommerce · Marcello Ballroom 4403
Speakers: Kunal Sonalkar (Nordstrom); Sidharth Thapar (Staples Inc.); Casey Golden (CI&T); Paula Macaggi (OFFBounds); James Williams (Mirakl)
Page: https://ai4.com/sessions/from-click-to-conversion-how-ai-is-reshaping-the-ecommerce-funnel/

In the competitive world of eCommerce, every click counts—and AI is quickly becoming the difference-maker at every stage of the funnel. This panel brings together leaders from top digital-native brands and marketplaces to discuss how AI is being used to optimize acquisition, conversion, and retention. Topics will include dynamic product recommendations, personalized promotions, predictive merchandising, AI-generated creative for A/B testing, and real-time customer segmentation. Panelists will also explore how LLMs and chat agents are being integrated into the buyer journey—from guided shopping to post-purchase support—and what it takes to operationalize these tools at scale. If you're building or selling in a digital storefront, this session will provide actionable insights on how to drive growth and efficiency with AI across the full customer lifecycle.

### 4:05 PM–4:25 PM · From Pilot to Production: A Case Study with Maersk
Solo Talk · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Andy Wang (Dify); Mark Sear (A.P. Moller - Maersk)
Page: https://ai4.com/sessions/from-pilot-to-production-a-case-study-with-maersk/

Most enterprise AI pilots never make it to production. So what actually gets them there? Join Dify and Maersk to hear how to close the gap and turn ideas into governed, reliable agentic workflows the whole business can use. We'll cover the orchestration layer, tools and data access, guardrails, and the build-versus-buy decisions that matter most. And we'll show what it takes to deploy AI agents and applications across a real business, keeping them secure and self-hostable, using insights from other enterprise deployments. Attendees will take away a practical blueprint for the decisions that separate stalled pilots from production AI.

### 4:05 PM–4:45 PM · Frozen Yogurt Syndrome: Designing AI-Ready Strategy
Solo Talk · Data Analytics & BI · Palazzo Ballroom L
Speakers: Nirmayee (Nemo) Dighe (Delaware Life Marketing, A Group 1001 Company)
Page: https://ai4.com/sessions/frozen-yogurt-syndrome-designing-ai-ready-strategy/

Most organizations are suffering from what I call Frozen Yogurt Syndrome: too many tools, too many options, and no clear sequencing. In this session, I will explain why AI initiatives stall when data maturity, governance, and stakeholder readiness are ignored. I will introduce my four-step framework for designing a data strategy that enables AI adoption as an outcome of organizational readiness, not as a starting point. Through real-world examples, I will show how to convert stakeholder pain points into functional use cases, evaluate whether a problem truly requires AI, and scale responsibly with measurable impact. If you are responsible for AI, data, or transformation strategy, this talk will give you a practical structure to move from experimentation to sustained business value.

### 4:05 PM–4:25 PM · Humanistic AI with Tom Gruber, Co-creator of Siri, on How AI Can Augment Human Intelligence
Fireside Chat · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Thomas Germain (The BBC); Tom Gruber (Siri)
Page: https://ai4.com/sessions/humanistic-ai-with-tom-gruber-co-creator-of-siri-on-how-ai-can-augment-human-int/

Almost overnight, the world has come to see that the new technology of large language models and generative AI could change the nature of knowledge work. Trained on the cultural legacy of humanity, these systems can now do many tasks involving language, images, and information that are the expertise of educated professionals. In this overview of modern AI, which is updated with fresh insights every time it is given, Tom explains how these systems are created, what they are great at, what to be careful with, and the exciting applications that they enable. He brings to bear decades of experience in designing AI systems and advising AI companies. Applications include education, creative services, software engineering, knowledge management, mental health care, and augmented cognition. He offers insights into the potential risks to individuals and society from ungoverned applications, and a positive vision for the future of truly personal AI.

### 4:05 PM–4:15 PM · Mind the Slop: Scaling Performance Creative Without Losing Your Brand
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Julia Taconet (Tactimetry)
Page: https://ai4.com/sessions/mind-the-slop-scaling-performance-creative-without-losing-your-brand/

Can you run a fast ad creative machine that drives revenue without producing slop that affects your brand identity? Balancing rapid content scaling with brand integrity is the ultimate marketing quest. I will share the AI-and-human system we built to analyze competitor data and scale multi-language assets. I'll demonstrate how this framework powered NB1's three-language launch using real-time data loops. Join me if you’re a CMO, founder, or growth marketer ready to scale creative without the slop.

### 4:05 PM–4:25 PM · Moving Beyond Completion to Capability: Proving AI Upskilling Actually Works
Solo Talk · Workforce Upskilling For The AI Era · Titian Ballroom 2302
Speakers: JPS Kohli (SkillUp Group); Ratan Deep Singh (SkillUp Online); Benjamin George (SkillUp Group)
Page: https://ai4.com/sessions/moving-beyond-completion-to-capability-proving-ai-upskilling-actually-works/

Your company already pays for Copilot, maybe Claude too, and most of your people use them like expensive autocomplete. Meanwhile the LMS swears everyone's trained. This talk is about the gap between those two facts and what it costs you every quarter. We'll run our measurement model live on stage: real work scored by human reviewers, and dashboards that show whether people actually got faster and better, not whether they clicked Next until a certificate appeared. We'll walk through how one enterprise turned a floor of casual users into people who measurably work differently. Come skeptical. We're bringing receipts.

### 4:05 PM–4:45 PM · Reimagining Our Business with AI
Solo Talk · Healthcare Care Providers · Marcello Ballroom 4404
Speakers: Vijay Sankararaman (Novant Health)
Page: https://ai4.com/sessions/reimagining-our-business-with-ai/

AI isn't replacing the human touch in patient care - it is making room for more of it.Sharing our approach to deliver remarkable patient experience while reducing clinician burden with AI.How we are moving from AI pilots to enterprise-scale transformation across patient experience and operational excellence. How that may apply to peer industry verticals. How our transformation focus is anchored in measurable business value than shiny object syndrome.

### 4:05 PM–4:55 PM · Risk Rewritten: Who Is Accountable When AI Decides? [RSVP REQUIRED]
Roundtable · Roundtable · Room 303
Speakers: Devon Euring (iHeartMedia.)
Page: https://ai4.com/sessions/risk-rewritten-who-is-accountable-when-ai-decides-rsvp-required/

This event requires an RSVP; to attend, submit form hereAs Al agents evolve from tools into autonomous decision-makers, the greatest risk is no longer technical failure - it is the silent erosion of accountability, ethics, and human judgment.In this session, I introduce a Risk-Rewritten framework for governing agentic Al, showing how identity, intent, and trust must be engineered into machines just as rigorously as they are into people.I challenges the audience to rethink where automation should accelerate outcomes - and where the human element must remain the final authority.This is not about slowing innovation; it is about designing Al systems that can be trusted at scale, defended under scrutiny, and aligned to the values of the organizations that deploy them.

### 4:05 PM–4:25 PM · Self-Healing Connectors: AI Agents That Fix Production Breakages Autonomously
Solo Talk · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Pedro Lopez (Airbyte)
Page: https://ai4.com/sessions/self-healing-connectors-ai-agents-that-fix-production-breakages-autonomously/

We gave AI agents the authority to fix our production connectors on their own, while thousands of customer pipelines depended on them not getting it wrong. Upstream APIs change constantly, so we built a system that keeps 600+ connectors healthy autonomously: AI agents detect an issue, diagnose it, and ship the fix automatically. The hard problem turned out to be trust, not code generation. I'll show how we evaluate whether a fix actually works, where we keep a human in the loop and where we don't, and the progressive rollout system that lets an agent's change reach production without risking the whole product. If you're moving agents from demos into production, come see what it takes to let them act autonomously and still sleep at night.

### 4:05 PM–4:25 PM · Smarter Maritime: How AI Is Redefining the Backbone of Global Trade
Solo Talk · Transportation & Logistics · Titian Ballroom 2304
Speakers: Sandipan Bhattacharya (US Ocean)
Page: https://ai4.com/sessions/smarter-maritime-how-ai-is-redefining-the-backbone-of-global-trade/

What happens when AI meets the world’s oldest yet still essential supply chain: global maritime trade? Ships move the goods and energy that power modern life, yet they operate with limited visibility, aging systems, manual workflows, and rising cyber and operational risks. AI is now transforming how vessels navigate, operate, communicate, and stay secure. Attendees will learn how AI enhances safety, strengthens cyber defense at the edge, improves reliability, optimizes performance, and drives long-term maritime resilience.

### 4:05 PM–4:25 PM · Talk to Your Data, Expose Nothing: Zero Model Exposure Analytics
Solo Talk · Generative AI: Applications & Use Cases · Venetian Ballroom E
Speakers: Diego Loureda (Protegrity USA, Inc.)
Page: https://ai4.com/sessions/talk-to-your-data-expose-nothing-zero-model-exposure-analytics/

Talk to your data in any language and get accurate analytics back, while the model never writes a line of SQL or sees a single sensitive value. Natural language is now the front door to enterprise data, but the default text-to-SQL pattern wires an unpredictable model straight into your production database, which is why prompt injection tops the OWASP list for LLM applications and why so many AI projects stall the moment sensitive data is involved. This session walks through a different architecture: the model proposes an inspectable plan, a deterministic compiler validates it against a knowledge graph of permitted entities and joins before any query runs, and the data stays semantically encrypted underneath, so unprivileged users get the same aggregate answer from protected stand-ins. Security through architecture, not good behavior, and it holds even when an autonomous agent is the one asking. You'll leave with a concrete pattern you can apply to your own pipelines.

### 4:05 PM–4:50 PM · The Augmented Contact Center
Panel Session · CX & Customer Service · Delfino Ballroom 4103
Speakers: Kirby Forlin (The Cigna Group); Jonathan Corbin (Maven AGI); Alejandro Villacis (FCP Euro); Andy Tang (Draper Associates); Isaiah Granet (Bland)
Page: https://ai4.com/sessions/the-augmented-contact-center/

AI isn’t just transforming customer-facing chatbots—it’s also empowering human agents behind the scenes. This panel will explore how AI-powered copilots are providing real-time recommendations, automatic call summarization, sentiment analysis, and instant knowledge retrieval to boost agent productivity. Panelists will discuss how companies are deploying these tools in contact centers, measuring improvements in resolution time and customer satisfaction, and balancing automation with the human touch. Expect insights into the platforms and strategies that are redefining the modern contact center and helping organizations deliver faster, more consistent, and more empathetic support at scale.

### 4:05 PM–4:25 PM · The Enterprise Context Graph of Work: A Foundation Model Is Only as Good as the Context Behind It
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Avinash Misra (Skan AI); Amit Patel (Plug and Play Ventures)
Page: https://ai4.com/sessions/the-enterprise-context-graph-of-work-a-foundation-model-is-only-as-good-as-the-c/

Frontier models are brilliant but blind. They know everything except your company: how work actually runs, where it breaks, and the institutional knowledge that lives in no training set. This layer, enterprise context, is the most underestimated and strategically important part of the AI stack, and the hardest for any model to replicate. Most teams try to fill it with stale documents and system logs, and agents grounded in fiction break in production. Avinash Misra, CEO of Skan AI, is ready to explore a different path: grounding AI in a living, observed model of real work. By observing how work runs across people and systems, enterprises can build an Enterprise Context Graph of Work, a continuously updated source of ground truth that closes the gap between what agents are told and what is true. The session covers why context, not model choice, is becoming the durable advantage, and how enterprises can start mapping it today.

### 4:05 PM–4:25 PM · Voice Agent Supervision: Finding the Hidden Cost of Conversational Blind Spots
Solo Talk · Oversight: AI ROI · Palazzo Ballroom D
Speakers: Carter Huffman (Modulate)
Page: https://ai4.com/sessions/voice-agent-supervision-finding-the-hidden-cost-of-conversational-blind-spots/

What if the biggest ROI drain on your voice agent deployment isn't a bug in the system — it's a tone the agent never learned to hear?Voice agents are scaling fast, but most enterprises have no way to measure where they're quietly losing money to conversational blind spots: misread emotion, missed emphasis, and frustration signals buried in audio that never surface in a transcript until they show up as escalations and churn. This talk will explain how to supervise voice agents through conversational understanding, treating tone and emphasis as first-class signals so teams can catch and correct friction mid-conversation. It will also walk through how to translate agent-level errors into the financial metrics that make or break the ROI case for voice AI. If you're accountable for justifying the cost of voice agents at your company, this talk will give you a concrete framework for finding and fixing the value you're leaving on the table.

### 4:05 PM–4:25 PM · When the Rubber Meets the Road: How the Consumer Bank is Realizing Value
Solo Talk · Financial Services Banks · Lando Ballroom 4204
Speakers: Keenan Moukarzel (KeyBank)
Page: https://ai4.com/sessions/when-the-rubber-meets-the-road-how-the-consumer-bank-is-realizing-value/

When you think about effective management strategy for operational success, you think of People, Process and Technology. The latter (Technology) is not the problem in generating value in the AI field - it's mostly solved. It's the People and Process part that is challenging in an already existing business. In this talk, we will discuss how to think about generating value for the business in the banking world, how to effectively identify AI opportunities that don't disrupt the business but add value. It's not always the most complex things that can give your business quick wins.

### 4:05 PM–4:25 PM · Why AI Agents Act on the Wrong Context
Solo Talk · AI Agents (technical) · Veronese Ballroom 2504
Speakers: Xiaowei Jiang (Tacnode)
Page: https://ai4.com/sessions/why-ai-agents-act-on-the-wrong-context/

Why do AI agents fail even when the model, prompts, and infrastructure seem correct? I will show how most agent architectures assemble context from fragmented systems—streams, databases, vector stores, and caches—without guaranteeing that the retrieved state ever fully coexisted. In personalization, fraud detection, and multi-agent workflows, this leads to agents acting on incomplete, stale, or conflicting context—especially under concurrency. I’ll break down where these gaps emerge and why scaling amplifies them. You’ll leave with a systems-level pattern for maintaining correct, decision-time context across streaming, relational, and vector workloads.

### 4:05 PM–4:25 PM · Why Your Next Enterprise App Won't Come From a Vendor
Solo Talk · Hr & Recruiting · Palazzo Ballroom E
Speakers: Ashutosh Garg (Eightfold AI)
Page: https://ai4.com/sessions/why-your-next-enterprise-app-won-t-come-from-a-vendor/

For twenty years, buying enterprise software meant filing requirements, waiting on a vendor's roadmap, and living with a workflow no one on the team actually chose. That era is ending: the barriers to building custom software are collapsing right alongside AI's own advances, and even experienced engineers now build with AI as their default toolkit, not the exception. The next wave of enterprise applications will come from the people who understand the problem best, armed with real domain intelligence instead of a generic model.Eightfold's TalentForge — a platform that lets teams build custom talent applications on top of deep, purpose-built domain intelligence rather than a generic LLM — brings this to life. It's a different role for a vendor to play: instead of selling you the finished app, we're handing you the domain expertise and the tools to build the one your team actually needs. Attendees will leave with a sharper framework for rethinking build versus buy, and a clear-eyed look at what it actually takes to turn domain expertise into working software. For anyone setting technology strategy for their organization, this is a shift worth getting ahead of before competitors do.

### 4:15 PM–4:25 PM · CIG: Complete, Instant, Governed Context for Enterprise AI
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Evan Fleisch (Euno)
Page: https://ai4.com/sessions/cig-complete-instant-governed-context-for-enterprise-ai/

In 2026, organizations expect AI to just work on their enterprise data. But simply connecting agents to platforms like Snowflake or Databricks isn't enough. The result is often hallucinations, inconsistent answers, broken trust, and a growing governance burden that can't keep pace with the speed of AI.In this session, we'll show how Euno customers take a different approach. By leveraging Euno's Enterprise AI Context Platform, they enable agents like Claude and Cursor to work accurately and safely on top of enterprise data, consistently querying the right data, applying the right business logic, and returning reliable, explainable results.AI agents need context to understand enterprise data, and that context is fragmented across the modern data and AI stack. Through a live walkthrough, we'll show how Euno automatically unifies lineage, ownership, governance, semantic definitions, and institutional knowledge across warehouses, ETL/ELT pipelines, observability platforms, security tools, BI platforms, and more. That trusted context is then surfaced directly to the AI agents your teams already use.This session is designed for data and AI leaders who are deploying AI on top of their core data platforms to accelerate decision-making across both technical and business teams. You'll leave with a practical blueprint for grounding AI agents in complete, governed, real-time context, and an emerging enterprise standard for making AI work reliably on enterprise data.

### 4:30 PM–4:50 PM · AI Fatigue Is Real - Your Governance Model Needs a Makeover
Solo Talk · Oversight: AI Explainability Governance & Model Risk · Lando Ballroom 4203
Speakers: Jessica Davis (USA TODAY Co., Inc.)
Page: https://ai4.com/sessions/ai-fatigue-is-real-your-governance-model-needs-a-makeover/

AI fatigue is real and your governance model may be making it worse. As AI scales, manual review creates bottlenecks, not quality. I'll share how USA TODAY Co. is modernizing governance with automated AI evaluations: structured standards that scale without the burden. Leave with a practical framework for stronger accountability and less manual overhead. If the old model isn't holding, this talk is for you.

### 4:30 PM–4:50 PM · AI-Driven Software Lifecycle Evolution at FanDuel
Solo Talk · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Bryce Macher (Fan Duel)
Page: https://ai4.com/sessions/ai-driven-software-lifecycle-evolution-at-fanduel/

What if the highest-leverage AI investment is a rebuilt software development lifecycle? I’ll show how we used agent-centric dev lifecycle patterns to compress the path from concept to prototype to production, redefining many stages and enabling engineering, product, and marketing teams to operate on the same accelerated delivery loop. I’ll cover put maturity arc to incorporating and sustaining agentic tooling, code generation, evaluation frameworks, and continuous learning pipelines the improved experimentation velocity and customer relevance - including the many missteps. I’ll explain the technical and operating model changes required to move from isolated pilots to scalable, production-grade AI capabilities. Attend if you want to learn how leading organizations are turning AI into a durable software delivery advantage.

### 4:30 PM–4:50 PM · AI, National Security & Geopolitical Competition
Panel Session AI Policy Summit · AI Policy Summit · Titian Ballroom 2306
Speakers: Daniel Dobos (AI For Good Impact Initiative); Lee Tiedrich (Tiedrich Global Strategies (former NIST, OECD consultant, AmLaw 50 partner, and International Safety Report Senior Advisor))
Page: https://ai4.com/sessions/ai-national-security-and-geopolitical-competition/

National security is the fastest-growing dimension of AI policy, with bipartisan urgency around export controls, autonomous weapons, and the intelligence community's AI adoption. This panel ensures the Summit addresses the full spectrum of AI governance — not just enterprise compliance — and elevates RegulatingAI's positioning in the national security policy space, where AI governance funding and political attention is increasingly concentrated.

### 4:30 PM–4:50 PM · AI, Talent, and Opportunity: Building the Workforce of the Future
Fireside Chat · Hr & Recruiting · Palazzo Ballroom E
Speakers: Ron Schmelzer (Forbes / Scalebrate); Kiersten Barnet (New York Jobs CEO Council)
Page: https://ai4.com/sessions/ai-talent-and-opportunity-building-the-workforce-of-the-future/

As AI reshapes jobs and hiring, employers face a critical challenge: ensuring technology expands opportunity rather than narrows it. In this fireside chat, Kiersten Barnet, Executive Director of the New York Jobs CEO Council, discusses how leading employers are using AI while investing in skills, partnerships, and new talent pipelines. She'll share lessons from bringing together major companies to connect underserved talent with career-track jobs and explore how AI can help organizations build more inclusive, resilient workforces.

### 4:30 PM–5:15 PM · Architecting the Future: The AI Tech Stack for Modern Banking
Panel Session · Financial Services Banks · Lando Ballroom 4204
Speakers: Murali Boddu (Deutsche Bank); Stephen Frein (Fulton Bank); Bhairav Mehta (JPMorganChase); Naomi Nix (Freelance)
Page: https://ai4.com/sessions/architecting-the-future-the-ai-tech-stack-for-modern-banking/

Scaling artificial intelligence in financial services requires a highly specialized, secure, and compliant infrastructure. This panel dives into the foundational architecture necessary to power enterprise AI across the banking ecosystem. Learn how leading institutions are assembling their data pipelines, vector databases, large language models, and AI orchestration platforms. Panelists will discuss the buy versus build dilemma, cloud infrastructure strategies, and how to modernize legacy systems to support advanced AI workloads. Walk away with tactical insights on selecting the right tools, managing compute resources, and building a scalable tech stack that moves AI from proof of concept into robust production.

### 4:30 PM–4:50 PM · Beyond the Copilot: Building the Agentic AI Platform for Sports
Solo Talk · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Alireza Aliamiri (Major League Soccer)
Page: https://ai4.com/sessions/beyond-the-copilot-building-the-agentic-ai-platform-for-sports/

Sports organizations are moving beyond AI as a personal productivity tool and toward agentic systems that operate across real enterprise workflows. Grounded in Major League Soccer’s experience, this session will explore how leagues and sports businesses can move from pilots and point solutions to production-grade agentic AI capabilities across contract and compliance, content understanding, generative production, personalization, and fan support.We’ll examine what it takes to build an agentic AI platform for a modern sports organization, including orchestration across tools and data, governance, human-in-the-loop controls, observability, reliability, and ROI measurement tied to tangible efficiency gains and improved stakeholder experiences.Attendees will leave with a practical framework for scaling AI agents from promising demos into governed platform capabilities that improve how sports organizations operate, support partners and teams, and engage fans.

### 4:30 PM–4:50 PM · From 20 to 2,000: How Cox Built an AI-Capable Workforce
Solo Talk · Workforce Upskilling For The AI Era · Titian Ballroom 2302
Speakers: David Lee (Cox Communications)
Page: https://ai4.com/sessions/from-20-to-2-000-how-cox-built-an-ai-capable-workforce/

Three years ago, fewer than a dozen people at Cox knew how to build with AI. Today, that number is 2,000 and climbing. Every company is now racing to turn AI hype into real capability, but the bottleneck isn't models or budget—it's people who know how to use them. This session walks through how Cox scaled AI fluency across the organization: the vision that anchored it, the learning communities that spread it, and the tooling and platforms that made building accessible to non-experts. Walk away with a practical path for growing human AI capability from a handful of pioneers to a workforce.

### 4:30 PM–4:50 PM · From Automation to Autonomy: Architecting the Agentic Enterprise
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Lutz Beck (Daimler Truck North America)
Page: https://ai4.com/sessions/from-automation-to-autonomy-architecting-the-agentic-enterprise/

AI is advancing rapidly—from automation to autonomy. Agentic AI systems can plan, decide, and execute across entire business processes, fundamentally changing how companies operate, how processes are designed, and how work gets done. In this session, we’ll explore the central role IT and CIOs play in this shift, how to architect the agentic enterprise, and how to enable the business throughout this transformation.

### 4:30 PM–4:50 PM · From Hype to ROI: The Human-Tech Adaptation Index
Solo Talk · Oversight: AI ROI · Palazzo Ballroom D
Speakers: Hemachandran Kannan (Woxsen University)
Page: https://ai4.com/sessions/from-hype-to-roi-the-human-tech-adaptation-index/

Most AI projects fail—not because of technology, but because humans aren’t ready to adapt. In this talk, I will introduce the Human-Tech Adaptation Index (HTAI), a field-tested framework that measures readiness and identifies the real barriers to AI adoption. I will share data from corporate and academic pilots, showing how HTAI links ethics, change management, and workforce capability directly to ROI. Attendees will learn a practical way to benchmark their organization and move from experimentation to enterprise-scale impact. Join me if you want AI that delivers value—not just headlines.

### 4:30 PM–5:10 PM · HIve: A Governed Agentic Workflow Platform for Healthcare
Solo Talk · AI Agents (technical) · Veronese Ballroom 2504
Speakers: Glenn Fung (Exact Sciences Corp)
Page: https://ai4.com/sessions/hive-a-governed-agentic-workflow-platform-for-healthcare/

As AI adoption accelerates across Exact Sciences, the real impact comes from embedding AI directly into business workflows—not from isolated model use. Our enterprise AI platform is being built to make AI integrations secure, repeatable, observable, and production-ready. It provides GPU-enabled infrastructure, production-grade MLOps, continuous delivery, observability for non-deterministic systems, human-in-the-loop guardrails, and cost governance as composable platform primitives.At the core is Hive, the foundation of our agentic ecosystem and the standard for building, deploying, and managing AI-powered automation. Hive orchestrates multi-step workflows, enforces compliance guardrails, tracks AI spend, and delivers end-to-end visibility from first model call to final output.This isn’t another AI framework—it’s enterprise infrastructure. Teams can use tools like LangChain, PydanticAI, LlamaIndex, or Strands, while Hive adds orchestration, governance, and observability. No rewrites required—just plug in and scale.

### 4:30 PM–5:15 PM · Multimodal data analytics and agents with BigQuery AI & Gemini
Workshop Google Stage · Google Cloud Programming · Bellini Ballroom 2104
Speakers: Vaibhav Sethi (Google Cloud)
Page: https://ai4.com/sessions/multimodal-data-analytics-and-agents-with-bigquery-ai-and-gemini/

**Important Note**: This interactive workshop is led by Google Cloud and is open to all Ai4 attendees at no additional cost. No RSVP or separate registration is required. ABOUT THIS WORKSHOP:A bulk of enterprise data is in documents, images, audio, and text, leaving a massive gap in business insights. This session explores how to bridge this gap by unifying both structured and unstructured data analytics directly within your data platform (BigQuery) with help of Gemini. We will demonstrate how to turn this unified data into actionable an actionable insights and into a conversational agent and deploy across your organization using Gemini Enterprise while maintaining robust governance and access control.Join us to learn the blueprint for transforming your raw, multimodal data into an accessible, interactive, and governed AI experience for your entire workforce.Takeaways:Strategies for bringing structured and unstructured data together seamlessly in BigQuery.How to create conversational AI agents natively within BigQuery to chat with your data.Best practices for deploying these agents securely via Gemini Enterprise for broader organizational use."

### 4:30 PM–5:20 PM · Neurodivergent Intelligence [RSVP REQUIRED]
Roundtable · Roundtable · Room 305
Speakers: Johan Zamora (The Art of the Possible)
Page: https://ai4.com/sessions/neurodivergent-intelligence-rsvp-required/

This event requires an RSVP; to attend, submit form hereWhat if neurodivergence is not a limitation to accommodate, but an intelligence system to design around? This roundtable will explore how neurodivergent minds recognize patterns, move through complexity, generate momentum, and expose possibilities that traditional systems often miss. I will share how my lived experience as a neurodivergent leader shapes my work in enterprise data, AI, JOAO, FocusFlow, and The Art of the Possible. Attendees will learn how neurodivergent-first design can create better tools for focus, emotional safety, learning, creativity, and execution. The conversation will invite participants to rethink accessibility, productivity, and intelligence itself as we imagine systems built for minds that move differently.

### 4:30 PM–4:50 PM · Pit Stops, Not Rebuilds: Modular AI Infrastructure Under Performance Pressure & Regulatory Scrutiny
Solo Talk · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Max Gokhman (Franklin Templeton)
Page: https://ai4.com/sessions/pit-stops-not-rebuilds-modular-ai-infrastructure-under-performance-pressure-and/

In motorsport, no team rebuilds the car mid-race — they engineer it so key parts can be swapped or adjusted in seconds without compromising safety or speed. Enterprises in regulated industries like investment management face the same challenge with AI: model capabilities are evolving monthly and peers keep competition fierce, but decision quality and compliance cannot be compromised.This session presents a practical playbook for building agentic harnesses that evolve at the speed of technological change — separating the durable layers like governance, client constraints, and auditability from the modular ones such as models, data streams, and orchestration frameworks. Attendees will leave with concrete frameworks, vendor-selection criteria, and lessons from building agentic systems inside one of the world's largest asset managers. If your AI roadmap changes every quarter but your scrutineers don't, this talk will help tune your chassis to perform within track limits.

### 4:30 PM–5:10 PM · Scaling Holistic Predictive Intelligence Pipelines with the Split-Brain Spiderweb Architecture
Solo Talk · Multimodal AI (technical) · Bellini Ballroom 2102
Speakers: Rcrysta Shaneih (Ryder Systems Inc.)
Page: https://ai4.com/sessions/scaling-holistic-predictive-intelligence-pipelines-with-the-split-brain-spiderwe/

Inspired by neuroscience, the 360-Degree Split-Brain Spiderweb Architecture introduces a novel way to scale holistic predictive intelligence pipelines by decoupling forecasting, influence modeling, and interpretation into specialized but connected components. At Ryder Systems Inc., this architecture was implemented to scale multi-model pipelines across platforms, leveraging modular deployment, automation, and orchestration to support production forecasting and market intelligence use cases.Session attendees will learn how to build enterprise-ready AI architectures that mimic cognitive specialization: deploying stable forecasting models as the “Predictive Brain,” pairing them with influence and explainability models as the “Influential Brain,” and extending interpretation through a “Cognitive Agentic Interpretation Brain” that helps translate analytical outputs into decision-ready intelligence.This session will equip AI/ML engineers, data scientists, and AI leaders with a practical blueprint for building scalable, interpretable, and production-ready predictive intelligence systems that move beyond single-model forecasting toward holistic AI architectures.

### 4:30 PM–4:50 PM · Smarter Jobsites: Coordinating People, Tools, and Machines
Fireside Chat · Generative AI Deployment At Scale · Venetian Ballroom E
Speakers: Kate Park (TechCrunch); Jaime Mineart (Caterpillar)
Page: https://ai4.com/sessions/smarter-jobsites-coordinating-people-tools-and-machines/

AI is moving from digital tools into the physical world, where machines, data and people work together to make jobsites safer, more productive and more efficient. In this fireside chat, Jaime Mineart will share how Caterpillar is applying AI, autonomy and edge computing to real customer challenges — from labor constraints and operator support to complex workflows in mining and construction. The discussion will also explore what it takes to scale these technologies responsibly: starting with the customer outcome, integrating with existing operations, and building the right guardrails for safety, governance and trust.

### 4:30 PM–4:50 PM · The Agentic AI Problem: Why Autonomous IT Requires a Different Trust Architecture
Solo Talk · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Oshri Moyal (Atera)
Page: https://ai4.com/sessions/the-agentic-ai-problem-why-autonomous-it-requires-a-different-trust-architecture/

Most AI agent conversations focus on what agents can do. In IT, the more important question is what they should be allowed to do. When an agent can modify configurations and access or delete data, capability without constraint becomes a liability. In this session, Atera CTO and co-founder Oshri Moyal will share the architectural decisions Atera made when designing action boundaries, and offer a practical lens for evaluating agentic systems by how they handle scope, permissions, and the cost of being wrong. If you're building or deploying AI agents in high-stakes environments, this session will change how you think about production readiness.

### 4:30 PM–4:50 PM · The Missing Layer: AI Orchestration Director
Solo Talk · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Nirmal Jingar (Wayfair)
Page: https://ai4.com/sessions/the-missing-layer-ai-orchestration-director/

Most AI systems fail not because the models are weak but because the coordination layer is missing. This talk will explain why multi agent systems need an orchestration director that manages planning, validation, governance, and execution across agents. I will walk through real architectural patterns for deterministic workflows, agent communication, escalation handling, and failure recovery. Attendees will learn how to design scalable and trustworthy AI systems that avoid chaos, hallucinations, and inconsistent decisions. This session is for engineers and leaders building production grade AI platforms beyond simple chatbot experiences.

### 4:30 PM–4:50 PM · Using AI to Accelerate Enterprise Architecture as Code
Solo Talk · Enterprise Architecture · Palazzo Ballroom B
Speakers: Kevin Kohut (First Horizon Bank)
Page: https://ai4.com/sessions/using-ai-to-accelerate-enterprise-architecture-as-code/

How we used AI workflows to create versioned Enterprise Architecture assets in hours instead of weeks.Enterprise Architecture projects involve lots of discovery and analysis followed by manually creating sequence diagrams, architecture designs, and relevant documentation. In this session we will show, in real time, taking a D&A meeting transcript and create initial EA documentation and sequence diagrams,Whether you are an Enterprise Architect, Product Owner, Business Analyst, or any other stakeholder in a product team you will discover how AI can help accelerate your own projects.

### 4:55 PM–5:15 PM · AI Governance in the Tech Stack - Making AI Safe to Scale – AI Governance as Code
Solo Talk · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Marc Cagulangan (CSX)
Page: https://ai4.com/sessions/ai-governance-in-the-tech-stack-making-ai-safe-to-scale-ai-governance-as-code/

AI Governance in the Tech StackWhat if your governance policies could execute themselves—directly enforcing control at every layer of your technology stack? As organizations scale AI and automation, traditional governance models struggle to keep pace, creating gaps between policy, execution, and auditability. In this session I will discuss how to embed governance directly into CI/CD pipelines, runtime environments, and agent workflows using a “AI Governance-as Code” approach. Attendees will learn how to translate risk, compliance, and security requirements into enforceable controls that operate in real time across modern AI systems. They will also see how this model improves audit readiness, reduces operational risk, and enables scalable oversight. Join this session to move from static policy documents to living, executable governance that scales with your technology.

### 4:55 PM–5:15 PM · AI's Hidden Cost: What Boards Need to Budget for Before It's Too Late
Solo Talk · Oversight: AI ROI · Palazzo Ballroom D
Speakers: Joe Vadakkan (CSA Arizona); Sandeep Desai (Arizona Department of Eduction)
Page: https://ai4.com/sessions/ai-s-hidden-cost-what-boards-need-to-budget-for-before-it-s-too-late/

Most organizations invest in AI focusing clearly on gains but have little visibility into the associated financial exposure. In this practitioner-led session, a public sector CISO and a globally recognized cloud and AI security leader cut through the noise to address what boards are missing: how AI risk translates into real financial consequences and what a responsible, defensible AI strategy actually looks like.Attendees will leave with actionable items they can immediately bring back to leadership.

### 4:55 PM–5:15 PM · Applied Innovation and Agentic AI
Solo Talk · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Sarah Hammer (AI)
Page: https://ai4.com/sessions/applied-innovation-and-agentic-ai/

The next wave of AI is not about chatbots—it is about autonomous agents that can analyze information, make recommendations, coordinate workflows, and execute work across the enterprise. Financial institutions are beginning to move beyond productivity tools toward agentic operating models that have the potential to transform investment management, operations, risk management, and client service. This session examines what the agentic financial institution may look like and the strategic and governance decisions leaders face today to prepare for that future.

### 4:55 PM–5:15 PM · Beyond Usage: A Leader's Playbook for an AI-Fluent Workforce
Solo Talk · Workforce Upskilling For The AI Era · Titian Ballroom 2302
Speakers: Ilai Soloducho (Strauss Group); Nurit Revah (EmbraceAI Global)
Page: https://ai4.com/sessions/beyond-usage-a-leader-s-playbook-for-an-ai-fluent-workforce/

Nearly every company has AI tools; far fewer have an AI-fluent workforce — and that gap, not access, is where adoption stalls. In a 20-minute fireside chat, Nurit Revah and Ilai Soloducho share a practical framework for moving teams from first-draft creators to AI orchestrators — the habits that compound, training on real use cases, and measuring quality so trust holds. Leave with an executive playbook for Monday morning.

### 4:55 PM–5:15 PM · Building the Thinking Enterprise: From Enterprise Architecture to Enterprise Intelligence
Solo Talk · Enterprise Architecture · Palazzo Ballroom B
Speakers: Chalamayya Batchu Veera (Florida Power & Light)
Page: https://ai4.com/sessions/building-the-thinking-enterprise-from-enterprise-architecture-to-enterprise-inte/

Enterprise AI is only as intelligent as the enterprise knowledge, context, and relationships it can access, but most organizations have not architected this foundation for AI. In this talk, I will explain how Enterprise Architecture must evolve from documenting systems and technology landscapes into an intelligence layer that enables trusted, scalable, and governed AI adoption. I will introduce the concept of Enterprise Intelligence Architecture, a blueprint that connects business capabilities, data, applications, knowledge, policies, and decisions to support AI-native organizations. Attendees will learn how Enterprise Architects can help bridge the gap between AI capabilities and enterprise context while creating a foundation for responsible AI transformation. Join me to explore how the future of Enterprise Architecture is shifting from managing technology complexity to enabling enterprise intelligence.

### 4:55 PM–5:15 PM · From Policy to Practice: A Blueprint for Responsible AI Leadership
Solo Talk · AI Policy Summit · Titian Ballroom 2306
Speakers: Ravi Pendse (University of Michigan)
Page: https://ai4.com/sessions/from-policy-to-practice-a-blueprint-for-responsible-ai-leadership/

The closing keynote shifts from debate to action — translating the day's policy conversations into a concrete framework for responsible AI leadership. Against a backdrop of federal deregulation and international regulatory divergence, this session asks what governance structures, accountability mechanisms, and leadership commitments truly separate principled AI adoption from performative compliance — and closes the summit with a practical blueprint.

### 4:55 PM–5:15 PM · From Vibe Coding to Production: What It Takes to Scale AI Coding Assistants Across the Enterprise
Solo Talk · Coding Assistants & Vibe Coding (technical) · Venetian Ballroom A
Speakers: Albert Milton (Hitachi Energy)
Page: https://ai4.com/sessions/from-vibe-coding-to-production-what-it-takes-to-scale-ai-coding-assistants-acros/

AI coding assistants can generate code in seconds. Turning that speed into secure, scalable software delivery across an enterprise is a very different challenge—and one many organizations are still learning to solve.Drawing on lessons from leading AI enablement across a global engineering organization, I’ll show what changes when teams move beyond “vibe coding” to enterprise-scale software delivery. We’ll explore where AI meaningfully accelerates the development lifecycle—including code generation, reviews, testing, debugging, documentation, and modernization—and where it can introduce risks to quality, security, governance, and maintainability. I’ll also share practical adoption strategies, common pitfalls, and how we built developer trust without forcing adoption.You’ll leave with a practical framework for scaling AI coding assistants from individual productivity gains to secure, dependable enterprise software delivery.

### 4:55 PM–5:15 PM · Garbage In, Trusted Out: Fixing the Knowledge Layer That Instructs CX AI
Solo Talk · CX & Customer Service · Delfino Ballroom 4103
Speakers: John Copeland (eGain)
Page: https://ai4.com/sessions/garbage-in-trusted-out-fixing-the-knowledge-layer-that-instructs-cx-ai/

The rush to deploy AI in customer experience has surfaced an uncomfortable truth: most organizations are pointing powerful models at organizational knowledge that is fragmented, inconsistent, and ungoverned. But direct a brilliant model to broken knowledge and it only leads to disaster. Across self-service, agent assist, and automation, teams are learning that AI does not fix bad knowledge, it amplifies it. Conflicting policies, stale procedures, duplicate content, and undocumented expertise turn into wrong answers to customers, broken automations, compliance exposure, and a steady erosion of trust in both the AI and the brand behind it. This session examines how leading CX organizations are building a trusted instruction layer for enterprise AI: the foundation that lets these systems deliver instant, trusted answers across every channel. Drawing on lessons from hyper-scale AI deployments, we will look at how to move beyond traditional knowledge management toward AI-ready infrastructure that reliably powers self-service, agent assist, and agentic automation, so customers get answers they can rely on and AI earns the trust it needs to scale.

### 4:55 PM–5:15 PM · Lessons Learned in Deploying AI Agents in Industrial Workflows by  Somya Kapoor, CEO, IFS Loops
Solo Talk · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Somya Kapoor (IFS Loops)
Page: https://ai4.com/sessions/lessons-learned-in-deploying-ai-agents-in-industrial-workflows-by-somya-kapoor-c/

95% of gen AI pilots fail to produce measurable financial impact. The reason is rarely the model.80% of deployment effort goes to data, governance, and workflow integration, not AI. Yet most teams spend their time evaluating models and chasing the latest foundation release. The infrastructure underneath the agent is where deployments live or die.Somya Kapoor, CEO of IFS Loops, has spent years deploying AI agents in real industrial environments across manufacturing, energy, field service, and supply chain. In this session, she shares eight hard-won lessons from live production deployments, not pilots that quietly died in a sandbox.You will leave knowing how to identify the right workflows, build governance before agents go live, and understand why your orchestration layer, not your model, is your real competitive advantage.If you are ready to move from pilot to production, this is the session you cannot afford to miss.

### 4:55 PM–5:15 PM · Mission Control - Giving AI Agency (Without Losing Control)
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Payal Patel (Freshworks)
Page: https://ai4.com/sessions/mission-control-giving-ai-agency-without-losing-control/

The AI conversation has become uncomfortably binary: either hand everything to AI and hope for the best, or resist automation entirely and fall behind. But the organizations achieving real results are doing something different—they're building Mission Control architectures where AI has genuine agency to act autonomously, while humans maintain strategic oversight. This is the lesson from NASA's Mission Control: autonomous systems handled thousands of micro-decisions during Apollo missions, but flight directors always knew what was happening and could intervene when judgment mattered. The spacecraft didn't ask permission to adjust trajectory for every solar wind fluctuation—that would be absurd. But when an oxygen tank exploded on Apollo 13, human expertise took over immediately. Service operations need the same architecture. AI agents that deflect 65% of routine tickets without human review. Copilots that suggest responses agents can accept with one click—or override when context demands it. Insights that surface trends proactively but let leaders decide what action to take. This is AI with agency: sophisticated enough to act independently, architected carefully enough that you never lose control. Through real examples and the Mission Control framework, we'll explore how to calibrate agency correctly—knowing when AI should act autonomously (password resets, routine requests, policy questions), when it should assist human decision-making (complex troubleshooting, escalations, edge cases), and when humans must stay in full control (strategic decisions, sensitive situations, novel problems). The result is service operations where AI handles exponentially more work while leaders feel more in control, not less. Key takeaways are, the agency paradox: why giving AI more autonomy (in the right places) actually increases human control over outcomes. Mission Control architecture: the three layers of agency (autonomous action, assisted decisions, human-led strategy). Calibrating agency correctly: frameworks for deciding what AI handles independently vs. where humans stay in the loop. Real benchmarks from organizations getting agency right: 65% autonomous deflection, 76% faster resolution, zero loss of quality or control. Governance without bureaucracy: how to build oversight that enables speed rather than blocking it. The agentic AI maturity curve: progressing from AI-assisted to AI-autonomous operations while maintaining strategic control

### 4:55 PM–5:15 PM · Nothing Is Undruggable: Frontier Medicines' AI Discovery Engine
Solo Talk · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Johannes Hermann (Frontier Medicines)
Page: https://ai4.com/sessions/nothing-is-undruggable-frontier-medicines-ai-discovery-engine/

What if the proteins we call "undruggable" simply haven't met the right drug discovery platform and infrastructure? Most disease-relevant proteins are considered undruggable, putting potential therapies for cancer and other diseases out of reach — and while covalent chemistry has long held the potential to unlock them, the field has lacked the data and models to apply it systematically. This talk goes inside the infrastructure Frontier Medicines built to change that: a proprietary data asset spanning seven years and hundreds of millions of measured molecular interactions, and CovalentAI, a suite of covalent-specific models trained on it. You'll learn how experimental profiling reveals binding sites that were previously invisible, how CovalentAI scores and ranks them to assess probability of technical success and shape discovery strategy, and how an MCP-powered agentic layer puts specialist-grade analysis in every scientist's hands. Underlying it all is a durable strategic advantage: the data can't be sourced, only generated over years, so every program makes the next one faster. Join us to see how proprietary experimental data generation & purpose-built AI combine to unlock the undruggable proteome and create a pipeline of potential new medicines for patients.

### 4:55 PM–5:15 PM · Practical and Principled Approaches to AI Alignment
Solo Talk · Oversight: AI Explainability Governance & Model Risk · Lando Ballroom 4203
Speakers: Jon Kutasov (Anthropic)
Page: https://ai4.com/sessions/practical-and-principled-approaches-to-ai-alignment/

Artificial superintelligence may be here within a few years. To prevent catastrophic outcomes, this ASI will need to be aligned to human values. Achieving this will require principled approaches that can scale through very fast improvements in capabilities while also being practical enough to implement quickly. I will discuss my approach to this problem, focusing primarily on my recent blog post (Teaching Claude Why).

### 4:55 PM–5:15 PM · Presentation by Emmett Shear, Softmax
Solo Talk · AI Safety & Alignment · Venetian Ballroom E
Speakers: Emmett Shear (Softmax)
Page: https://ai4.com/sessions/presentation-by-emmett-shear-softmax/

### 4:55 PM–5:15 PM · The Rise of Autonomous Shopper Intelligence, Presentation by Lizbeth James, Mars
Solo Talk · Retail CPG & Ecommerce · Marcello Ballroom 4403
Speakers: Lizbeth James (Mars)
Page: https://ai4.com/sessions/the-rise-of-autonomous-shopper-intelligence-presentation-by-lizbeth-james-mars/

For decades, brands have relied on syndicated panels and historical reporting to understand consumers, but today's connected commerce ecosystem provides a much richer view of actual shopper behavior. In this session, I will explore how retailer first-party data, retail media networks, digital shelf signals, and Agentic AI are transforming the way organizations generate insights and make decisions. Drawing on experiences across Mars, Nestlé, Coca-Cola, Dorel Juvenile, and the Walmart ecosystem, I'll share how AI is helping organizations transform shopper data into real-time, actionable intelligence. Attendees will learn practical approaches for moving beyond traditional consumer measurement and building AI-powered decision ecosystems that continuously learn, recommend, and optimize actions. Join me to discover how Autonomous Shopper Intelligence is becoming the foundation for the next generation of growth.

### 4:55 PM–5:15 PM · Turning AI Research into AI Action
Solo Talk · Healthcare Care Providers · Marcello Ballroom 4404
Speakers: Micky Tripathi (Mayo Clinic)
Page: https://ai4.com/sessions/turning-ai-research-into-ai-action/

AI holds enormous promise to improve patient care, but only if it moves beyond research and into everyday clinical practice. Today, the biggest challenge is not developing AI, but ensuring it is safely implemented, trusted by clinicians, and meaningfully integrated into care delivery. This session will explore how healthcare organizations can accelerate the adoption of clinical AI while maintaining a focus on safety, trust, and the human connection to deliver better outcomes for patients.

### 5:00 PM–6:00 PM · Exhibit Hall Reception
Meetups & Receptions · Halls B&C
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDQwMDQwOA==

## Thursday, August 6, 2026

### 7:00 AM–8:30 AM · Breakfast Available
Breaks & Meals · Hall D
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDQwMDQwNg==

### 7:15 AM–4:00 PM · Registration Open
Registration · Venetian Expo Lobby
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDQwMDM5Nw==

### 8:00 AM–9:55 AM · Keynote Sessions
Keynote · Keynote · Hall A - Keynotes
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDQwMDQxNA==

### 8:11 AM–8:39 AM · AI That Understands The Real World
Keynote · Keynote · Hall A - Keynotes
Speakers: Anastasis Germanidis (Runway); Inhi Cho Suh (Niantic Spatial); Oliver Cameron (Odyssey); Jared Perlo (NBC News)
Page: https://ai4.com/sessions/ai-that-understands-the-real-world/

Today’s AI can generate text, images, and video, but the next frontier is systems that understand space, motion, physics, geography, and the structure of the physical world. This panel brings together leaders building world models and spatial intelligence systems to discuss how AI will move from creating digital content to simulating, mapping, and eventually acting in real-world environments.

### 8:40 AM–8:58 AM · From Renting AI to Owning Intelligence: The Case for Purpose-Built AI
Keynote · Keynote · Hall A - Keynotes
Speakers: Kalyan Kumar (KK) (HCLTech); Kaushik Shirhatti (Nvidia); Harry McCracken (Fast Company)
Page: https://ai4.com/sessions/from-renting-ai-to-owning-intelligence-the-case-for-purpose-built-ai/

For many enterprises, the first phase of AI was about access, and experimenting with powerful general-purpose models. The next phase is about ownership: building AI capabilities that are tailored to the business, grounded in enterprise data and deployed with the right levels of control, compliance and performance. This session explores how organizations can evolve from renting AI to owning intelligence by AI programs that connect infrastructure, platforms, models and use cases into a production-ready system for growth.What the audience will take away:- Why enterprises are shifting from generic AI consumption to owned, purpose-built intelligence.- How ownership of AI can improve control, economics, compliance and long-term competitive advantage.- - Why sovereign AI is moving from niche requirement to board-level priority.- How control over infrastructure, data and models affects risk and value creation.- What it takes to deploy outcome-based AI implementations- Success stories

### 8:59 AM–9:17 AM · Intelligence, Cost and Control: Infrastructure for Agentic AI
Keynote · Keynote · Hall A - Keynotes
Speakers: Jeetu Patel (Cisco); Matt Egan (CNN)
Page: https://ai4.com/sessions/intelligence-cost-and-control-infrastructure-for-agentic-ai/

As AI moves from chatbots to autonomous agents, inferencing becomes more sustained, specialized, and distributed across clouds, data centers, workplaces, and devices. Every agentic action is a routing decision, a trust decision, and a telemetry event. This discussion will explore how organizations can scale AI infrastructure while balancing the intelligence, cost, and control requirements of each model and workload, and how new approaches to networking, security, and operations can help match the right model to the right workload.

### 9:18 AM–9:36 AM · The Waymo Journey: From Moonshot to Global Deployment
Keynote · Keynote · Hall A - Keynotes
Speakers: Dmitri Dolgov (Waymo); Sebastian Thrun (Waymo, Udacity); Tim O'Reilly (O'Reilly Media)
Page: https://ai4.com/sessions/the-waymo-journey-from-moonshot-to-global-deployment/

In 2009, a small team set out to prove that cars could drive themselves. Today, that "moonshot" is a commercial reality. Join Waymo co-CEO Dmitri Dolgov and the industry veteran Sebastian Thrun—two of the program’s original founders—for a rare conversation on the evolution of autonomous driving. This session, moderated by Tim O'Reilly, will explore the audacious vision that started it all and the strategic pivots required to turn a lab experiment into a global service. While Thrun has since moved on to new frontiers, Dolgov has remained at the helm for over 15 years, guiding Waymo’s current trajectory as the world leader in autonomous mobility. Gain a dual perspective on the breakthroughs of the past and Waymo’s current expansion.

### 9:37 AM–9:55 AM · From Probabilistic to Provable: Deploying AI Agents You Can Trust presented by Erin Kraemer, AWS
Keynote · Keynote · Hall A - Keynotes
Speakers: Erin Kraemer (AWS)
Page: https://ai4.com/sessions/from-probabilistic-to-provable-deploying-ai-agents-you-can-trust-presented-by-er/

As AI agents gain autonomy, governance becomes the central challenge: how do you give agents enough freedom to be useful while ensuring they stay within the right boundaries? Too much constraint defeats the purpose; too little creates unacceptable risk. Most approaches address governance, safety, and security as separate disciplines. They aren't. They require one enforcement layer that can observe every action, enforce constraints deterministically, and intervene when something goes wrong. This talk covers what it takes to govern autonomous agents at production scale and how neurosymbolic AI raises the bar, pairing the creative power of LLMs with the rigor of mathematical logic to deliver provable guarantees about agent behavior. The result: organizations can confidently move faster because correctness is proven, not assumed

### 10:15 AM–10:35 AM · AI in Power Systems: From Insight to Deployment
Solo Talk · Infrastructure: Cloud Data Centers & Compute · Lando Ballroom 4203
Speakers: Rémi Raphael (Electric Power Research Institute (EPRI))
Page: https://ai4.com/sessions/ai-in-power-systems-from-insight-to-deployment/

This presentation explores the dual transformation shaping the future of the energy sector: the growing demand for reliable, scalable power to support the rapid expansion of AI, and the opportunity to apply AI to modernize, optimize, and secure power systems. It highlights how energy infrastructure is becoming a critical enabler of digital innovation, while at the same time AI is unlocking new capabilities across grid operations, asset management, planning, and resilience. The purpose of the presentation is to frame this interdependence as a strategic imperative, encouraging leaders to think holistically about how to invest in infrastructure, data, and talent to both meet emerging energy demands and harness AI as a force multiplier for operational performance and long-term system transformation.

### 10:15 AM–10:35 AM · Behavioral Defense for the AI-Era Attack Chain
Solo Talk · Cybersecurity · Marcello Ballroom 4403
Speakers: Ryan Schwartz (Abnormal AI)
Page: https://ai4.com/sessions/behavioral-defense-for-the-ai-era-attack-chain/

AI has given attackers the speed, scale, and sophistication to move through an enterprise before defenders even know they're in. At the same time, the rapid adoption of AI agents, OAuth-connected integrations, and cross-platform automation has created attack surface that most security stacks weren't built to monitor.This session traces the evolution of email-borne threats and identity-based attacks—from bulk phishing and stolen credentials to AI-generated social engineering, compromised identity providers, and multi-stage intrusions that pivot across SaaS applications and non-human identities. We'll make the case that the only durable defense is behavioral: modeling what normal looks like for every human and non-human identity, then surfacing the deviations that signal compromise. Attendees will leave with a practical framework for reasoning about AI-era risk and what it actually takes to defend against threats that move at machine speed.

### 10:15 AM–10:35 AM · Buy the Hands, Own the Conscience: Governing AI Agents That Ship Enterprise Software
Solo Talk · Software Engineering · Palazzo Ballroom L
Speakers: Vishak Mallya (Synthetix Labs)
Page: https://ai4.com/sessions/buy-the-hands-own-the-conscience-governing-ai-agents-that-ship-enterprise-softwa/

What happens when AI agents can write enterprise software faster than your team can trust it? That gap between speed and accountability is exactly where most coding-agent demos collapse on contact with regulated, mission-critical systems. In this talk, I'll show how to move past the copilot demo to governed, full-lifecycle agentic delivery — building, migrating, modernizing, and supporting real production code. Using real engagements that modernized decades-old systems across financial services, healthcare, and insurance, I'll walk through a deterministic-first architecture where intelligent agents do the engineering while automated verification and human oversight keep every change accountable and traceable. You'll leave with a practical framework for what to automate, what to verify, and how to prove correctness — plus an honest look at where agents excel and where they fail. If you're working to get agent-built software into production you can actually trust, this is your blueprint.

### 10:15 AM–11:00 AM · Exploring Fine-Tuning and Customization Strategy Through Effective Use Cases
Panel Session · Generative AI: Applications & Use Cases · Venetian Ballroom E
Speakers: Edmund Clark (The California State University); James Belasco (Vanguard); Shruti Kamath (Mozilla); Karan Kothari (Lightning AI)
Page: https://ai4.com/sessions/exploring-fine-tuning-and-customization-strategy-through-effective-use-cases/

Generative AI is powerful out of the box, but its true enterprise value comes from tailoring models to specific organizational needs. This panel will explore the spectrum of customization strategies, from lightweight prompt engineering and retrieval-augmented generation (RAG) to full-scale fine-tuning and domain adaptation. Panelists will share real-world use cases where companies have successfully aligned frontier models with industry-specific data, compliance requirements, and customer contexts. The discussion will also cover emerging tools, platforms, and vendor approaches that make customization accessible while managing cost and complexity. Attendees will walk away with a clear understanding of how to choose the right customization path for their projects and maximize ROI from generative AI.

### 10:15 AM–10:55 AM · From Hype to Hypotheses: Why AI-for-Science Is Hard—and What It Takes to Make It Work
Solo Talk · AI Research Summit (technical) · Venetian Ballroom A
Speakers: Tegan Emerson (Pacific Northwest National Laboratory)
Page: https://ai4.com/sessions/from-hype-to-hypotheses-why-ai-for-science-is-hard-and-what-it-takes-to-make-it/

Will AI actually accelerate discovery—or are we still stuck at the “hype” stage? AI-for-Science matters because scientific environments impose real-world constraints and “TRADE”-offs across testing, resources, assurance, data, and expressivity that can prevent promising models from working reliably in practice. There is also a scientific readiness gap: without tools to assess and close it through performance testing, integration, and continuous monitoring, autonomous AI-enabled discovery remains out of reach. Attendees will learn how to think in terms of TRADE constraints and how to evaluate and stress-test AI systems for robustness, safety, data quality, and operational fit. They’ll also leave with a clearer view of what new research and end-to-end “AI technology stack” optimization are needed to make autonomous scientific discovery feasible. Attend to move from hype to hypothesis—and learn what it practically takes to partner AI with science to achieve real scientific objectives.

### 10:15 AM–11:00 AM · Guardrails, Observability, and Trust in AI Infrastructure
Panel Session · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Emily McReynolds (Future of Privacy Forum); Fanny Sie (Roche); Allen Badeau (DigitalNet.ai); Mrinal Anand (Sofi); Chad Wise (F5)
Page: https://ai4.com/sessions/guardrails-observability-and-trust-in-ai-infrastructure/

Building reliable AI isn’t just about raw performance, but rather about making systems transparent, controllable, and trustworthy at scale. This panel will explore how enterprises are embedding guardrails, policy enforcement, observability, and monitoring directly into their AI infrastructure. Panelists will cover tools for real-time monitoring of model behavior, drift detection, explainability dashboards, and governance frameworks that translate into business confidence. Expect candid discussion of how to balance agility with control and how to innovate quickly without creating black boxes or unmanageable risk. Attendees will leave with an understanding of the cutting-edge observability stacks, monitoring platforms, and governance strategies that keep enterprise AI safe, compliant, and high-performing.

### 10:15 AM–11:00 AM · Guardrails, Risk Management, and Observability for Agentic AI
Panel Session · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Sohaib Shaikh (Virtue AI); Jill Hosmer-Jolley (California State University Monterey Bay); Nell Meshcheryakov (Dominion Energy); Sagi Rodin (Agen.co); Monisha Somji (Enterprise AI & Digital Transformation)
Page: https://ai4.com/sessions/guardrails-risk-management-and-observability-for-agentic-ai/

As enterprises scale agentic AI, the challenge becomes ensuring agents remain reliable, predictable, and effective under real-world conditions. This panel will focus on guardrails, risk management frameworks, and observability practices that keep autonomous agents on track. Panelists will discuss how to monitor and interpret agent decisions, set escalation triggers, and design systems that remain transparent and explainable for business leaders. Learn how forward-looking organizations are balancing agility with reliability to keep agentic AI both safe and high-performing at scale.

### 10:15 AM–10:35 AM · How Artificial Intelligence Can Help Eliminate Discrimination in Financial Services
Fireside Chat · CX & Customer Service · Palazzo Ballroom E
Speakers: Tor Constantino (Forbes); Pavan Agarwal (CEO of Celligence and Sun West Mortgage)
Page: https://ai4.com/sessions/how-artificial-intelligence-can-help-eliminate-discrimination-in-financial-servi/

How Artificial Intelligence Can Help Eliminate Discrimination in Financial ServicesCan artificial intelligence make financial decisions fairer, or will it simply reinforce the biases already embedded in the system? Drawing on Pavan Agarwal’s experience, as president and CEO of Sun West Mortgage Company and founder and CEO of Celligence International, this fireside chat will examine how technology can reduce human inconsistency, expand access and improve the transparency of consequential decisions. The discussion will illustrate how explainable AI, auditable decision-making and meaningful human oversight can help institutions identify and mitigate bias without sacrificing speed or accuracy. Attendees will learn what responsible AI deployment looks like in practice, including the safeguards needed to prevent historical inequities from being replicated at scale. Join us for a candid conversation about how financial institutions can use AI not only to operate more efficiently, but also to serve customers more fairly.

### 10:15 AM–11:05 AM · Leveraging AI in complex loan application processes - a focus on Commercial Real Estate [RSVP REQUIRED]
Roundtable · Roundtable · Room 301
Speakers: Jonas Ng (Valley Bank / entrepreneur / (formerly) KeyBank)
Page: https://ai4.com/sessions/leveraging-ai-in-complex-loan-application-processes-a-focus-on-commercial-real-e/

AI is transforming the way that banks service their customers - in lending, financing, investment banking, raising capital, etc. Historically, banks have had to rely on complex processing systems to process large volumes of bespoke documentation to meet customer needs.In this roundtable, we will discuss how financial institutions are leveraging AI in complex lending applications for Commercial Real Estate. We'll hear how AI and AI agents can be used for intelligent document processing, workflow management, and synthesis of bespoke contracts. You'll also hear how the latest advances in AI can also help create complex loan artifacts such as Credit Memos and Credit Approval Documents. We'll also discuss how financial institutions can best lay the structural foundation - in data, governance, model risk management, etc. - to implement such solutions. Join us to hear about practical examples and relevant case studies!This event requires an RSVP; to attend, submit form here

### 10:15 AM–11:00 AM · Making AI Alignment A Reality
Panel Session · AI Safety & Alignment · Marcello Ballroom 4404
Speakers: David Scott Krueger (Evitable | University of Montreal, Mila); John Buyers (CMS LLP); Jon Kutasov (Anthropic); Rick Balzano (TaskUs Holdings Inc.); Spencer Whitman (Gray Swan)
Page: https://ai4.com/sessions/making-ai-alignment-a-reality/

This panel brings together leaders in AI safety from industry and academia to examine how alignment theory is translating into real-world safeguards. How are companies operationalizing red-teaming, interpretability, and safe RLHF across product lines? What does meaningful “alignment” look like for frontier models and autonomous agents? Hear from practitioners embedding guardrails into high-impact systems and gain insights on how to responsibly scale AI while avoiding unintended harm. Walk away with a pragmatic view of safety—not just as a research ideal, but as a critical component of deployment strategy.

### 10:15 AM–11:05 AM · Minimal Data, Maximum Output: Scaling AI and Quantum Technologies for Industry 5.0 [RSVP REQUIRED]
Roundtable · Roundtable · Room 303
Speakers: Satyam Priyadarshy (Reignite Future, LLC)
Page: https://ai4.com/sessions/minimal-data-maximum-output-scaling-ai-and-quantum-technologies-for-industry-5-0/

This event requires an RSVP; to attend, submit form hereHow can industries achieve exponential operational efficiency without drowning in massive datasets and unsustainable compute costs?As we transition into Industry 5.0, the convergence of AI, Generative AI, Agentic AI, and quantum technologies offers a transformative force for enterprises. Adopting a "Minimal Data, Maximum Output" philosophy empowers organizations to reduce compute overhead, build highly resilient, autonomous systems, and prepare for future exponential technologies like Quantum. We will discuss how to prepare for the AI ecosystem and Quantum Readiness. You will learn how to deploy and implement scalable AI ecosystem frameworks to maximize value and prepare for the future of the quantum ecosystem. Join this roundtable to collaborate with industry peers and architect exponential digital infrastructure that turns your most complex bottlenecks into a strategic advantage and helps you avoid becoming a statistic in AI failure.

### 10:15 AM–11:05 AM · Optimizing Small Language Models for Low-Power Devices [RSVP REQUIRED]
Roundtable · Roundtable (technical) · Room 302
Speakers: Priyambada Jain (BlackRock)
Page: https://ai4.com/sessions/optimizing-small-language-models-for-low-power-devices-rsvp-required/

This event requires an RSVP; to attend, submit form hereHow can we make small language models efficient enough for low-power devices without sacrificing reliability and task performance? This roundtable will explore why optimizing SLMs requires more than simply choosing a smaller model it requires careful trade-offs across model architecture, compression techniques, hardware constraints, and deployment pipelines. The discussion will cover techniques such as advanced quantization, pruning, sparsity, distillation, and hardware-specific compilation, with an emphasis on what actually translates into latency, memory, and energy-efficiency gains in real-world settings. Participants will discuss how to evaluate quality degradation after optimization, when local inference is appropriate, and how hardware-aware design can improve production readiness. Join this interactive session to share practical lessons and learn how teams are making SLMs faster, lighter, and more deployable in constrained environments.

### 10:15 AM–10:35 AM · Orchestrate, Don’t Automate: How CIO's Build AI Systems That Scale, Decide, and Execute
Solo Talk · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Tyler Howard (RSM US LLP)
Page: https://ai4.com/sessions/orchestrate-don-t-automate-how-cio-s-build-ai-systems-that-scale-decide-and-exec/

Most organizations are automating tasks. The leaders are orchestrating intelligence.In this session, I will share how we designed and delivered a production grade AI orchestration platform that moves beyond single model point solutions to a fully integrated, multi-AI architecture. One that unifies data, reasons across context, inserts human judgment where required, and executes decisions reliably across real enterprise workflows.While customer engagement is a powerful example, the architecture and lessons are broader. This is a practitioner level look at what separates proof of concept from production including how to design data foundations for orchestration, not experimentation, where automation breaks down and human oversight must remain and the architectural patterns that allow AI systems to scale across functions — from customer engagement to operations, finance, and IT.This session is not about a single tool or industry. It’s a blueprint CIOs and CTOs can apply as AI moves from curiosity to core enterprise capability.

### 10:15 AM–11:00 AM · Orchestrating AI Agents: How to Unlock Enterprise-Ready Use Cases
Panel Session · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Rohit Nichani (Emergence AI); Manthan Shah (WestBridge Capital); Michelle Bonat (Golden Pear Funding); Paul Farnsworth (Dice); Joel Hron (Thomson Reuters)
Page: https://ai4.com/sessions/orchestrating-ai-agents-how-to-unlock-enterprise-ready-use-cases/

Deploying a single AI model is one thing, but coordinating agents to deliver business value at scale is another. This panel brings together practitioners and platform builders to discuss how orchestration layers enable AI models to work together effectively, integrate with enterprise systems, and stay aligned with business goals. Through real-world use cases, panelists will unpack what makes an orchestration layer successful: modular design, dynamic context sharing, robust guardrails, and seamless integration into existing IT workflows. Attendees will walk away with a clear understanding of how orchestration translates pilots into scalable, enterprise-grade AI agent deployments.

### 10:15 AM–11:00 AM · Orchestration Layers and Software for Agentic AI Infrastructure
Panel Session · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: George Miranda (InsightFinder AI); Bradley Criqui (CBRE Investment Management); Nitay Joffe (Team8 VC); Henna Davar (American Airlines); Vira Tkachenko (MacPaw)
Page: https://ai4.com/sessions/orchestration-layers-and-software-for-agentic-ai-infrastructure/

Agentic AI won’t scale in the enterprise without a robust orchestration layer, the connective tissue that manages tasks, memory, tool usage, and multi-agent coordination. This panel will take a closer look at how orchestration software is evolving, from lightweight frameworks to enterprise-grade platforms that resemble an operating system for agents. Panelists will discuss how to evaluate orchestration tools, what features matter most (state management, guardrails, tool adapters, observability), and how to integrate these systems with existing enterprise tech stacks. The conversation will also cover emerging standards, vendor approaches, and trade-offs between building in-house vs. adopting commercial platforms. Attendees will walk away with a grounded understanding of what an effective orchestration layer should do and how to choose the right path for their organization.

### 10:15 AM–10:55 AM · RAG is a Flashlight. Your AI Agent Needs a Map. -> Graph Theory as an AI Agent's Superpower
Solo Talk · AI Agents (technical) · Titian Ballroom 2306
Speakers: Keith Soura (Arch)
Page: https://ai4.com/sessions/rag-is-a-flashlight-your-ai-agent-needs-a-map-graph-theory-as-an-ai-agent-s-supe/

The default answer in enterprise AI is RAG: chunk it, embed it, retrieve it. But you can have all the information in the world and still be lost. An encyclopedia contains every fact about every city on Earth — it can't get you from New York to Los Angeles. For that you need a map: an origin, a destination, and the ability to chart a course through the territory between them. When your domain is a web of interconnected workflows, entities, and dependencies, embedding similarity is the encyclopedia. Graph theory is the map.This talk shows what happens when you hand an AI agent the map, drawn from production systems at two companies in two very different corners of finance.At Better Mortgage, home lending is byzantine: the Fannie Mae Selling Guide alone is 1,200+ pages, before layering on Freddie Mac, FHA, VA, USDA, and state regulation. Better's platform encodes it all as a living dependency graph — tens of thousands of constantly-changing facts steering nearly 1,900 automated workflow activities through more than 25,000 declared dependency references across a dozen business domains. A typical loan touches ~200 activities with five or more states each: a reachable state space a factor of 10^60 beyond the number of atoms in the universe. No human — and no vector database — can hold that in its head. But graph algorithms published decades ago — betweenness centrality, strongly connected components, community detection, dominator trees — become extraordinary when handed to an LLM as callable tools: an agent that pinpoints the load-bearing single points of failure in the credit pipeline, proves more than three-quarters of the dependency structure architecturally redundant, detects organizational misalignment straight from topology, and diagnoses a stuck loan across six live data sources in seconds, for pennies.At Arch, the domain is alternative investments — capital calls, distributions, K-1s, wire verification across hundreds of thousands of positions — and the same pattern holds: one canonical system of record, projected into an entity graph an agent can traverse. Different industry, same architecture, same results — including a 374-file dependency cycle found by the same algorithm that maps loan workflows.The deeper lesson: the graph is not just how the agent sees the system — it's the deterministic steering layer that lets probabilistic AI safely act in domains with no room for error. We'll cover the math, the pluggable provider architecture that federates graph analysis with production data into one reasoning loop, and where this goes next: from observability to production automation.If your domain has dependencies, workflows, or pipelines — it's a graph. Stop retrieving. Start traversing.

### 10:15 AM–11:00 AM · Simulating Reality: The Business Value of World Models
Panel Session · World Models · Lando Ballroom 4204
Speakers: Emil Protalinski (Techmeme and EPro Strategies); Sreekanth Annapureddy (Netradyne); Inhi Cho Suh (Niantic Spatial); Hardik Kabaria (Vinci)
Page: https://ai4.com/sessions/simulating-reality-the-business-value-of-world-models/

World models allow AI to do more than just generate text, they allow it to understand cause and effect in the physical world. This panel features industry leaders discussing how they are leveraging world models to create photorealistic video content, test autonomous systems, and optimize supply chains through advanced simulation. Learn how the ability to simulate reality is becoming a critical competitive advantage across industries.

### 10:15 AM–11:00 AM · Small Company, Smart Tools: How SMBs Are Winning with AI
Panel Session · AI For SMBs · Titian Ballroom 2304
Speakers: Manoj Mathew (LendingUSA); Brian Docili (Conectiv Supply Chain Solutions); Jennifer Conrad (Inc. Magazine); Nicholas Muy (Scrut Automation)
Page: https://ai4.com/sessions/small-company-smart-tools-how-smbs-are-winning-with-ai/

Join a group of nimble SMB operators and tech enablers as they share how small companies are using AI to punch above their weight. From virtual assistants and automated quoting to AI-driven marketing campaigns, we’ll dive into specific tools, costs, and outcomes. Panelists will share real lessons—not just hype—on what it takes to deploy AI in a lean business and still see measurable ROI. Perfect for any entrepreneur looking to work smarter, not harder.

### 10:15 AM–10:55 AM · Teaching Models to Imagine: Trustworthy Simulation for Sequential Data
Solo Talk · Synthetic Data & Data Generation (technical) · Veronese Ballroom 2504
Speakers: Abhimanyu Mukerji (Amazon)
Page: https://ai4.com/sessions/teaching-models-to-imagine-trustworthy-simulation-for-sequential-data/

When real-world sequential data is sparse, biased, delayed, or impossible to access, how do we train models to reason well instead of hallucinating patterns? This talk will explain how to generate synthetic and simulated sequential data in ways that are distribution-agnostic, robust, and trustworthy enough to support modern ML systems, including transformer-based models. The talk will show how simulation can be used not just for prediction, but also for recommendations, policy evaluation, and counterfactual reasoning in dynamic environments. Attendees will learn practical principles for designing simulators that preserve the right structure, stress-test models under shift, and avoid misleading conclusions. The session will be especially useful for practitioners who need better data-generation strategies when observational data is incomplete or operationally constrained, and want a more reliable path from limited real-world data to models that generalize, adapt, and support better decisions.

### 10:15 AM–11:00 AM · The AI Agent Playbook: A Strategic Roadmap for Implementation
Panel Session · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Marcus Spillane (Howard Hughes); Aaron Stanley (Promenade Advisory); Agam Upadhyay (Vertex Pharmaceuticals); Jeff Mills (Toptal); Jim Schiel (Artisan Agility)
Page: https://ai4.com/sessions/the-ai-agent-playbook-a-strategic-roadmap-for-implementation/

Successfully integrating AI agents requires a clear strategic roadmap. This panel provides a comprehensive guide to creating your organization's AI agent playbook. Experts will discuss essential elements of strategy formulation, from initial vision and goal-setting to practical execution steps. Learn how to anticipate and address challenges proactively, measure effectiveness continuously, and iteratively refine your approach to ensure sustained value and strategic alignment.

### 10:15 AM–10:35 AM · Walden Robotics: Putting General-Purpose Robots to Work
Solo Talk · Multimodal AI (technical) · Delfino Ballroom 4103
Speakers: Rares Ambrus (Walden Robotics); Benjamin Burchfiel (Placeholder)
Page: https://ai4.com/sessions/walden-robotics-putting-general-purpose-robots-to-work/

Physical AI is opening a path to robots that behave like versatile agents in the physical world rather than fixed, single-purpose automation. In this session we'll look at what it takes to carry a capable model from the lab onto a real factory floor, including the loop where field data, evaluations, and live deployments feed each next checkpoint, the role simulation plays in making that iteration fast, and how immersive shared autonomy lets robots take on real work from day one.

### 10:15 AM–10:35 AM · What's the ROI on Your AI? How to Get the Right Answer to This Wrong Question
Solo Talk · Oversight: AI ROI · Palazzo Ballroom D
Speakers: John Capriotti (EPAM Systems); Ira Livshits (EPAM Systems)
Page: https://ai4.com/sessions/what-s-the-roi-on-your-ai-how-to-get-the-right-answer-to-this-wrong-question/

You've asked it. Your board has asked it. Your CFO wants to know: "What's our ROI on AI?"The answer should drive confident decisions—but consistently fails. Not because AI doesn't work or you can't measure it, but because the question itself is fundamentally broken.In 20 minutes, we'll show you why and give you something better: a question you can actually answer and a method you can defend.

### 10:25 AM–10:35 AM · ON.AI - Faster Jobs. Same GPUs. More Revenue
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Lior Friedman (OptimalNets)
Page: https://ai4.com/sessions/on-ai-faster-jobs-same-gpus-more-revenue/

Faster job completion turns your committed GPUs and power into more billable capacity — and happier customers. On every multi-tenant, multi-job cluster, unrelated workloads share the same network. Standard infrastructure applies one generic setting to all of them, so every job underutilizes the GPUs and the committed power behind it, and runs slower than it can. I'll show benchmark data across inference, fine-tuning, and training workloads: 2–5x faster job completion once the network becomes job-aware. That speed costs nothing extra — no new hardware, no new software stack, no new power draw. Come by if you run GPU infrastructure, or if you're a customer who wants faster jobs and should be asking your provider for it.

### 10:30 AM–4:00 PM · Exhibit Hall Open
Exhibit Hall · Halls B&C
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDQwMDQwMA==

### 10:30 AM–4:00 PM · Experience Tesla at Ai4 2026
Exhibit Hall · Halls B&C
Page: https://ai4.com/sessions/experience-tesla-at-ai4-2026-mdy0na/

Meet the latest Tesla vehicle lineup and experience Full Self-Driving (Supervised) for yourself. Tesla Advisors will be available to answer any questions you have about our latest innovations and the Tesla ownership journey.Reserve you demo drive slot here or visit the Tesla booth to learn more.

### 10:40 AM–11:00 AM · AI as Infrastructure: Rewiring the Enterprise for Intelligent Operations
Fireside Chat · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Nancy Scola (—); Kristin Milchanowski (BMO)
Page: https://ai4.com/sessions/ai-as-infrastructure-rewiring-the-enterprise-for-intelligent-operations/

This is not about adopting AI — it is about redefining how organizations operate. Winners will be those who turn intelligence into durable economic value.• Execution, not experimentation, defines success• Intelligence is abundant; judgment and trust are scarce• Value comes from business outcomes, not technical capability• Winning organizations align technology, governance, workforce, and operating model

### 10:40 AM–11:00 AM · AI for Hardware Development
Solo Talk · Multimodal AI (technical) · Delfino Ballroom 4103
Speakers: Satvik Sabarad (Amazon Robotics)
Page: https://ai4.com/sessions/ai-for-hardware-development/

Hardware development across every industry — robotics, automotive, silicon, datacenters, and aerospace — remains constrained by multi-week supplier cycles required to obtain manufacturability feedback and cost estimates, and these cycles represent the single largest lever on program timelines. This talk examines what becomes possible when a multimodal AI agent is given direct access to a 3D CAD file — its feature tree, drawings, tolerances, and rendered views — and tasked with reasoning about how a part should be manufactured and what it should cost. I will present a working system built on Claude Code CLI, custom agents, and MCP servers that bridges directly into CAD, fusing symbolic geometric data with rendered visual context to reason about geometry, tolerances, and manufacturability in a manner comparable to a seasoned engineer. The talk will cover the underlying architecture, the evaluation framework used to benchmark model outputs against real engineering ground truth, and results from production programs in which multi-week feedback loops have been reduced to minutes. Attendees will leave with a clear technical view of how multimodal agents can operate on real engineering artifacts and a practical framework for applying these methods within their own hardware domain.

### 10:40 AM–11:30 AM · AI Oversight in Banking: Why Evaluation Frameworks Fail in Production [RSVP REQUIRED]
Roundtable · Roundtable · Room 305
Speakers: Sabrina Palme (Palqee)
Page: https://ai4.com/sessions/ai-oversight-in-banking-why-evaluation-frameworks-fail-in-production-rsvp-requir/

This event requires an RSVP; to attend, submit form hereTraditional AI assurance approaches-benchmarks, offline testing, over-reliance on human-in-the-loop (HITL), and generic LLM-as-a-judge-fail to capture how systems behave in regulated, real-world workflows. This session examines the gap between model validation and operational oversight, including how institutions handle policy adherence, edge cases, and decision ambiguity. Participants will share how they are designing evaluation layers that reflect real regulatory expectations and human decision standards.

### 10:40 AM–11:30 AM · Building Your AI Talent Pipeline: Cultivating Agentic & Generative Leaders from High School to Ph.D. [RSVP REQUIRED]
Roundtable · Roundtable · Room 310
Speakers: Rick Ginsberg (The University of Kansas); Maggie Mosher (University of Kansas)
Page: https://ai4.com/sessions/building-your-ai-talent-pipeline-cultivating-agentic-and-generative-leaders-from/

This event requires an RSVP; to attend, submit form hereWhat if instead of engaging in costly bidding wars for scarce AI talent, your organization could shape the next generation of generative leaders before they even graduate? As AI adoption accelerates across the public sector and retail industries, businesses spend millions retraining graduates who understand AI in theory but lack the practical, agentic leadership required to deploy it effectively. To bridge this gap, this session will explain how the Center for Reimagining Education (CRE) at the University of Kansas, backed by over $11 million in funded research, utilizes generative and agentic AI, extended reality (XR), and immersive learning to solve the talent shortage by co-designing AI skill pathways directly with employers. Driven by evidence-based practices for personalized instruction, we will illustrate a new, skills-first workforce model where your business helps determine the exact competencies needed on day one, translating them into stackable professional credentials that scale from high school to advanced Ph.D. research. This session will demonstrate how we use rigorous, university-vetted models like our ETHICS framework to ensure new hires are critical architects of AI systems, significantly reducing internal onboarding and training burdens. Join our interactive roundtable to gain actionable strategies for translating specific business needs into academic reality, and learn how regional education partnerships can build a continuous, future-proof workforce.

### 10:40 AM–11:30 AM · From Perception to Decision: Deploying AI Inside a Live Claims Workflow [RSVP REQUIRED]
Roundtable · Roundtable (technical) · Room 304
Speakers: Nicole Crozier (SilverRock); Kayla Graves (SilverRock)
Page: https://ai4.com/sessions/from-perception-to-decision-deploying-ai-inside-a-live-claims-workflow-rsvp-requ/

This event requires an RSVP; to attend, submit form hereEvery day, adjusters open tire and brake photos and make a call: approve or deny. At 300,000+ claims a year, the problem isn't whether any single adjuster gets it right. It's that a significant chunk of their day is spent on tasks that don't require their expertise: manually validating photo quality, chasing missing gauges, calling repair facilities to coordinate resubmissions. We built Screech to fix that. It's a two-phase AI system embedded directly into our warranty claims workflow at SilverRock. Phase one validates incoming photos. Is the gauge visible? Is the image usable? If not, it triggers the resubmission request automatically. Phase two takes the validated photos and runs them through an ML model that generates an approve or deny recommendation. Claims that meet defined happy-path criteria are auto-decisioned. Everything else goes to a human adjuster, recommendation in hand, who makes the final call. What surprised us wasn't the technology. It was the math. We're spending cents per claim to govern decisions worth thousands in severity, while freeing skilled adjusters to focus on work that actually requires them. At our volume, those shifts compound into a multi-million dollar annual impact. That's the case for embedding AI at scale: not dramatic transformation, but small, disciplined automations applied where the numbers are big enough to matter. We'll walk through how we built and validated the system, where we drew the line between autonomous decisions and human oversight, and what it took to get a model making real decisions inside a live production workflow. Then we'll open the floor, because the hard questions around trust, thresholds, and when AI earns the right to decide are worth discussing out loud.

### 10:40 AM–10:50 AM · Investigative AI: Building Agents That Show Their Work
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Dhrumil Joshi (Clustral AI)
Page: https://ai4.com/sessions/investigative-ai-building-agents-that-show-their-work/

RAG can answer a question. But can it defend that answer to a regulator? Most enterprise AI stalls in production because it retrieves — yet it can't reason across systems, take action, or be audited. In this talk I'll show how investigative AI agents go further: decomposing a problem, calling real tools across your data, verifying their own work, and producing an evidence trail an auditor would accept. You'll leave with a framework for AI that doesn't just respond — it investigates, and holds up when someone says "prove it."

### 10:40 AM–11:00 AM · Reliability Before Autonomy: Building an AI Reliability Control Plane for Multi-Cloud LLM and Agentic AI Systems
Solo Talk · Infrastructure: Cloud Data Centers & Compute · Lando Ballroom 4203
Speakers: Arun Pandiyan Perumal (Adobe)
Page: https://ai4.com/sessions/reliability-before-autonomy-building-an-ai-reliability-control-plane-for-multi-c/

Production AI systems can appear healthy at the infrastructure layer while model quality degrades, agents loop, tool failures cascade, latency fluctuates, and token costs surge. Across multiple clouds and model providers, probabilistic outputs, tool-use errors, cascading agent failures, variable latency, GPU scarcity, provider outages, cross-cloud dependencies, and escalating token costs can degrade an AI workflow even when every infrastructure component appears healthy. This session will focus on building an AI Reliability Control Plane for operating production LLM and Agentic AI systems in multi-cloud environments. The control plane presents a unified operational layer for service-level objectives, end-to-end observability, model and agent health monitoring, intelligent workload routing, automated failover, policy enforcement, security guardrails, cost governance, and human oversight. Attendees will learn to define reliability indicators and SLOs for models, agents, and complete workflows; detect and contain failures before they propagate; and implement policy-driven routing, fallback, and recovery across clouds and model providers.

### 10:40 AM–11:00 AM · Securing the AI Layer: When Your Agent Becomes the Threat!
Solo Talk · Cybersecurity · Marcello Ballroom 4403
Speakers: Arsh Arora (McKesson)
Page: https://ai4.com/sessions/securing-the-ai-layer-when-your-agent-becomes-the-threat/

As AI agents become integrated into SOC and Incident Response workflows, they introduce new attack surfaces that adversaries actively exploit. This session examines how AI‑powered security agents are compromised through plugin poisoning, SIEM integration manipulation, and model output corruption—converting defensive automation into attack infrastructure. It presents strategies for detecting compromised AI systems and outlines resilient architectural patterns that preserve operational integrity under active agent exploitation.

### 10:40 AM–11:00 AM · The AI Productivity Paradox: Phantom Value on the Ledger
Solo Talk · Software: Productivity & Collaboration · Palazzo Ballroom L
Speakers: Prashant Kumar (TechBlocks)
Page: https://ai4.com/sessions/the-ai-productivity-paradox-phantom-value-on-the-ledger/

Over the past two years, enterprises have invested billions of dollars in AI-powered developer tools, coding assistants, engineering intelligence platforms, and intelligent agents with the expectation of transforming software engineering. Yet many technology executives are asking an uncomfortable question:If every developer now has AI, why aren't organizations delivering better software outcomes: faster delivery, higher production quality, less rework, greater transparency, and measurable ROI?Developers may be completing individual tasks faster. Organizations are not yet consistently delivering better outcomes.The reality is that AI has accelerated portions of the software development lifecycle, but it has not fundamentally transformed software delivery. Organizations continue to layer AI onto traditional engineering processes rather than rethinking how work is planned, executed, governed, measured, and improved. The result is a growing ecosystem of disconnected AI coding tools, engineering intelligence platforms, and specialized agents operating in silos, creating fragmented workflows, inconsistent governance, limited visibility, and localized productivity gains that often fail to translate into sustainable business value.The problem isn't that AI can't write code. The problem is that enterprises still manage software delivery as if AI doesn't exist.The next competitive advantage will not come from deploying another coding assistant, engineering intelligence platform, or specialized agent. It will come from designing an AI-native operating model that orchestrates these capabilities into an intelligent software factory where humans and AI work together as a coordinated, measurable delivery system.This session explores how leading organizations are evolving from isolated AI tools to AI-native software factories integrating AI coding, engineering intelligence, agent orchestration, enterprise knowledge, governance, observability, and outcome-based measurement into a unified operating model.Attendees will leave with a practical blueprint for improving not only engineering velocity, but also software quality, production resilience, delivery transparency, governance, and measurable return on AI investment. More importantly, they will understand why the organizations that rethink their operating model, not merely expand their AI toolset- will define the next generation of software delivery.

### 10:40 AM–11:00 AM · The Trust Stack: How to Design an AI Agent That Earns Its Autonomy
Solo Talk · CX & Customer Service · Palazzo Ballroom E
Speakers: Kibeom Lee (delight.ai)
Page: https://ai4.com/sessions/the-trust-stack-how-to-design-an-ai-agent-that-earns-its-autonomy/

Everyone says their AI agent improves itself, and most of those claims fall apart the moment you ask how the agent knows it actually got better. In customer service, where one wrong answer can cost a brand its credibility, the hard engineering problem lives in the system you build around the model, because the model itself will always be fallible. This talk introduces the Trust Stack, a bottom-up way to design agents where autonomy is something the system earns one layer at a time. It shows why an agent has to be scoped, observable, and correctable before it has any business changing itself, and how each of those layers runs in production at Delight, including a self-improvement loop that only ships a change once it has proven safe. The talk is also honest about what is genuinely hard, what still needs a human in the loop, and where the industry hype runs ahead of what these systems can really do. Anyone building or evaluating AI agents will leave with a practical framework for deciding how much freedom to hand them.

### 10:40 AM–11:00 AM · There Is No ROI of AI: What Boards Really Ask Before They Fund It
Solo Talk · Oversight: AI ROI · Palazzo Ballroom D
Speakers: Leah Fricke (Various Companies (Australia))
Page: https://ai4.com/sessions/there-is-no-roi-of-ai-what-boards-really-ask-before-they-fund-it/

In my job, the only thing AI can't do is go to jail. Accountability, judgment, the human on the hook for the call: that's what boards are really weighing when they decide whether to fund AI, and it's one of the biggest reasons strong cases never get approved. Drawing on years spent on the boards where technology investments get approved, or quietly killed, I'll take you to the other side of the table and show you how directors actually decide, starting with a better question than "what's the ROI of AI?"I'll share a practical framework built around the four questions every board asks before it funds AI, and the forms of return, beyond productivity, that separate an investable case from a science project.Whether you build AI, sell it, or have to get it funded inside your own organisation, you'll leave knowing what the people who write the big cheques are really asking.

### 10:50 AM–11:00 AM · Turning a 20M-MAU Company into Agent-Native
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Kytu Lin (GNTC)
Page: https://ai4.com/sessions/turning-a-20m-mau-company-into-agent-native/

Everyone now has PhD-level AI — so why do most companies still work exactly the same way? I'm Kytu Lin, founder and CEO of Dcard, a 20-million-user social platform, and I think the reason is what I call the Agent Gap: the people who understand the problems best are rarely the ones allowed to build the fixes. To close it I became my own company's forward-deployed engineer — the result was 600+ internal agents built by HR, legal, finance, and sales, not just engineers. In this talk I'll walk through the three hardest problems we had to solve: making scattered company context usable by agents, governing what agents are allowed to do, and turning first wins into an adoption flywheel. If you're trying to move AI from impressive pilots to real, company-wide adoption, you'll leave with the playbook — and the story of how these lessons became the enterprise agent platform we now build for other companies.

### 11:05 AM–11:25 AM · Actions Speak Louder Than Prompts: Governing What AI Agents Actually Do
Solo Talk · Cybersecurity · Marcello Ballroom 4403
Speakers: Nathan Wallace (Turbot)
Page: https://ai4.com/sessions/actions-speak-louder-than-prompts-governing-what-ai-agents-actually-do/

Everyone is watching what goes into AI agents. Almost no one is watching what they actually do.The industry obsesses over the inbound boundary — prompt injection, guardrails, model alignment — while the real risk lands on the other side: the commands an agent runs, the data it moves, the credentials it reaches for, the systems it changes. An agent doesn't need to be jailbroken to cause damage; it just needs to be helpful in the wrong direction.Existing controls can't see this. Every tool in the security stack — secrets managers, DLP, identity, endpoint — watches a boundary: a vault checkout, a network egress, a login. Agents do their work, and their damage, in the space between those boundaries, where every action looks routine and the only identity in sight is a trusted human's. Prompts are too fuzzy to be controls; audit trails are precise but after the fact. Neither answers the question that matters: should this action happen, right now, in this context?This talk makes the case for a new layer: understanding each action an agent is about to take — what will run, what it will touch, and why — and evaluating it before it executes. I'll share real patterns of risky agent behavior from enterprise environments that are invisible to today's tooling.Whether you're enabling AI or governing it, you'll leave with a practical framework for the action layer — and the questions your current stack can't answer.

### 11:05 AM–11:25 AM · AI Adoption Solved. ROI Is Not.
Solo Talk · Oversight: AI ROI · Palazzo Ballroom D
Speakers: Chase Norton (Faros)
Page: https://ai4.com/sessions/ai-adoption-solved-roi-is-not/

AI adoption is no longer the hard part; proving what it changed is. Engineering teams are now running AI-native software factories where tokens, agents, prompts, pull requests, incidents, reviews, and rework all move through different systems, while finance is asked to approve bigger AI budgets with little evidence of return. In this talk, I will show how to evaluate AI investment through work evidence: which AI activity reached shipped software, which work created leverage, and which spend became rework, overhead, or waste. We will use patterns from Faros' 2026 AI Engineering Report, based on two years of data from 22,000 developers and 4,000+ teams, to explain why adoption and throughput are not the same as ROI. Attendees will leave with a practical framework for tying AI dollars to shipped work, setting ROI guardrails, and continuously monitoring whether AI is creating capital or compounding waste. If you are accountable for AI investment and need a sharper answer than "we bought more tools," this session is built for you.

### 11:05 AM–11:25 AM · Building an AI Factory to Escape Pilot Purgatory and Runaway AI Costs
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Bhaskar Roy (Workato)
Page: https://ai4.com/sessions/building-an-ai-factory-to-escape-pilot-purgatory-and-runaway-ai-costs/

Why is enterprise AI spend so high while ROI stays so low? Most companies are stuck in pilots, paying for AI projects that never reach production. The gap isn't better models, it's the absence of an Operating Model. We'll introduce the AI Factory: a repeatable system that turns agentic work into governed, scaled outcomes, with reach across every enterprise system. We’ll also share blueprints on how enterprises moved from experiments to production and realized ROI from their AI investments.

### 11:05 AM–11:25 AM · Confidently Wrong: Building Validation and Trust for Your AI Agents
Solo Talk · AI Agents (technical) · Titian Ballroom 2306
Speakers: Mudit Singh (TestMu AI)
Page: https://ai4.com/sessions/confidently-wrong-building-validation-and-trust-for-your-ai-agents/

Confidently wrong AI has a price tag and in 2026, it's a line item. Your AI agent will never tell you it's wrong. It doesn't know it's wrong. It ships code with total confidence, answers customers with total confidence and is exactly as confident when it's right as when it just invented a refund policy that doesn't exist, or reported success over a database it quietly broke.That's the trap of the agent era: confidence isn't correctness, and an agent can't grade its own work. So the failures don't look like failures. They look like green checkmarks and fluent answers — right up until a real user, or a regulator, finds the one that was wrong. It's already expensive: 99% of organizations deploying AI report financial losses from it, averaging $4.4 million each.The fix isn't a better model, it's an independent layer that verifies what the agent did before it reaches a customer, not after the damage is done. This talk shows what that looks like for both kinds of agents: the ones that build, and the ones that interact. You'll walk out able to tell an agent that sounds trustworthy from one you can actually trust, before your next deployment writes a check your business can't cash.

### 11:05 AM–11:25 AM · Failure-Driven Data Engines: Model Errors and Synthetic Generation
Solo Talk · Synthetic Data & Data Generation (technical) · Veronese Ballroom 2504
Speakers: Cole DeVingo (Toyota Research Institute)
Page: https://ai4.com/sessions/failure-driven-data-engines-model-errors-and-synthetic-generation/

Most teams improve their models by generating more data broadly and hoping it covers the failure regions. I will present a system that does the opposite — it observes exactly where a model fails, characterizes those failures into fine-grained slices, and generates training data targeted at specific failure conditions. The talk walks through a working implementation tested on two modalities: a text sentiment classifier and a PyTorch CNN on Fashion-MNIST, both trained to convergence with no preset stopping point. Attendees will see how targeted augmentation guided by failure analysis outperformed broad augmentation by 6x on the same model, why the granularity of your failure taxonomy matters more than the capacity of your generator, and how convergence speed itself diagnoses whether your bottleneck is data or architecture.

### 11:05 AM–11:25 AM · Fireside Chat with Anastasis Germanidis, Runway: Building Models That Understand and Simulate the World
Fireside Chat · World Models · Lando Ballroom 4204
Speakers: Anastasis Germanidis (Runway); Jared Perlo (NBC News)
Page: https://ai4.com/sessions/fireside-chat-with-anastasis-germanidis-runway-building-models-that-understand-a/

AI video models are evolving into systems that can understand, represent and simulate the physical world. Runway's GWM-1 brings real-time understanding of physics, geometry and human behavior — already powering the largest world model deployment in production through Runway Characters. As world models mature, they open new foundations for robotics, autonomy and scientific discovery. Join Anastasis Germanidis, co-CEO of Runway, in conversation with Jared Perlo of NBC, on what it takes to build general world models and where the technology is headed next.

### 11:05 AM–11:25 AM · Friends Don’t Let AI Code in the Dark: Fixing the Token Burning Chaos of Agentic UI
Solo Talk · Software Engineering · Palazzo Ballroom L
Speakers: Dylan Barrell (Deque Systems)
Page: https://ai4.com/sessions/friends-don-t-let-ai-code-in-the-dark-fixing-the-token-burning-chaos-of-agentic/

When AI coding agents generate UI on the fly, they introduce highly dynamic, unpredictable accessibility bugs—from broken keyboard traps to unreadable, low-contrast color palettes. If your testing pipeline relies solely on traditional static linter rules, you are only finding half the issues and just throwing an AI at the problem is a token burning time bomb.You need to combine the best of the AI agent with good context creation and deterministic tools to achieve what you need to with a reasonable cost.It’s time to upgrade your UI stack.This technical talk introduces an advanced testing pattern built for the agentic era. We’ll show you how to stop wasting tokens on expensive, endless quality loops and instead deploy cost-effective skills, tools and AI. By orchestrating Playwright and targeted LLM vision calls to dynamically audit live rendered applications rather than guessing at static code, this architecture catches 30% more real-world accessibility issues than axe-core with a fraction of the cost and near-zero noise. Stop babysitting your agent's code and start automating its validation efficiently.

### 11:05 AM–11:25 AM · From Specialized Capabilities to Composable Intelligence: Architecting Scalable, Multimodal AI for Drug Development
Solo Talk · Multimodal AI (technical) · Delfino Ballroom 4103
Speakers: John Austin (Gilead)
Page: https://ai4.com/sessions/from-specialized-capabilities-to-composable-intelligence-architecting-scalable-m/

Multimodal AI systems often try to scale by adding ever more data sources, agents, and tools. But a larger bundle of components does not automatically produce more useful or reliable capability. The greater opportunity is compounding: each new specialized capability should not merely add its own value, but expand what existing capabilities can accomplish through safe combination. The architectural aim is not linear accumulation, but exponential growth in what the platform can do as those combinations multiply. This talk presents the thinking behind GMIND—Gilead’s Multimodal Insight Network for Drug Development—an agent-first platform designed to grow from individual, high-value use cases into an expanding system whose capabilities become more powerful together. Drawing on lessons from document generation, study simulation, and other drug-development workflows, it explores how GMIND balances deep specialization with cross-capability composition, agentic flexibility with prescriptive process, and rapid expansion with the reliability and control required in pharmaceutical R&D. Attendees will leave with practical principles for building multimodal AI platforms whose capabilities grow faster than their component count—not merely systems that accumulate more disconnected features.

### 11:05 AM–11:25 AM · From Stack to Symphony: Building Infrastructure That Performs as One System
Solo Talk · Infrastructure: Cloud Data Centers & Compute · Lando Ballroom 4203
Speakers: Alex Akesson (Crusoe)
Page: https://ai4.com/sessions/from-stack-to-symphony-building-infrastructure-that-performs-as-one-system/

At scale, one bad node can stall an entire training run. From Stack to Symphony takes you inside the journey every GPU node makes from rack to production: how we provision capacity, burn-in test every node, and prove cluster health by pre-training frontier models at scale. You'll leave with a clear framework and proven strategies for building infrastructure that performs as one system, with the reliability and predictability modern AI workloads demand.

### 11:05 AM–11:25 AM · How AI Agents Think: The Architecture Behind Collective Intelligence
Solo Talk · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Julu Panat (Outshift by Cisco)
Page: https://ai4.com/sessions/how-ai-agents-think-the-architecture-behind-collective-intelligence/

What does it take to build AI agents that can think, reason, and collaborate? This session breaks down the core architecture behind agent cognition—shared memory layers, semantic alignment, reasoning protocols, and the knowledge systems that make multi‑agent collaboration work. You’ll see how agents use dynamic, auditable knowledge systems to create persistent memory, reusable context, and trustworthy decisions. We’ll also cover how agents exchange meaning—not just data—to speed up collaboration and reduce rework. Whether you’re exploring or deploying multi‑agent systems, you’ll leave with clear patterns and practical guidance for designing true collective intelligence.

### 11:05 AM–11:25 AM · How Europe’s Air Traffic Network Is Modernizing Legacy Systems with AI
Fireside Chat · Generative AI: Applications & Use Cases · Venetian Ballroom E
Speakers: Razvan Margauan (EUROCONTROL); Nancy Scola (—); Andrei Manolache (DesignVerse)
Page: https://ai4.com/sessions/how-europe-s-air-traffic-network-is-modernizing-legacy-systems-with-ai/

How do you modernize mission-critical aviation infrastructure without disrupting live operations?EUROCONTROL — the organization coordinating air traffic operations across Europe — shares how it is transforming legacy air traffic systems using DesignVerse, creating a live context layer across architecture, design systems, and operational logic to safely modernize software directly in production.How to turn legacy systems into structured operational context by connecting architecture, design systems, and runtime logic into a unified transformation layer- Eliminate drift between design and production, with every change aligned to real operational constraints- Proven modernization in one of the world’s most regulated, safety-critical aviation environments

### 11:05 AM–11:25 AM · Know and Grow the ROI of AI: From Enterprise Transformation to Business Value
Solo Talk · Social Impact Of AI · Marcello Ballroom 4404
Speakers: Erik Brynjolfsson (Co-Founder at Workhelix)
Page: https://ai4.com/sessions/know-and-grow-the-roi-of-ai-from-enterprise-transformation-to-business-value/

AI is advancing rapidly, but the central question for enterprise leaders is no longer whether it works—it is how to convert capability into measurable business value. This talk will show why AI transformation requires more than model adoption, drawing on evidence from Canaries in the Coal Mine on how AI is already reshaping work and from the Stanford Enterprise AI Playbook’s lessons from 51 enterprise deployments. The talk will explain how to identify high-value opportunities at the task and process level, measure ROI with credible KPIs and causal inference, and move from scattered pilots to scaled productivity and revenue growth. It will also highlight why complementary investments—in skills, workflows, and organizational redesign—are essential to escaping the productivity J-curve. Attendees will leave with a practical framework for knowing where AI is creating value today and growing that value across the enterprise.

### 11:05 AM–11:25 AM · Presentation by Tray.ai: How Zuora Is Deploying Agentic AI Across Its Enterprise
Solo Talk · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Josh Noble (Tray.ai); Mark Gill (Zuora)
Page: https://ai4.com/sessions/presentation-by-tray-ai-how-zuora-is-deploying-agentic-ai-across-its-enterprise/

How do you get AI past the pilot and into daily use — without losing control of governance, risk, or cost? Join me, Mark Gill, Head of Infrastructure and Services at Zuora, on stage with Josh Noble, Field CTO, Tray.ai. I’ve delivered dozens of agents, integrations, and MCP services in production. I’ll share how my team is driving real AI adoption: what we govern, how we deploy, and where the results actually come from. I’ll take you through how to ensure governance and reduce risk as you scale, how to adopt MCP and ship agents that get used, and where to find the lowest-hanging fruit that drives business results. It’ll be a great conversation between Josh and me – join us for practical insights on taking AI into production.

### 11:05 AM–11:25 AM · Robust AI Security and Alignment: A Sisyphean Endeavor?
Solo Talk · AI Research Summit (technical) · Venetian Ballroom A
Speakers: Apostol Vassilev (National Institute of Standards and Technology (NIST))
Page: https://ai4.com/sessions/robust-ai-security-and-alignment-a-sisyphean-endeavor/

The industry is rapidly transitioning from static AI chatbots to Agentic AI. Unlike their predecessors, these agents do not merely offer advice; they execute actions via APIs across your core IT infrastructure to automate complex workflows. This shift fundamentally expands the attack surface and renders the traditional "cybersecurity perimeter" obsolete.At the heart of these agents lies the Large Language Model (LLM)—a component that remains stubbornly vulnerable. It is now a predictable cycle: a frontier model is released, hardened, and subsequently "jailbroken" within days. This is not a failure of engineering, but a reality of mathematics. Rigorous theory suggests that no finite set of guardrails is universally robust; there will always exist a prompt capable of evading a model’s defenses.If the core is inherently fragile, how do we secure the autonomous future?In this session, we move beyond the "cat-and-mouse" game of prompt injection to explore the Agentic AI Risk space. We will provide a concrete blueprint for:i) Identifying vulnerabilities unique to agentic tool-use and multi-step execution;ii) Measuring risk within autonomous feedback loops;iii) Architecting resilience for a threat landscape where traditional guardrails are no longer a single point of failure.Don’t manage risk in retrospect. Join us to build a security strategy that thrives in the 2026-and-beyond landscape.

### 11:05 AM–11:15 AM · The $17.7M Hiring Filter: What Enterprise AI Misses Without Outcome Data
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Saad Bin Shafiq (Nodes Inc.)
Page: https://ai4.com/sessions/the-17-7m-hiring-filter-what-enterprise-ai-misses-without-outcome-data/

Most enterprise AI can see the data behind a decision, but not the downstream outcome that reveals whether that decision actually worked. Without that feedback loop, AI risks scaling yesterday’s assumptions faster instead of helping the enterprise learn. I will show how connecting decisions, human judgment, actions, and business results across existing systems creates an outcome layer that makes AI more useful over time. Attendees will leave with a practical model for building human-approved, auditable workflows without replacing their existing stack or giving up control. If your AI roadmap is producing more copilots than measurable impact, this talk will show what is missing.

### 11:05 AM–11:25 AM · The Agentic ROI Blueprint for Enterprise CX:  Lessons Learned from 100+ Enterprise Deployments (so you don't have to)
Solo Talk · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Natalie Telson (Parloa)
Page: https://ai4.com/sessions/the-agentic-roi-blueprint-for-enterprise-cx-lessons-learned-from-100-enterprise/

Every AI session at this conference will talk about cost savings. This one won't. After hundreds of enterprise AI deployments, we've seen the same pattern: the biggest wins don't come from replacing people; they come from creating better customer experiences that grow loyalty and lifetime customer value. In this session we’ll expose the three critical mistakes that cause most AI pilots to fail: starting with the wrong use case, ignoring observability and context intelligence, and treating organizational design as an afterthought. We’ll go deep, by examining real enterprise deployments, to provide you with proven deployment blueprints and a custom roadmap to turn your stalled AI projects into measurable revenue by Monday. Key takeaways: (1) Identify high-impact CX use cases that generate quantifiable P&L results, (2) Deploy critical technical capabilities like observability and context intelligence to earn trust, (3) Design organizational structures that move AI from technology projects to business assets, and (4) Apply an actionable framework to shift from pilot to profitable revenue growth. This is your ticket: Real deployments. Real results. A real game plan.

### 11:05 AM–11:25 AM · The Enterprise Solutions Engine: When Your Business Builds Its Own AI
Solo Talk · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Matt Cashatt (Polyrific)
Page: https://ai4.com/sessions/the-enterprise-solutions-engine-when-your-business-builds-its-own-ai/

The next wave of enterprise AI will not be built by engineering alone. As agentic AI matures, business teams can increasingly build their own problem-solving applications, but most platforms force a choice between speed and control. This session introduces a new category, the Enterprise Solutions Engine, designed to resolve that tradeoff: a self-service environment where teams design and ship AI applications connected safely to corporate data, on infrastructure the enterprise governs. Matt Cashatt walks through how this reshapes the build-versus-buy calculus, why the traditional AI platform stack falls short, and what it takes to give business users real building power without sacrificing security, observability, or compliance. Executives will leave with a clear lens for evaluating platforms and a playbook for unlocking AI velocity across the organization.

### 11:05 AM–11:25 AM · The Unfair Advantage: Why a 2 Person Team Can Now Outmarket a 2,000 Person Brand
Solo Talk · AI For SMBs · Titian Ballroom 2304
Speakers: Praneet Dutta (usepomo.ai)
Page: https://ai4.com/sessions/the-unfair-advantage-why-a-2-person-team-can-now-outmarket-a-2-000-person-brand/

Google, Meta, and TikTok have spent a decade building AI that decides what your customers see, and until now that intelligence worked for the platforms, not for you. I spent years building AI at Google DeepMind, and now we're putting that class of agents directly in the hands of brands: an AI team that tracks competitors' ads, plans the month, produces the creative, and launches campaigns across Google, Meta, and TikTok, reporting back in revenue instead of impressions. Meanwhile, the 2,000-person brand is still routing that same work through approval chains and agency retainers. This talk shares unfiltered lessons from real small brands running this way today: where agents already outperform a department, where they fail, and the decisions you should never hand over. You'll leave knowing what to delegate on day one and why being small just became the advantage.

### 11:05 AM–11:25 AM · Why AI Agent Pilots Stall — and What Actually Fixes Them
Solo Talk · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Darin Patterson (Make)
Page: https://ai4.com/sessions/why-ai-agent-pilots-stall-and-what-actually-fixes-them/

Most AI agent projects don't fail because the AI isn't good enough. They stall between proof of concept and production.Drawing on lessons from thousands of companies building AI-powered workflows and AI agents, this session reviews three gaps that consistently prevent pilots from shipping: the agentic autonomy dial (balancing control and flexibility), governance (decisions on ownership, change control, and decision making authority), and measurement (defining the right success criteria for each AI use case).We'll frame how these gaps get addressed through real use cases from an enterprise SaaS company that cut finance ticket resolution from two days to five minutes, a major automotive retail service group that turned its #1 customer complaint into a top NPS driver, and a fast-growing CPG brand that scaled from $72M to $250M in revenue while returning 800 hours to employees through AI agents.Attendees will leave with a practical framework for diagnosing gaps that are blocking their own initiatives and what it takes to close them.

### 11:15 AM–11:25 AM · Zero Hallucination Stack: Architecture for AI You Can Trust, by PitCrew
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Sameer Goel (PitCrew Agents)
Page: https://ai4.com/sessions/zero-hallucination-stack-architecture-for-ai-you-can-trust-by-pitcrew/

Most enterprise AI stalls at the same wall - the model hallucinates, fabricates citations, and gets the math wrong. Better prompts won't solve this but better architecture will. We will walk through the multi-layer stack we built at PitCrew to deploy AI agents in regulated financial services, where an incorrect number has legal consequences. Specifically, combine Model's reasoning with formal verification of agentic work, firm-specific ground truth policies that constrain what the agent can do, and an evidence chain that traces every output to its source data. Attendees will leave with a concrete architecture pattern they can apply to any domain where AI accuracy isn't optional. Not theory but production systems running daily across thousands of accounts.

### 11:30 AM–11:50 AM · AI Trust on Borrowed Cryptography: A Post-Quantum Operating Model for Technology Executives
Solo Talk · Cybersecurity · Marcello Ballroom 4403
Speakers: Jake Hammock (City of Seattle)
Page: https://ai4.com/sessions/ai-trust-on-borrowed-cryptography-a-post-quantum-operating-model-for-technology/

Enterprise AI is being built on a trust layer already marked for replacement. Model signing, attestation, agent communication, machine identity, key management, API security, and software supply chain provenance all depend on cryptographic systems with a known expiration horizon. Adversaries are no longer harvesting blindly. They are selecting what to capture today for future decryption, using automation to prioritize high-value data, systems, and relationships. This session gives technology and security executives a practical operating model for post-quantum crypto-agility across AI governance, CBOM analysis, vendor evidence, identity architecture, and migration sequencing. Enterprise AI trust will only be as durable as the cryptographic foundation beneath it.

### 11:30 AM–11:50 AM · AI-Driven Platform Engineering with MCP
Solo Talk · AI Agents (technical) · Titian Ballroom 2306
Speakers: Nitish Mane (Philo)
Page: https://ai4.com/sessions/ai-driven-platform-engineering-with-mcp/

Platform Engineering teams are increasingly using AI to reduce operational toil, speed up incident response, and enable self-service infrastructure. This talk explores using AI as a natural-language interface to cloud-native systems through the Model Context Protocol (MCP). It shows how platform engineers apply AI to workflows like infrastructure authoring, debugging, monitoring, and alert analysis. The session demonstrates practical MCP integrations, including Terraform, Kubernetes, Grafana, AWS, Alertmanager, and GitLab MCP servers for tasks such as IaC generation, drift detection, resource inspection, and CI/CD decision-making. Finally, it introduces FastMCP, a framework for safely building custom MCP servers that expose internal tools to AI.

### 11:30 AM–11:50 AM · AI-Driven Software Development: Practical Lessons for Builder Teams
Solo Talk · Enterprise Unlocks: AI Coding Strategy · Palazzo Ballroom E
Speakers: Ian Moraes (Audible)
Page: https://ai4.com/sessions/ai-driven-software-development-practical-lessons-for-builder-teams/

What does it take to move an engineering team from AI experimentation to AI-native development? In this session, Ian Moraes, Head of Consumer Domains at Audible, will share practical lessons from leading his team's AI transformation across the software development lifecycle: from early experimentation with AI tools, to optimizing developer workflows, to reimagining how software gets built end-to-end. Attendees will leave with a framework for evaluating AI tooling maturity and actionable strategies for scaling AI adoption across their own builder teams.

### 11:30 AM–11:40 AM · Breaking AI Agents: What Offensive Security Revealed About the Future of Enterprise Defense
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Aaron Walls (ZioSec, Inc.)
Page: https://ai4.com/sessions/breaking-ai-agents-what-offensive-security-revealed-about-the-future-of-enterpri/

AI agents are moving from experimentation into enterprise production, but traditional security controls were never designed for systems that can reason, plan, and autonomously pursue objectives.At ZioSec, we took an offensive approach: we attacked AI agents to understand how they fail. Through real-world AI security testing, we discovered a new class of threat where models can bypass assumptions, abuse trusted access, and find unexpected paths to achieve their goals.This session walks through real AI agent attacks, what they reveal about the limitations of today's security stack, and why the future of defense requires a new primitive: a reasoning firewall capable of analyzing intent and stopping machine-speed attacks before they reach enterprise assets.Join us as we explore how offensive AI security is shaping the next generation of cybersecurity.

### 11:30 AM–11:50 AM · Deploying Datacenters in Space - Fireside Chat with Ezra Feilden, CTO of Starcloud
Fireside Chat · Infrastructure: Cloud Data Centers & Compute · Lando Ballroom 4203
Speakers: Ezra Feilden (Starcloud); Eoin Higgins (Morning Brew)
Page: https://ai4.com/sessions/deploying-datacenters-in-space-fireside-chat-with-ezra-feilden-cto-of-starcloud/

The next generation of hyperscale datacenters won't be built on land, but in orbit. In this fireside chat, Ezra Feilden makes the technical and economic case for deploying datacenter infrastructure in space, and why the shift may be closer than many think. Space offers a radically different set of tradeoffs in power, cooling, and scalability. Ezra will give a frank insight into the engineering challenges, launch considerations, and long-term vision behind orbital infrastructure. Join this session to understand how space-based datacenters will redefine the future of global compute.

### 11:30 AM–11:50 AM · Dignity by Design: AI and the Duty of Care
Solo Talk · AI Safety & Alignment · Marcello Ballroom 4404
Speakers: Nathan Walker (AI Ethics Lab, Rutgers University)
Page: https://ai4.com/sessions/dignity-by-design-ai-and-the-duty-of-care/

Dignity is a central legal premise in over 158 national constitutions and 52 multinational instruments. It is the central principle on which all other AI ethics rest. Commitments such as privacy, security, and safety all reflect historical and contemporary efforts to uphold the inherent worth and dignity of every person. Join Dr. Nathan C. Walker, founder of the AI Ethics Lab at Rutgers University, to explore how Dignity by Design practices can help us see AI ethics not as a regulatory compliance list, but as a way of thinking, a way of life.

### 11:30 AM–11:50 AM · From Documents to Discovery: How Ancestry’s Enterprise AI Drives Customer Value at Scale
Fireside Chat · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Sriram Thiagarajan (Ancestry); Gideon Lewis-Kraus (The New Yorker)
Page: https://ai4.com/sessions/from-documents-to-discovery-how-ancestry-s-enterprise-ai-drives-customer-value-a/

What if enterprise AI's greatest competitive advantage isn't speed or efficiency—but the ability to unlock meaning and deepen customer value? This fireside chat will explore how Ancestry transformed 71 billion historical records into living family stories using enterprise-scale AI, while maintaining a privacy-first architecture and responsible governance framework. Why this matters: as AI moves from experimental to mission-critical, enterprise leaders face a critical choice—optimize for productivity alone, or scale at the intersection of business and customer value. Attendees will learn how Ancestry architected a model-agnostic AI gateway that supports OpenAI, Llama, and custom models while maintaining governance standards; how the team built an engineering culture that moves fast without sacrificing responsible AI principles; and how to put the extensive discovery capabilities of AI into the hands of its customers. The session will conclude with a demonstration of AI Stories—Ancestry's breakthrough feature that shows exactly how this transformation works in practice.If you're a CIO, CAIO, or technology leader navigating the practical realities of embedding AI into core products, scaling responsibly, and balancing innovation with governance, this session offers concrete strategies and real-world proof points you can bring back to your organization.

### 11:30 AM–11:50 AM · From Quantum Picturalism to Quantum NLP: Interpretable, Scalable, and Exponential Advantage
Solo Talk · Quantum AI (technical) · Delfino Ballroom 4103
Speakers: Bob Coecke (Relational Intelligence)
Page: https://ai4.com/sessions/from-quantum-picturalism-to-quantum-nlp-interpretable-scalable-and-exponential-a/

Quantum and natural language share the same structure! Here's the story. Over some 20 years we have developed a diagrammatic quantum formalism, referred to as quantum picturalism [1, 2]. We showed that this formalism enabled secondary school students to perform exceptionally well on an Oxford University post-grad quantum exam [3]. This quest started when in 1935 John von Neumann denounced `his own’ Hilbert space based quantum formalism. Quantum picturalism on the other hand, is now widespread in quantum technology research.A remarkable fact is that in its pictorial form, composition of quantum systems shares the same structure as natural language. This resulted in the birth of Quantum NLP [4]. In more recent work, we demonstrated exponential advantage, interpretability, and scalability of Quantum NLP [5]. In fact, interpretability and scalability can also be achieved when adopting a quantum-inspired approach on classical hardware.The same formalism has also been used the generate the 1st piece of music with a quantum computer [5].MEDIA REFERENCES:[1] Bob Coecke and Aleks Kissinger (2017) Picturing Quantum Processes. Cambridge University Press.[2] Bob Coecke and Stefano Gogioso (2022) Quantum in Pictures. Quantinuum.[3] https://www.theguardian.com/science/2023/dec/16/physicist-bob-coecke-its-easier-to-convince-kids-than-adults-about-quantum-mechanics[4] https://www.forbes.com/sites/moorinsights/2021/10/13/cambridge-quantum-makes-quantum-natural-language-processing-a-reality/[5] https://thequantuminsider.com/2024/09/18/quantinuum-unveils-first-contribution-toward-responsible-ai-uniting-power-of-its-quantum-processors-with-experimental-work-on-integrating-classical-quantum-computing/[6] https://qspace.fqxi.org/articles/264/quanthovens-fifth

### 11:30 AM–11:50 AM · Hard-Fought Lessons from a Year of Scaling AI in an SMB
Solo Talk · AI For SMBs · Titian Ballroom 2304
Speakers: Eric Seiberling (MXD Process)
Page: https://ai4.com/sessions/hard-fought-lessons-from-a-year-of-scaling-ai-in-an-smb/

Last year, I showed how we started using AI at a small industrial company—with no IT team and no fluff. Since then, we’ve scaled those early wins in sales, marketing, support across the company and two acquisitions — without consultants or custom software. But it wasn’t easy. In this talk, I’ll share what we broke, what we fixed, and the messy, behind-the-scenes lessons we learned trying to make AI stick in a real business. You’ll walk away with a practical playbook for growing AI inside a small team—what to automate, where humans still matter, and how to budget for the things no one warns you about.

### 11:30 AM–12:20 PM · How Far Have We Moved from Don't Be Evil? [RSVP REQUIRED]
Roundtable · Roundtable · Room 301
Speakers: Mark Ritzmann (Columbia University)
Page: https://ai4.com/sessions/how-far-have-we-moved-from-don-t-be-evil-rsvp-required/

This event requires an RSVP; to attend, submit form hereFrom the late 90s to 2015, Google's motto was "don't be evil." In the age of AI, how far have we moved from this framing? Tech is a tool and a weapon. AI is an everything machine. This round table will take a clear-eyed view about impacts, agency, and concerns, large and small., covering the wonderful and the horrible.

### 11:30 AM–11:50 AM · Inside the AI Transformation at Cushman & Wakefield
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Collin Campbell (Cushman & Wakefield); Chris Slovak (Unframe)
Page: https://ai4.com/sessions/inside-the-ai-transformation-at-cushman-and-wakefield/

Everyone has an AI strategy. Far fewer have results. In this candid fireside chat, Cushman & Wakefield CIO Colin Campbell and Unframe Field CTO Chris Slovak get into the realities of enterprise AI adoption across three of the most debated topics in the industry right now: build vs. buy vs. build together, token maxing, and the future of SaaS. Drawing on their firsthand experience as partners, they'll challenge the conventional wisdom that enterprises must choose between building and buying, make the case that the real ROI conversation has shifted from token consumption to value extraction, and share why the SaaS categories that defined the last decade are quietly crumbling. This isn't a product pitch; it's an honest conversation from two practitioners who've lived it, and a standing invitation for the room to tell them where they're wrong.

### 11:30 AM–11:50 AM · Intelligent Model Routing: Frontier Performance Without Frontier Bills
Solo Talk · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Page: https://ai4.com/sessions/intelligent-model-routing-frontier-performance-without-frontier-bills/

Enterprises are burning through AI coding agent budgets in months. In this talk, Not Diamond CEO Tomás Hernando Kofman explains how intelligent model routing cuts coding agent costs by 20%+ while maintaining frontier quality, automatically identifying when a prompt needs a powerful model and when a cheaper one is sufficient. He'll cover how routing differs from gateways, why naive approaches backfire, and what model routing means for the future of AI.

### 11:30 AM–11:50 AM · Latency Is a Budget. Humanlike Is the Goal.
Solo Talk · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Jesse Hall (LiveKit)
Page: https://ai4.com/sessions/latency-is-a-budget-humanlike-is-the-goal/

With hundreds of models to choose from, how do you pick a stack that holds up in a live conversation? Most agents work in the background, but the moment one has to hear, see, and speak with a human in real time, everything about how you build and evaluate it changes. I'll show why public leaderboards fail for realtime agents, and why the latency on your dashboard isn't the latency your users feel. Then I'll define the outcomes you want as human-equivalent behaviors, and work backwards to your evals, your models, and a production iteration loop. You'll leave with a concrete decision framework and an open benchmark you can run on your own stack.

### 11:30 AM–12:10 PM · Olympic Gold Winning Expertise and Motivation Supported by Personalized AI by Olympic Athlete and Co-Creator of Siri
Solo Talk · Generative AI: Applications & Use Cases · Venetian Ballroom E
Speakers: Tom Gruber (Siri); Sky Christopherson (GOLD AI)
Page: https://ai4.com/sessions/olympic-gold-winning-expertise-and-motivation-supported-by-personalized-ai-by-ol/

Witness the world premier launch of GOLD — the app that turns medal-winning innovation into simple, real-time guidance for your health and fitness goals. Always by your side with AI and supported by real coaches. All ages. All levels.GOLD is an AI and human-powered health app that brings Olympic medal-winning innovation into everyday life. It uses AI personas modeled after real Olympians to deliver world-class expertise in a way that feels personal, motivating, and simple to follow—along with optional live coaching when you want human support. From meals and movement to sleep and recovery, GOLD turns proven methods into real-time guidance that helps anyone improve health, well-being, and quality of life, one day at a time.See the product on stage in conversation with Olympic athlete Sky Christopherson and AI expert Tom Gruber, co-creator of the first mainstream AI product that is used billions of times daily.

### 11:30 AM–11:50 AM · Physics-Based Reasoning and Imagination at Inference
Fireside Chat · World Models · Lando Ballroom 4204
Speakers: Sankaet Pathak (Foundation Robotics); Matt Egan (CNN)
Page: https://ai4.com/sessions/physics-based-reasoning-and-imagination-at-inference/

What if humanoid robots could imagine possible futures before acting—just like humans do? The talk will include a deep dive into why today’s dominant approaches, from imitation learning to model-free reinforcement learning, struggle to scale toward general-purpose embodied intelligence. It will illustrate a new hierarchical architecture in which a physics-grounded latent world model bridges high-level planning and low-level whole-body control, enabling true model-based reasoning directly on the robot at control frequency. The session will explain how this system learns physics and task rewards from human videos, performs rapid imaginative rollouts in latent space, and selects actions through internal forward simulation—without external simulators or rote trajectory memorization. Attendees will gain a clear understanding of how physics-based reasoning unlocks faster adaptation, stronger generalization, and dramatically reduced real-world data requirements. Join this talk to explore a fundamentally different path toward scalable, embodied AI.

### 11:30 AM–12:20 PM · Roundtable Discussion-Delivering Value with AI [RSVP REQUIRED]
Roundtable · Roundtable (technical) · Room 303
Speakers: Mark Kanner (UnitedHealthcare)
Page: https://ai4.com/sessions/roundtable-discussion-delivering-value-with-ai-rsvp-required/

This event requires an RSVP; to attend, submit form hereArtificial Intelligence is evolving fast, and expectations are evolving even faster. With the rise of Large Language Models (LLMs), organizations now have powerful new tools at their fingertips, but many in the industry still grapple with a critical question: where can AI truly deliver value today, and where would performance limitations prevent the achievement of business goals. This interactive discussion aims to leverage our collective expertise and have a candid discussion on what actually works. Perspectives and insights will benefit a broad group, for instance technical practitioners who need to provide guidance to leadership and are responsible for working through the details, also managers, directors and product managers tasked with managing expectations of leaders and business partners who may have very optimistic expectations of AI performance (or conversely be over cautions) and lastly leaders trying to allocate resources most effectively Participants will exchange real-world perspectives on how to apply current AI capabilities to drive meaningful impact within practical constraints like timelines, quality, and risk. Together, the group will identify the types of tasks where AI can move the needle right now, as well as areas where caution is warranted.Attendees will leave the session with peer-tested ideas, and realistic approaches for leveraging AI in their organizations over the next 6-8 months.

### 11:30 AM–11:50 AM · Scaling AI: The AI Value Playbook for the Enterprise
Solo Talk · Oversight: AI ROI · Palazzo Ballroom D
Speakers: Nithin Ramachandran (Cargill)
Page: https://ai4.com/sessions/scaling-ai-the-ai-value-playbook-for-the-enterprise/

Your AI token spend keeps climbing — but can you actually prove what it's buying you?Enterprises are caught in an impossible bind: pressured to deploy AI aggressively, yet held accountable for results they often can't quantify. Most organizations have already cycled through mass experimentation and then a retreat to "focused bets" — and neither approach has consistently delivered the value leadership expected.Attendees will learn a foundational framework for identifying the specific points where AI drives enterprise impact, moving beyond generic use-case lists to a structured way of evaluating where investment actually translates into outcomes. The talk then walks through how to construct an execution strategy paired with a rigorous measurement framework — so value is planned, tracked, and defended rather than hoped for. This is a battlefield-tested approach, refined through real enterprise deployment with tangible results behind it.Whether you're leading AI strategy, managing a budget that increasingly includes AI spend, or trying to bring discipline to a chaotic experimentation pipeline — this talk offers a practical path from AI activity to AI value, and a framework you can start applying the moment you leave the room.

### 11:30 AM–11:50 AM · Synthetic by Design: Privacy-First Data Engineering for Scalable, High-Fidelity AI Training
Solo Talk · Synthetic Data & Data Generation (technical) · Veronese Ballroom 2504
Speakers: Sanchit Srivastava (General Mills)
Page: https://ai4.com/sessions/synthetic-by-design-privacy-first-data-engineering-for-scalable-high-fidelity-ai/

What if the biggest bottleneck in your AI pipeline isn't your model — it's your data? As AI systems grow more ambitious, real-world data is increasingly scarce, sensitive, or simply too expensive to collect at scale. This talk will explore how synthetic data generation has evolved from a niche workaround into a production-grade engineering discipline — one that lets teams build high-fidelity training sets without compromising user privacy or regulatory compliance. We will walk through the core techniques, tradeoffs, and architectural patterns that separate synthetic data that works from synthetic data that misleads — covering everything from statistical fidelity and bias mitigation to privacy guarantees like differential privacy. Attendees will leave with a practical framework for deciding when and how to use synthetic data in their own pipelines, along with real-world lessons on scaling it responsibly. If you're building AI systems where data quality, privacy, or scale is a constraint — this talk is your blueprint.

### 11:30 AM–11:50 AM · The AI Credit Operating System: Why the Next Era of Underwriting Is One Platform, Not Ten Tools
Solo Talk · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Pranjal Daga (Accend)
Page: https://ai4.com/sessions/the-ai-credit-operating-system-why-the-next-era-of-underwriting-is-one-platform/

What happens when a credit team replaces ten disconnected tools with one agentic platform? We will explore that question through real production data from institutions processing hundreds of thousands of financial statement line items through AI from document intake and spreading to credit memos, business credit scoring and portfolio monitoring. In the past year, agentic AI has moved commercial underwriting from pilots to production, but a dangerous gap has opened between institutions running unified credit platforms and those stitching together point solutions that foundation model companies can disrupt overnight. We will discuss the before-and-after of AI-native underwriting: what actually changed in speed, accuracy, headcount leverage and risk visibility; and why a business credit score built on live financial data now outperforms anything a legacy bureau can offer. Attendees will leave with a practical framework for judging whether their credit stack will survive the next wave of AI disruption, and a roadmap any institution from regional bank to Fortune 500 — can follow to build an underwriting operation that compounds in accuracy with every deal. If your team is making credit decisions the same way it did eighteen months ago, this talk will cover exactly what your fastest competitors are doing differently.

### 11:30 AM–11:50 AM · The Enterprise AI Operating Model: An Executive Playbook for Agentic AI Transformation
Solo Talk · Software Engineering · Palazzo Ballroom L
Speakers: Madhavi Najana (Federal Home Loan Bank of Cincinnati)
Page: https://ai4.com/sessions/the-enterprise-ai-operating-model-an-executive-playbook-for-agentic-ai-transform/

The Enterprise AI Operating Model: An Executive Playbook for Agentic AI Transformation: AI is no longer just augmenting work, it is redefining how enterprises operate, compete, and create value through autonomous, agent-driven systems.Why It Matters:While many organizations have deployed generative AI and copilots, most struggle to scale beyond isolated pilots due to fragmented strategies, governance challenges, and the growing AI orchestration gap, as well as the disconnect between individual AI capabilities and enterprise-wide execution.Why Attend:Leave with an executive playbook for transforming AI from isolated initiatives into a strategic enterprise capability enabling trusted Agentic AI, optimizing AI investments, and creating sustainable competitive advantage through a modern Enterprise AI Operating Model.Key TakeawaysBuild the Enterprise AI Operating Model: Learn a practical executive framework for the Enterprise AI Operating Model (EAOM) and Agentic AI Operating Model (AAOM) to orchestrate intelligent AI agents across people, processes, data, and technology while aligning AI strategy with business outcomes.Close the AI Orchestration Gap: Assess AI maturity, establish AI Centers of Excellence, implement federated governance, and operationalize responsible AI to transform fragmented AI initiatives into scalable enterprise capabilities.Scale AI with Business Value: Explore AgentFinOps and executive best practices for optimizing AI investments, managing the variable cognitive cost of AI, strengthening governance, accelerating innovation, and delivering measurable business value with confidence.

### 11:30 AM–11:50 AM · Transforming Banking Inside and Out: How AI Drives Better Experiences and ROI
Solo Talk · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Prashant Mehrotra (U.S. Bank)
Page: https://ai4.com/sessions/transforming-banking-inside-and-out-how-ai-drives-better-experiences-and-roi/

If 2025 was a time of exploring how to use AI, in 2026 it’s time to examine AI’s return on investment. Prashant Mehrotra, Chief AI Officer at U.S. Bank, shares not only how AI is transforming the way people bank and how banks serve them – but also the scalable, repeatable processes that form the backbone of every successful business. He will address the challenges of, and best practices for, enabling the entire enterprise – actively upskilling the entire workforce to build and leverage the power of AI – as well as where agentic AI is taking us next.

### 11:30 AM–11:50 AM · Who Watches the Agents? Building Gen AI Evaluation Suites for Complex Architectures
Solo Talk · AI Research Summit (technical) · Venetian Ballroom A
Speakers: Jasleen Singh (Google)
Page: https://ai4.com/sessions/who-watches-the-agents-building-gen-ai-evaluation-suites-for-complex-architectur/

While the industry spent the last year racing to build autonomous multi-agent systems, a critical question remains: how do we actually trust them in production? As enterprise adoption scales, the bottleneck has definitively shifted from agent creation to rigorous evaluation. In this talk, I will explore the practical realities of testing complex architectures where traditional LLM benchmarks fall short. I will demonstrate how to design robust evaluation suites for dynamic reasoning and tool use, specifically focusing on safeguarding sensitive workflows like strict OAuth integrations and data retrievals. You will also learn practical techniques for utilizing tools like the Vertex AI Prompt Optimizer to continuously refine agent behavior. Join me to discover how to move your multi-agent workflows out of the prototype phase and into secure, measurable enterprise production.

### 11:40 AM–11:50 AM · Closing the "Reverse Information Paradox” with AI Trust Score™
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Rohit Valia (Tumeryk)
Page: https://ai4.com/sessions/closing-the-reverse-information-paradox-with-ai-trust-scoretm/

Satya Nadella calls it the Reverse Information Paradox: enterprises pay for AI twice, in dollars, and in the proprietary knowledge every prompt and agent workflow reveals to models they don't control. When learning flows one way, value accrues to whoever owns the model, not the knowledge. This live demo shows how runtime governance rebuilds the trust boundary: guardrails intercepting risky prompts and agent actions, risk scoring quantifying exposure, and sovereign AI keeping knowledge in-house.

### 11:55 AM–12:15 PM · 100 Superhumans Live: The Operating Model for Agentic AI at Full-Funnel Scale
Solo Talk · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Jonathan Kvarfordt (1mind)
Page: https://ai4.com/sessions/100-superhumans-live-the-operating-model-for-agentic-ai-at-full-funnel-scale/

Standing up one agent is easy. Running a coordinated workforce of them across your entire buyer journey, on guardrails, in production, is the part almost nobody has solved. This session takes GTM and AI leaders inside a real deployment: 100 Superhumans live across 70+ brands, working the website visit, the live call, the free trial, the support queue, and the renewal from one shared brain. You will see how the orchestration layer, the account-level GTM Context Graph, and human-in-the-loop guardrails hold up when Superhumans read, act, and write across CRM, product, and revenue systems at once. Then you will see the results that follow: one go-to-market data company hit 14x ROI in three months, Experity drove 3x more revenue per 100 inquiries, and Pipedrive doubled its trial conversions.What you will leave with:1) The operating model for scaling past a single use case, where one shared context graph makes every Superhuman smarter as you add the next.2) How to govern autonomous systems acting across CRM, product, and support, using guardrails, source citations, and human-in-the-loop patterns that survive production.3) What actually breaks at scale, including latency, cost, reliability, and drift, and the trade-offs teams make to keep every buyer experience instant.4) How the funnel scoreboard changes at scale, and the revenue, ACV, and cycle-time metrics to watch instead of meetings booked.

### 11:55 AM–12:15 PM · AI Companions: Helpful or Harmful? End of Social Skills or Motivating Sidekick? Strategic Ethical AI Choices
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Dor Skuler (Intuition Robotics)
Page: https://ai4.com/sessions/ai-companions-helpful-or-harmful-end-of-social-skills-or-motivating-sidekick-str/

AI companions are moving from novelty to daily presence. But are we building systems that strengthen human capability or quietly erode it?This talk will explore the strategic design decisions that shape AI native products long before regulation catches up. From how agents initiate interaction to how they influence behavior, ethical choices are embedded in architecture, incentives, and product strategy. We will share how we wrote and publicly committed to an AI Code of Ethics while building an AI companion, and why we believe developers must define clear principles in a world where policy often lags innovation.Attendees will leave with a practical framework for embedding ethics directly into AI agents from day one, not as compliance but as product design. If you are building systems that interact with humans at scale, the responsibility is already in your hands.

### 11:55 AM–12:15 PM · AI on Your Terms: Firefox, AI and Future of Trustworthy Browsing
Solo Talk · Software: Productivity & Collaboration · Palazzo Ballroom L
Speakers: Shruti Kamath (Mozilla)
Page: https://ai4.com/sessions/ai-on-your-terms-firefox-ai-and-future-of-trustworthy-browsing/

As AI becomes the primary way people discover information, make decisions, and get work done, the browser is uniquely positioned to be the trusted gateway between users, AI, and the open web.. How it's designed will shape whether AI advances user agency or concentrates power elsewhere.This session explores why Firefox is investing in AI and Mozilla's vision for building AI the way the web was built: open, accessible, transparent, and driven by user choice. Attendees will learn how Firefox is rethinking the browser with AI that works on your terms through open development, user controls, provider choice, trustworthy AI by design, and intelligent assistance that enhances how people navigate the web.Join this session to explore how AI-powered browsers can drive the next generation of user experiences while preserving trust, openness, and user agency.Join this session to discover how the next generation of AI-powered browsers can advance innovation while preserving trust, openness, and user choice.

### 11:55 AM–12:05 PM · Beyond the LLM: AI That Understands Before It Speaks.
Solo Talk Startup Stage · AI Startups & VCs · Venetian Ballroom G
Speakers: Yaya Ali (DrunR)
Page: https://ai4.com/sessions/beyond-the-llm-ai-that-understands-before-it-speaks/

Most AI applications follow the same pattern: collect data, send it to an LLM, and generate an answer. I believe that approach breaks down when decisions have real-world consequences, especially in healthcare. In this talk, I’ll share how building DrunR led us to a different architecture, one that transforms multimodal data into an explainable understanding of a person’s state before an LLM ever generates a recommendation. You’ll leave with a practical framework for building AI systems that are more trustworthy, more personalized, and designed to support better decisions, not just better conversations.

### 11:55 AM–12:45 PM · Beyond Vision Models: Designing Native Multimodal AI Systems [RSVP REQUIRED]
Roundtable · Roundtable (technical) · Room 304
Speakers: Amrith Coumaran (Privateer Space)
Page: https://ai4.com/sessions/beyond-vision-models-designing-native-multimodal-ai-systems-rsvp-required/

This event requires an RSVP; to attend, submit form hereAre we limiting AI's true potential by treating vision, audio, and language as completely separate pipelines? The industry is rapidly shifting away from simply bolting vision models onto text processors, moving instead toward natively integrated systems. This roundtable will serve as a collaborative space to explore this paradigm shift, using guided talking points to dive into the architectural differences, engineering hurdles, and practical use cases of native multimodality. The session will unpack how these unified systems are fundamentally changing the way we design artificial intelligence. Bring your insights to this interactive conversation about the future of Multimodal AI ecosystems.

### 11:55 AM–12:30 PM · Can Synthetic Data Replace Real Data?
Panel Session · Synthetic Data & Data Generation (technical) · Veronese Ballroom 2504
Speakers: Mikayel Khachatryan (Wirestock); Jonathan Shieber (Resilience Media); Aniket Tushar Ajagaonkar (Airbnb Inc); Prashanth Srinivasan (DoorDash); Karl Hanson (Tonic.ai)
Page: https://ai4.com/sessions/can-synthetic-data-replace-real-data/

This panel examines where and how synthetic data can outperform or augment real-world datasets. Panelists will share case studies from industries like finance, healthcare, and autonomous systems where synthetic generation has filled critical data gaps. Expect an honest discussion about performance tradeoffs, regulatory scrutiny, and what synthetic data pipelines actually look like in production.

### 11:55 AM–12:30 PM · Coding Automation Is Here: How Leaders Are Rethinking Software Strategy
Panel Session · Enterprise Unlocks: AI Coding Strategy · Palazzo Ballroom E
Speakers: Joe Olsen (Olsen Capital); Seth Siegler (eXp Realty); Kenny Vargas (Piper Sandler); Derek Holt (Digital.ai Software, Inc.); Debojyoti Dutta (Nutanix)
Page: https://ai4.com/sessions/coding-automation-is-here-how-leaders-are-rethinking-software-strategy/

The rapid rise of coding automation is forcing business and technology leaders to reimagine their software strategies. In this panel, senior executives from top enterprises will share how they are navigating this shift—adopting AI tools, rethinking team roles, and redesigning development workflows. Learn how they’re prioritizing investments, measuring outcomes, and preparing their organizations for the next generation of software development. Whether you're piloting AI copilots or scaling automated delivery, this panel will offer strategic insights on how to lead through change and build a more agile, efficient engineering organization.

### 11:55 AM–12:15 PM · From First Call to Appointment: How ClearChoice Is Using AI Agents to Transform the Patient Journey
Solo Talk · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Craig Kierst (ClearChoice at The Aspen Group); Parthh Pathak (Cresta)
Page: https://ai4.com/sessions/from-first-call-to-appointment-how-clearchoice-is-using-ai-agents-to-transform-t/

Getting a patient to show up for a dental consultation isn't just a scheduling problem, it's an engagement problem. In this fireside chat, Craig Kierst, SVP of Sales Strategy & Growth at The Aspen Group, joins Cresta Field CTO Parthh Pathak to walk through how ClearChoice is deploying AI Agents across voice, chat, and SMS to guide patients during the Dental implant customer journey. Craig will share how AI-powered two-way texting took over post-confirmation communication, what it actually looks like to have an AI Agent handle the back-and-forth with a patient at scale, and what results ClearChoice has seen from embedding agentic AI into the full patient journey. A practical, real-world look at what it takes to make AI Agents work in a high-stakes, consumer-facing environment.

### 11:55 AM–12:15 PM · Human First, AI Enabled – Startup Speed on a Global Scale
Fireside Chat · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Nat Rubio-Licht (The Deep View); Saral Jain (Snap)
Page: https://ai4.com/sessions/human-first-ai-enabled-startup-speed-on-a-global-scale/

For years, disruption in the tech industry meant trading stability for speed. AI lets us rewrite that tradeoff, enabling small teams to pressure test ideas while building and launching new products and features in days instead of weeks. In this session, Snap CIO & SVP of Engineering Saral Jain will share how AI tools and agents are expanding the impact small teams can have on a global scale while championing human creativity and innovation.

### 11:55 AM–12:35 PM · Main Street Meets Machine: How AI Is Scaling Across America's SMB Sector
Fireside Chat · AI For SMBs · Titian Ballroom 2304
Speakers: Dan Weisman (National Association of REALTORS®); Scott Richard (Richard Realty); Rebecca Thomson (Coldwell Banker Realty); Greg Burns (Hawai'i Life)
Page: https://ai4.com/sessions/main-street-meets-machine-how-ai-is-scaling-across-america-s-smb-sector/

Real estate is not often the first industry that comes to mind when AI leaders think about scaled deployment, but it should be. With more than two million licensed agents and brokers in the United States, nearly all operating as small/medium business owners, real estate represents one of the largest and most diverse testbeds for AI adoption at the SMB level anywhere in the economy. As AI matures beyond enterprise use, the next wave of transformation will unfold on Mainstreet. This panel examines what happens when AI tools built for enterprise budgets meet SMB reality: limited IT support, no dedicated data teams, and owners that wear every hat. Panelists will share what is working today, from AI-assisted client communication and automated valuation to workflow automation and compliance, and where the gap between the hype and reality remains wide. The conversation surfaces lessons beyond real estate that are applicable to any SMB. It reframes the 33 million small businesses in America as AI's next major growth market, one that requires a fundamentally different product playbook than enterprise. Attendees will leave with concrete use cases, honest benchmarks, and a clearer picture of what it actually takes to build and deploy AI outside the Fortune 500.

### 11:55 AM–12:15 PM · Most AI Pilots Fail. Yours Won’t
Fireside Chat · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Joe Hutchings (Winland Foods); Oscar Marin (EY)
Page: https://ai4.com/sessions/most-ai-pilots-fail-yours-won-t/

90% of AI pilots never make it past proof-of-concept. EY and Winland Foods broke that pattern, and they'll tell you exactly how. In this candid fireside chat, the business and technology leaders behind a real AI Factory deployment share what it actually took to move from promising experiment to enterprise-wide adoption across Order-to-Cash operations: the governance fights, the change management failures, and the operating model that finally stuck. Walk away with a repeatable playbook — not a polished slide deck, but hard-won lessons you can use Monday morning.

### 11:55 AM–12:15 PM · Presentation by Atena Sadeghi, Fedcap Group
Solo Talk · Oversight: AI ROI · Palazzo Ballroom D
Speakers: Atena Sadeghi (Fedcap group)
Page: https://ai4.com/sessions/presentation-by-atena-sadeghi-fedcap-group/

Everyone is asking what AI can do. I believe the better question is: What business value should AI create? In this session, I will introduce the Enterprise AI Value Realization Framework, a practical executive approach for identifying high-value AI opportunities, aligning investments with business strategy, and measuring success through meaningful business outcomes. I will share the principles and lessons learned from leading enterprise AI initiatives to demonstrate how organizations can improve employee productivity, accelerate decision-making, and create lasting business value. Attendees will leave with a repeatable framework they can use to prioritize AI initiatives, gain executive buy-in, and move beyond experimentation to measurable business impact.

### 11:55 AM–12:35 PM · Protecting Enterprise AI Data in the Post-Quantum Era
Solo Talk · Quantum AI (technical) · Delfino Ballroom 4103
Speakers: Camille Nwaefulu (Visa Inc.)
Page: https://ai4.com/sessions/protecting-enterprise-ai-data-in-the-post-quantum-era/

As enterprises accelerate AI adoption, they are collecting, combining, and moving greater volumes of sensitive data across increasingly complex environments. This talk will examine post-quantum cryptography through a data-protection lens, exploring why organizations must consider not only how data is secured today, but how long that protection must remain effective. I will discuss the practical challenges enterprises face, including identifying high-value data, understanding where vulnerable cryptography is used, managing legacy systems, and evaluating vendor readiness. Attendees will learn how data classification, risk-based prioritization, small pilot initiatives, and crypto-agile design can support a realistic post-quantum roadmap. This session will help practitioners connect AI growth, long-term data exposure, and post-quantum preparation without requiring a deep background in quantum computing.

### 11:55 AM–12:15 PM · ROI Maxxing Case Study: The Alchemy of Shipping Faster, Proving AI Value, and Controlling Token Cost
Solo Talk · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: David Wang (Tetrate.io)
Page: https://ai4.com/sessions/roi-maxxing-case-study-the-alchemy-of-shipping-faster-proving-ai-value-and-contr/

Every AI initiative now has to answer one question: what did we get for the spend? That question is harder than it sounds: ROI is part measurement problem, part organizational problem, and many teams struggle with both. This talk gives AI engineering leaders and technical executives a working playbook: how to define AI ROI so it survives a budget review, which infrastructure choices actually move the number, and how to run initiatives that ship fast without becoming a token-cost surprise. We'll walk through a real, anonymized case study end to end to go beyond theory, and into actionable practice.

### 11:55 AM–12:30 PM · Scaling Compute for the AI Enterprise: Strategies for Power, Performance, and Flexibility
Panel Session · Infrastructure: Cloud Data Centers & Compute · Lando Ballroom 4203
Speakers: Greg Wester (Runpod); Ryan Wang (Solaris Venture Partners & Outpost Capital); David Wacker (KONST); Frank Kartmann (Deutsche Bank); Pratik Jain (Auvern.ai)
Page: https://ai4.com/sessions/scaling-compute-for-the-ai-enterprise-strategies-for-power-performance-and-flexi/

As AI workloads grow more complex and compute-hungry, infrastructure leaders must rethink how they scale resources across cloud, on-prem, and edge environments. This panel brings together executives and infrastructure leaders to discuss how they’re building flexible, future-ready compute foundations for enterprise success. Topics will include selecting next-gen chips, planning for distributed training at scale, optimizing for energy and cost efficiency, and aligning infrastructure decisions with evolving business needs. Whether you’re running large language models or deploying edge inference at scale, this session will offer actionable insights into building the compute core of your AI strategy.

### 11:55 AM–12:45 PM · Sovereign Language Models (SLMs & LLMs) in Production
Solo Talk · AI Research Summit (technical) · Venetian Ballroom A
Speakers: Jithin Pradeep (Vanguard); Sagarika Suresh (The Vanguard Group)
Page: https://ai4.com/sessions/sovereign-language-models-slms-and-llms-in-production/

Frontier AI models have made it easier than ever to build intelligent applications, but when does it make sense for an enterprise to build and govern its own language models instead of relying solely on external APIs? This talk explores how to evaluate the build-versus-buy decision for AI models in a heavily regulated financial environment, where intellectual property, data sovereignty, governance, and long-term operational costs play a critical role. We will share practical lessons learned from developing, and deploying domain-specific language models at enterprise scale, including the tradeoffs between proprietary and frontier-model approaches. We will share a strategic perspective on model ownership, cost optimization, and the advantages of controlling the AI models. If you are responsible for bringing AI into enterprise ecosystems and making long-term platform decisions, our talk will provide a framework for evaluating when sovereign AI becomes a durable competitive advantage.

### 11:55 AM–12:15 PM · The Agentic Stack: Why Enterprise Software Needs a New Foundation, Not a New Feature
Solo Talk · AI Agents (technical) · Titian Ballroom 2306
Speakers: Ravi Bulusu (IFS)
Page: https://ai4.com/sessions/the-agentic-stack-why-enterprise-software-needs-a-new-foundation-not-a-new-featu/

For 25 years, enterprise software ran on a simple bargain: learn our menus, our dashboards, our keyboard shortcuts, and we'll let you do your job. Agentic AI breaks that bargain. Ravi Bulusu, CTO of IFS Loops, argues this isn't a UI refresh or a copilot bolted onto old screens, it's a foundational shift in what enterprise software is. Fixed UI, the permanent interface users had to learn, gives way to ephemeral UI that materializes only for the decision at hand and disappears once the work is done. That shift demands a new stack, because applications now have a second class of user: AI agents that speak API, MCP, and A2A instead of mouse and keyboard, and that need reasoning, orchestration, memory, and trust the old architecture was never built for. Drawing on IFS Loops' work building digital workers for industrial enterprises, Ravi shows how to tell real agentic infrastructure from a chatbot wrapper.

### 11:55 AM–12:15 PM · Will AI Empower or Disempower Humanity?
Solo Talk · AI Safety & Alignment · Marcello Ballroom 4404
Speakers: David Scott Krueger (Evitable | University of Montreal, Mila)
Page: https://ai4.com/sessions/will-ai-empower-or-disempower-humanity/

Technology is traditionally thought of as a tool that empowers its users. But AI is increasingly capable of acting autonomously, and superintelligent AI agents could arrive any year now. Many experts are concerned such agents might "go rogue", disempowering -- and likely destroying -- humanity in pursuit of misaligned goals. But even if AI never goes rogue, it might still cause human disempowerment and extinction. Why? Competitive pressures will increasingly push people and institutions to hand power over to AI systems. And even if AI alignment is "solved", we may end up with AIs optimizing for objectives like national security or quarterly profits, even if these objectives become increasingly disentangled from human interests. How can we avoid disempowering ourselves? The future is not written, and I will also discuss arguments against disempowerment as the default outcome, and ways of addressing the risk. But there is no plan. And ultimately, given the rate of progress in AI, the safest course of action may an international agreement to halt further progress towards superintelligence.

### 12:20 PM–12:40 PM · 1,100 Attorneys, One Million+ Prompts: Building a 50+ Tool AI Stack at a Global Law Firm
Solo Talk · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Tim Fox (Ogletree Deakins)
Page: https://ai4.com/sessions/1-100-attorneys-one-million-prompts-building-a-50-tool-ai-stack-at-a-global-law/

In under 2 years, I helped take Ogletree Deakins from no AI tools to a stack of more than 50 licensed and homegrown tools, crossing well over one million prompts along the way and still climbing. We did it all while earning our ISO 42001 certification, ensuring enterprise governance for every decision. In this session, I'll cover the buy vs. build decisions behind that growth, including where Claude, Harvey, and Microsoft Copilot fit, and what worked and what didn't. I'll also share the use cases that actually drove adoption across the firm. You'll leave with lessons learned, practical use cases, and ideas on how to drive adoption at your own organization.

### 12:20 PM–12:40 PM · AI, Mental Health, and Human Connection: Adam Mendler and Dr. Joseph Lee, Hazelden Betty Ford
Fireside Chat · AI Safety & Alignment · Marcello Ballroom 4404
Speakers: Adam Mendler (Thirty Minute Mentors); Joseph Lee (Hazelden Betty Ford)
Page: https://ai4.com/sessions/ai-mental-health-and-human-connection-adam-mendler-and-dr-joseph-lee-hazelden-be/

AI is moving into the most private parts of human life, reshaping how we connect, how we cope, and how we understand ourselves. Its impact on mental health is neither simple nor settled. AI can deepen isolation, distort relationships, and create new risks to wellbeing. It can also expand access, offer support, and open new pathways to connection and healing. In this fireside chat, Adam Mendler and I will explore how AI is already changing our inner lives, how to distinguish meaningful support from harmful dependence, and how to navigate a future where technology plays a larger role in mental health without losing what makes care, connection, and healing human.

### 12:20 PM–12:40 PM · Beyond Chatbots: The Next AI Frontier is Physical
Fireside Chat · Infrastructure: AI Agents · Delfino Ballroom 4104
Speakers: Vijay Badrinarayanan (Wayve.ai); Rafe Uddin (Financial Times)
Page: https://ai4.com/sessions/beyond-chatbots-the-next-ai-frontier-is-physical/

Generative AI transformed how machines understand and generate information. The next challenge is enabling AI to understand, reason and act in the physical world. In conversation with Financial Times San Francisco Correspondent Rafe Uddin, Wayve VP of AI Vijay Badrinarayanan explores why Physical AI is emerging as the industry's next frontier, how advances in world models and end-to-end learning are making it possible, and why Wayve chose to pursue this approach long before it entered the mainstream.

### 12:20 PM–12:40 PM · Building the Next-Generation Humanoid Robot and Ecosystem
Solo Talk · World Models · Lando Ballroom 4204
Speakers: Nick Xu (Unitree Robotics)
Page: https://ai4.com/sessions/building-the-next-generation-humanoid-robot-and-ecosystem/

I will introduce about Unitree's Product and future roadmap.

### 12:20 PM–12:40 PM · Complex SOPs, Brittle Agents: Evaluating AI Agents in Real-World Automations
Solo Talk · AI Agents (technical) · Titian Ballroom 2306
Speakers: Udita Patel (Amazon)
Page: https://ai4.com/sessions/complex-sops-brittle-agents-evaluating-ai-agents-in-real-world-automations/

Real world standard operating procedures are complex, involving branching logic, long sequential steps, ordering constraints, rollback paths and ambiguous tool definitions. Current AI agents are surprisingly brittle when executing them and measuring them with task success rate is insufficient. As agents move from copilots to autonomous operators, this is a blind spot with real production consequences. This talk introduces an evaluation framework with comprehensive error taxonomy followed by empirical findings from evaluating frontier models across multiple domains. Attendees will leave with understanding of what makes real world AI agents challenging and practical approaches for building and evaluating these AI agents in real world.

### 12:20 PM–12:40 PM · Exploring AI Energy Efficiency and Model Performance with Quantum Computing
Solo Talk · Generative AI: Applications & Use Cases · Venetian Ballroom E
Speakers: Murray Thom (D-Wave Quantum)
Page: https://ai4.com/sessions/exploring-ai-energy-efficiency-and-model-performance-with-quantum-computing/

Quantum computing could be a viable path to improving AI energy efficiency and model performance.Attend this talk to learn how quantum computers could enable you to continue advancing AI capabilities while managing cost, efficiency, and performance. Hear about real-world use cases and companies that are starting to integrate quantum and AI workflows today in areas such as drug discovery.

### 12:20 PM–12:40 PM · From Product Signals to Venture Capital Investments
Solo Talk · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: SC Moatti (Mighty Capital)
Page: https://ai4.com/sessions/from-product-signals-to-venture-capital-investments/

What if your best Associate never slept, never missed a signal, and had listened to every conversation your industry's top experts ever had?Venture capital has always rewarded pattern recognition but the patterns have historically lived in relationships, intuition, and years of domain expertise that don't scale. At Mighty Capital, we built the Product Signal Intelligence System: an AI engine that mines a decade of conversations with 600,000+ product leaders to surface product signals before they become investment consensus.In this session, you will see how we combined NLP, agentic pipelines, and RAG optimization to turn a proprietary content archive into a continuously operating signal engine.If you want to understand what it looks like to build AI infrastructure that creates a durable, data-driven investment edge, this session will show you exactly how we did it.

### 12:20 PM–12:40 PM · Is Your Insights Team Capturing the Phantom ROI of AI?
Solo Talk · Oversight: AI ROI · Palazzo Ballroom D
Speakers: Xufeng Wang (Ipsos)
Page: https://ai4.com/sessions/is-your-insights-team-capturing-the-phantom-roi-of-ai/

What if the most valuable returns from AI are the ones your ROI model cannot see? Across analytics, data science, and data management, AI is creating new operating dynamics—changing how teams collaborate, how decisions get made, how products evolve, and how scarce talent is leveraged—yet much of that value remains hidden behind conventional productivity metrics. Grounded in lessons from leading data and analytics organizations, this session will challenge leaders to rethink how they define and measure AI value, and offer a practical framework for connecting these “phantom” returns to financial outcomes, organizational capacity, and sustained business impact.

### 12:20 PM–12:40 PM · Production-Grade Agents: Merging Mass Data into Real-Time Decisions
Solo Talk · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Eric Hankinson (Outdoor Equipped)
Page: https://ai4.com/sessions/production-grade-agents-merging-mass-data-into-real-time-decisions/

What if your business could make every decision the moment the data arrived, instead of waiting on a report? In high-volume operations like Amazon retail, the gap between data and decision is where margin quietly disappears — and traditional BI was never built to close it. I will walk through how I deployed AI agents and MCP servers to merge fragmented data sources across one of the largest third-party Amazon operations in the U.S., delivering per-transaction P&L, demand forecasting, and reorder decisions in real time. Attendees will leave with a practical understanding of how to architect agentic workflows for production, the pitfalls I hit along the way, and the design choices that separate demo-ware from systems that actually run a business. If you're responsible for decisions inside a data-heavy operation, this talk will show you what's already possible — and what's coming next.

### 12:20 PM–12:40 PM · Reimagining the Healthcare Experience: How Health100 Is Putting Consumers First
Fireside Chat · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Tony Ambrozie (CVS Health | Health100); Ruth Reader (Second Opinion Media)
Page: https://ai4.com/sessions/reimagining-the-healthcare-experience-how-health100-is-putting-consumers-first/

A strategic vision for how Health100, an AI-native open consumer engagement platform, is reshaping the consumer's relationship with healthcare.

### 12:20 PM–12:40 PM · Scaling Voice AI Agents at CVS: Lessons from Pharmacy to the Enterprise
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Yogesh Bhagat (CSV Health & Health100); Kris Efland (Deepgram)
Page: https://ai4.com/sessions/scaling-voice-ai-agents-at-cvs-lessons-from-pharmacy-to-the-enterprise/

CVS operates voice at national scale—across pharmacy, payer, provider, and retail—where every channel decision is an access and operations decision. In this fireside chat, CVS shares how it moved beyond rigid, menu-driven IVR to an enterprise-grade voice platform built for the complexity and compliance of healthcare: the approach to the build, the outcomes that matter most (higher containment, better task completion, reduced friction), and what comes next. The bigger shift is from voice as a transactional IVR to an intelligent, conversational front door to healthcare—and CVS is showing what it takes to operationalize that at scale.Hosted by Deepgram. Featuring Yogesh Bhagat, Vice President Digital and Technology, in conversation with Kris Efland, VP of Engineering, Deepgram

### 12:20 PM–12:40 PM · What It Takes to Build an Agent Platform for Customers
Fireside Chat · Software: Productivity & Collaboration · Palazzo Ballroom L
Speakers: Rob Pegoraro (PCMag / Fast Company); Tabrez Mohammed (Docusign)
Page: https://ai4.com/sessions/what-it-takes-to-build-an-agent-platform-for-customers/

Most AI agent talks focus on building tools for employees—but what changes when your users are your customers? In this talk, I will explore the unique challenges of building an externally facing agent platform at Docusign, including the strategic decisions and architectural tradeoffs required to balance long-term platform growth with the need to ship customer value quickly. I will share practical patterns for designing a secure, multi-tenant, extensible foundation that enables teams to deliver new agent capabilities rapidly without sacrificing scalability or maintainability. If you're building AI into a SaaS product, you'll leave with a framework for making platform decisions that help you move fast today while setting yourself up for success tomorrow.

### 12:20 PM–12:40 PM · When Everyone Can Build: Securing Healthcare in the Age of AI
Solo Talk · Cybersecurity · Marcello Ballroom 4403
Speakers: Joseph Izzo (San Joaquin General Hospital)
Page: https://ai4.com/sessions/when-everyone-can-build-securing-healthcare-in-the-age-of-ai/

Artificial intelligence has dramatically lowered the barriers to building useful software, empowering clinicians and other domain experts to solve problems that once required specialized technical expertise and dedicated development teams. Drawing on my experience building and governing healthcare software and AI tools before and after the rise of coding agents, I will explore how this transformation changed the way I think about innovation, cybersecurity, and organizational risk. The talk will explore how the AI era challenges the traditional assumption that innovation and cybersecurity must compete with one another. Rather than preventing clinicians and other domain experts from building, healthcare organizations have an opportunity to create pathways where new ideas are encouraged, safely evaluated, and responsibly integrated into patient care. Through practical examples, attendees will learn practical principles for balancing innovation with governance, cybersecurity, and patient safety without creating unnecessary barriers to progress. The goal is not to slow the next generation of builders, but to create healthcare organizations where innovation and security can succeed together.

### 12:30 PM–2:00 PM · Lunch
Breaks & Meals · Halls B&C
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDQwMDQwMw==

### 2:00 PM–3:50 PM · Agentic Live Demos
Agentic Live Demo · Agentic Live Demos · Halls B&C
Page: https://ai4.com/sessions/agentic-live-demos-odu4oq/

Agentic AI has everybody talking—come see what's next.Experience AI in action at the Agentic Live Demo Stage, where innovators showcase real-world agentic AI through live demonstrations. Discover how AI agents are transforming workflows, solving complex challenges, and creating new possibilities across industries. The demos will run each afternoon in the Exhibit Hall.After the demos, continue the conversation by visiting exhibitors’ booths for deeper discussions, hands-on experiences, and insights into how the latest agentic technologies can help drive your organization forward.

### 2:00 PM–2:15 PM · InMotus Connect: Healthcare Intelligence in Action
Agentic Live Demo · Agentic Live Demos · Halls B&C
Page: https://ai4.com/sessions/inmotus-connect-healthcare-intelligence-in-action/

What if healthcare’s greatest challenge is not a lack of meaningful technology, but a lack of connection? InMotus Connect was built around that question. I speak from experience, both as a founder and as a patient. One year ago, I suffered an injury that nearly slipped through the same fragmented healthcare system I was working to improve. In the end, technology alone did not catch it. The clinical connections I made for myself did. In this talk, I will introduce what we call Healthcare Intelligence: distinct, trusted, and clinically vetted technologies working together, rather than a single generalized model attempting to guess at every answer. I will also demonstrate how an agentic workflow can build and rank a patient’s unique Injury Signature in real time, adapt the appropriate triage pathway, and deliver condition specific education that responds to the question behind nearly every patient encounter: How will I get through this?Come see what healthcare can become when better connection between technologies guides every patient's journey from discovery to recovery.

### 2:10 PM–2:50 PM · A Whole New World: How AI Collapses the Distance from Idea to Shipped Product
Solo Talk · Enterprise Unlocks: AI Coding Strategy · Palazzo Ballroom E
Speakers: Alexandra Foote (The Walt Disney Company)
Page: https://ai4.com/sessions/a-whole-new-world-how-ai-collapses-the-distance-from-idea-to-shipped-product/

For years the PM job ended at the edge of imagination: you’d spec the product, pitch it, and wait quarters for it to be built. Now you can carry an idea from intent to working prototype, collapsing the timeline into days. This talk walks that new pipeline end to end and shows PMs and leaders where the old steps vanish, how to evaluate the tools, and how to rebuild teams around them. When anyone can build, the hard part is no longer execution. It’s the judgment and taste to know what deserves to ship.

### 2:10 PM–2:30 PM · Breaking the Dead-End Loop: Designing Autonomous Agents Consumers Actually Trust
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Michael Vermillion (JD Power)
Page: https://ai4.com/sessions/breaking-the-dead-end-loop-designing-autonomous-agents-consumers-actually-trust/

Are we about to repeat the mistakes of early digital transformations by forcing customers down dead-end AI paths? As enterprises race to deploy autonomous agents, many early rollouts are actually causing customer satisfaction to plummet rather than improve. In this session, I will share J.D. Power data illustrating why current agent deployments fail and how customer readiness must dictate your technical roadmap. I will walk through frameworks for building high-trust, seamless handoffs between AI and human teams that turn agentic workflows into massive satisfaction drivers. Join me to discover how putting user trust at the core of your strategy ensures your AI investments build long-term brand loyalty.

### 2:10 PM–2:30 PM · Building Reliable AI Agents in Production
Solo Talk · AI Agents (technical) · Titian Ballroom 2306
Speakers: Charishma Bhavani Koneru (Block Inc)
Page: https://ai4.com/sessions/building-reliable-ai-agents-in-production/

Building an AI agent is easier than building one people trust in production. In this talk, I'll share lessons from building and operating production AI copilots and autopilot systems for high-volume financial operations using specialized AI agents, deterministic decision logic, and continuous feedback loops. I'll explain how we earned trust through a copilot-to-autopilot rollout strategy, subject matter expert validation, analyst override feedback, and continuous LLM evaluations (LLM-as-Judge) that monitor quality and detect regressions in production. You'll leave with practical design patterns for building reliable AI agents, establishing robust evaluation pipelines, and safely deploying AI systems in regulated, high-stakes environments.

### 2:10 PM–2:55 PM · Building the Modern Data Stack for AI: What’s Working and What’s Not
Panel Session · Data Engineering · Lando Ballroom 4204
Speakers: Bhanu Prakash Reddy Rella (Meta); Emanuel Bettelheim (Bloomberg); Jordan Tigani (MotherDuck); Emil Protalinski (Techmeme and EPro Strategies)
Page: https://ai4.com/sessions/building-the-modern-data-stack-for-ai-what-s-working-and-what-s-not/

Data engineering is under pressure to support increasingly complex AI workflows—and fast. This panel dives into how leading teams are building robust, scalable infrastructure to power real-time AI applications. Experts will share hard-won lessons on pipeline design, data freshness, cost optimization, and tooling selection. Expect candid insights on where legacy architectures are breaking down, how vector and streaming solutions are evolving, and what’s actually working at scale.

### 2:10 PM–2:30 PM · Dawn of a New Era: What Happens When Your Mind Connects to a Computer?
Solo Talk · Emerging Parallel Technologies · Marcello Ballroom 4404
Speakers: Noland Arbaugh (Noland Arbaugh LLC)
Page: https://ai4.com/sessions/dawn-of-a-new-era-what-happens-when-your-mind-connects-to-a-computer/

The talk will challenge how we think about disability, technology, and human potential. It will show how brain-computer interfaces are already reshaping independence, communication, and daily life. I will explain what this technology actually is, what it is not, and why ethics matter as much as innovation. Attendees will leave with a clearer view of the future and their place in it. Come ready to rethink what is possible.

### 2:10 PM–3:00 PM · Evaluating Agentic Systems | Roundtable by Rakesh Maram, AT&T [RSVP REQUIRED]
Roundtable · Roundtable (technical) · Room 301
Speakers: Rakesh Maram (AT&T)
Page: https://ai4.com/sessions/evaluating-agentic-systems-roundtable-by-rakesh-maram-at-and-t-rsvp-required/

This event requires an RSVP; to attend, submit form hereHow do we know if an autonomous system is truly capable, rather than optimized for a benchmark? This roundtable will explore why static evaluations are no longer enough for modern AI agents. The discussion will focus on dynamic testing environments that capture reasoning, tool use, failure recovery, and long-horizon planning. I will share practical ways to define success criteria and identify where agents break down before production.

### 2:10 PM–2:30 PM · Fireside Chat with Biswa Sengupta — How Finance Decides Where AI Belongs
Fireside Chat · Generative AI: Applications & Use Cases · Venetian Ballroom E
Speakers: Biswa Sengupta (JPMorgan Chase & Co.); Nathan Bomey (Axios)
Page: https://ai4.com/sessions/fireside-chat-with-biswa-sengupta-how-finance-decides-where-ai-belongs/

AI is easy in demos. It's much harder when trillions of dollars and regulators are involved.Every bank claims to be "AI-powered," but very few are talking candidly about what actually makes it into production. Join Biswa Sengupta of JPMorgan Chase for a behind-the-scenes conversation on how the financial industry evaluates AI opportunities, manages risk, and decides where the technology delivers measurable business value—and where it doesn't.You'll hear practical lessons from deploying AI across the banking stack, separating real transformation from vendor hype, and what leaders should be preparing for over the next several years.If you want a realistic view of enterprise AI—not another slide deck of promises—don't miss this session.

### 2:10 PM–2:30 PM · From Computation to Expression: How AI Reshapes What and How We Design
Solo Talk · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Federico Casalegno (Samsung Electronics)
Page: https://ai4.com/sessions/from-computation-to-expression-how-ai-reshapes-what-and-how-we-design/

From Computation to Expression: How AI Reshapes What and How We Design

### 2:10 PM–2:30 PM · From Search to Synthesis: AI that Supports the Open Web
Fireside Chat · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Kat Downs Mulder (Yahoo); Eric Feng (Yahoo); Harry McCracken (Fast Company)
Page: https://ai4.com/sessions/from-search-to-synthesis-ai-that-supports-the-open-web/

This material is to come

### 2:10 PM–2:50 PM · Generative AI for Federated Learning: Improving Privacy & Performance
Solo Talk · Edge AI & Tiny ML (technical) · Delfino Ballroom 4103
Speakers: Fiona Victoria (Oregon State University)
Page: https://ai4.com/sessions/generative-ai-for-federated-learning-improving-privacy-and-performance/

Enterprises want what generative AI can offer, but often their most valuable data can't leave the building, whether it be patient records in healthcare, transactions in finance, or proprietary design plans in manufacturing. That friction is what pulled me into federated learning. In this talk, I'll show how FL solves that problem and how the tools have matured well past the sandbox stage. I'll walk through recent advancements that have made FL more practical, including federated fine-tuning, efficient architectures, and stronger privacy guarantees, and cover what regulated industries should weigh before adopting FL. This talk will help you see why FL is no longer just a research curiosity for privacy-sensitive AI.

### 2:10 PM–2:50 PM · Learning Fast from AI Missteps: What Actually Worked in the Real World
Solo Talk · Aifails · Marcello Ballroom 4403
Speakers: Collin Campbell (Cushman & Wakefield)
Page: https://ai4.com/sessions/learning-fast-from-ai-missteps-what-actually-worked-in-the-real-world/

AI projects rarely fail because of the models themselves. Instead, they fail because of messy data, flawed assumptions, and the unpredictable ways people use the technology. In this session, you'll hear how Cushman & Wakefield's AI strategy evolved through very real, and sometimes humorous missteps.We will dive into what went wrong, why it happened, and how each failure directly improved Cushman's approach to governance, adoption, and delivery speed. Attendees will walk away with practical lessons for deploying AI in complex enterprise environments where accuracy, trust, and scalability matter most. Expect clear takeaways you can use to move faster in the future by treating failures as fuel, not setbacks.

### 2:10 PM–3:00 PM · Leveraging AI for Incident Response with Dr. Arsh [RSVP REQUIRED]
Roundtable · Roundtable · Room 302
Speakers: Arsh Arora (McKesson)
Page: https://ai4.com/sessions/leveraging-ai-for-incident-response-with-dr-arsh-rsvp-required/

This event requires an RSVP; to attend, submit form hereJoin me for an interactive roundtable on Leverage AI for Incident Response, designed for security leaders who need clarity, precision, and operational value. This session will dissect how artificial intelligence is redefining detection, triage, containment, and post-incident analysis across modern SOC environments. Participants will examine concrete use cases, emerging capabilities, governance requirements, and the operational realities of integrating AI into high-stakes security workflows. Whether you are curious about automation, predictive analytics, or reducing response times, this is your chance to share insights, ask questions, and shape the future of incident response together.

### 2:10 PM–2:55 PM · Representation Matters: Building Inclusive Teams and Ethical Systems
Panel Session · Inclusive AI · Titian Ballroom 2304
Speakers: Nathan Walker (AI Ethics Lab, Rutgers University); Jana Brown (eHealth); Janeen Uzzell (National Society of Black Engineers)
Page: https://ai4.com/sessions/representation-matters-building-inclusive-teams-and-ethical-systems/

This powerful conversation features technologists, experts, and researchers discussing what it really takes to diversify the AI ecosystem. From talent pipelines and organizational change to dataset curation and product impact, the panel explores strategies for equity in AI development. Learn what works (and what doesn’t) when trying to build inclusive teams and systems—and why it’s a business imperative, not just a moral one.

### 2:10 PM–2:30 PM · The Four Horsemen of AI
Solo Talk · Infrastructure: Cloud Data Centers & Compute · Lando Ballroom 4203
Speakers: Greg Osuri (Akash)
Page: https://ai4.com/sessions/the-four-horsemen-of-ai/

AI’s greatest threats may not come from rogue models, but from the systems required to build, power, govern, and trust them. Regulation is fragmenting across borders, advanced compute is concentrating in fewer hands, energy demand is colliding with infrastructure limits, and privacy concerns are eroding public confidence. Together, these four forces could slow innovation, raise barriers to entry, and determine who gets to shape the future of AI. This session will examine how these threats reinforce one another and explore practical solutions, including adaptive policy, decentralized compute, new energy strategies, and privacy-preserving architectures. Attend to gain a clear framework for confronting the Four Horsemen and building an AI ecosystem resilient enough to survive them.

### 2:10 PM–2:30 PM · The Organizational AI Imperative
Solo Talk · CAIO CIO & It Leaders · Palazzo Ballroom G
Speakers: Jacob Schofield (Google Cloud)
Page: https://ai4.com/sessions/the-organizational-ai-imperative/

While AI technology is advancing rapidly, many organizations still struggle to translate these innovations into meaningful, transformational business value. This session explores the common roadblocks stalling enterprise AI initiatives and introduces a practical framework for connecting AI capabilities directly to bottom-line results.

### 2:10 PM–2:30 PM · Turning Your Value Proposition Into Coordinated AI Agents
Solo Talk · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Steve Toy (Just a Bite Better (JaBB))
Page: https://ai4.com/sessions/turning-your-value-proposition-into-coordinated-ai-agents/

Most companies do not need generic AI. They need AI that quickly and scalably delivers their unique value proposition to their customers. In this session, I will share a practical blueprint for leaders, product owners, and hands-on builders to turn domain expertise into focused, coordinated AI agents that customers love. Drawing on my experience leading Memrise, JaBB, and dinemait, I will show how to do this while also coaching your teams to adopt the process with confidence. You will have a blueprint and several actionable ideas for your own business as you walk out of the room.

### 2:20 PM–2:35 PM · Agentic Live Demo by Coval
Agentic Live Demo · Agentic Live Demos · Halls B&C
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDUyODA4MA==

### 2:35 PM–3:25 PM · Beyond RAG - Next-Gen Knowledge Integration Roundtable Moderated by Selim Mimaroglu [RSVP REQUIRED]
Roundtable · Roundtable (technical) · Room 303
Speakers: Selim Mimaroglu (Fannie Mae)
Page: https://ai4.com/sessions/beyond-rag-next-gen-knowledge-integration-roundtable-moderated-by-selim-mimarogl/

This event requires an RSVP; to attend, submit form here

### 2:35 PM–2:55 PM · Everyone Has AI. Why Are Some Companies Winning?
Solo Talk · Generative AI: Applications & Use Cases · Venetian Ballroom E
Speakers: Kevin Xie (Soren AI)
Page: https://ai4.com/sessions/everyone-has-ai-why-are-some-companies-winning/

Every company now has access to powerful AI models. Yet only a handful are creating lasting competitive advantage. Join Kevin, an MIT computer scientist and CEO of Soren, to explore how leading organizations are redesigning workflows, empowering employees with AI agents, and building systems that compound intelligence across the business.You will leave with a practical framework for identifying high-value AI opportunities, deploying agents responsibly, and building an organization that wins in the age of AI.

### 2:35 PM–2:55 PM · Fraud Detection Agents at Scale, Built on MongoDB + Mastra
Solo Talk · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Brandon Barros (Masta); Mohammad Daoud Farooqi (MongoDB)
Page: https://ai4.com/sessions/fraud-detection-agents-at-scale-built-on-mongodb-mastra/

Fraud detection in an agentic world is hard: evidence for a decision is scattered, only some calls should reach a human, and all must stay auditable. This talk builds Marshal, a fraud investigation console. It assembles the evidence server-side in MongoDB Atlas, running vector, text, and graph retrieval over one collection. Mastra's durable workflows wrap that in a deterministic flow that suspends for an approver and resumes. You get an audit trail, PII protection, and a clear path to self-improvement from production traces. Come if you're putting an agent where a regulator will look.

### 2:35 PM–2:55 PM · From Hype to Real Utility : Making Quantum Useful for AI Today
Solo Talk · Emerging Parallel Technologies · Marcello Ballroom 4404
Speakers: Yong Meng Sua (Quantum Computing Inc.)
Page: https://ai4.com/sessions/from-hype-to-real-utility-making-quantum-useful-for-ai-today/

Quantum computing is often positioned as a future breakthrough, but meaningful value is already being realized today. In this talk, I will highlight how quantum-inspired and photonic computing approaches are delivering practical solutions to real-world AI and optimization challenges, without relying on fault-tolerant quantum systems. These technologies are not replacements for classical AI, but powerful complements, particularly for complex optimization, pattern recognition, and data-intensive decision-making. Drawing on real world deployment, I will discuss where quantum and photonics approaches are already gaining traction, how they complement existing AI workflows, and what differentiates practical solutions from theoretical promise. Join this session to separate signal from noise and start leveraging quantum for practical impact today.

### 2:35 PM–3:25 PM · God, AI and Our Meaning Crisis: Architecting Moral Structures in an Age of AI [RSVP REQUIRED]
Roundtable · Roundtable · Room 305
Speakers: R. York Moore (Coalition for Christian Outreach)
Page: https://ai4.com/sessions/god-ai-and-our-meaning-crisis-architecting-moral-structures-in-an-age-of-ai-rsvp/

This event requires an RSVP; to attend, submit form hereAs AI becomes increasingly embedded in decision-making, creativity, leadership, and moral reasoning, this talk will confront a deeper question: what happens when wisdom becomes machine-led? The talk will explore AI as non-neutral technology - not merely a tool, but a formative force shaping human agency, meaning making, and our shared moral imagination. In an age marked by a growing meaning crisis, the session will examine the human teleological quest: our search for purpose, direction, and the good, and why technical intelligence alone cannot answer it. The talk will illustrate how foundational religious narratives can help architect moral structures that keep human flourishing at the center of AI design, deployment, and governance. Rather than treating ethics as an afterthought or compliance layer, the session will build from first principles: What is a human being, what is the good life, and what kind of future are we creating? Together, we will explore a worldview framework for engaging AI as a human-centered partner without surrendering meaning, morality, or wisdom to the machine.

### 2:35 PM–2:55 PM · How Networks Shape the New AI Economy
Solo Talk · Infrastructure: Cloud Data Centers & Compute · Lando Ballroom 4203
Speakers: Faisal Hanif (Upscale)
Page: https://ai4.com/sessions/how-networks-shape-the-new-ai-economy/

Enterprise AI has moved past experimentation and into production, and the cost structure has fundamentally changed. Tokens are now the primary unit of AI value, and the network sits at the center of every decision around how many are produced, how fast, and at what cost. As inference workloads come to dominate AI spending, network efficiency directly determines tokens per dollar at scale. In this session, I will explore how organizations that architect for agentic workloads, disaggregated inference, and open fabric infrastructures today will be best positioned to compete in the AI economy of tomorrow.

### 2:35 PM–2:55 PM · Managing Through the AI Cost Crisis
Solo Talk · Oversight: AI ROI · Palazzo Ballroom D
Speakers: Scott Bulloch (Flexera)
Page: https://ai4.com/sessions/managing-through-the-ai-cost-crisis/

Recent technology news has been dominated by the growing concern of organizations losing control of AI spend, with companies reporting budget blowouts in months, runaway token usage, and nine-figure bills tied to unmanaged access. As organizations accelerate AI adoption, they are discovering that the biggest barrier to scale isn't innovation, it's cost. Join Flexera to explore the drivers behind today's AI cost crisis and learn how leading organizations are enabling financial accountability, controlling costs, and affordably running AI at scale while delivering measurable business value from their investments.

### 2:35 PM–2:55 PM · PRAXIST: The World's First Autonomous Research System Delivering Validated, Enterprise-Ready Results
Solo Talk · AI Agents (technical) · Titian Ballroom 2306
Speakers: William Chen (Sapient Intelligence Pte. Ltd.)
Page: https://ai4.com/sessions/praxist-the-world-s-first-autonomous-research-system-delivering-validated-enterp/

Tired of repetitive model tuning or running out of new ideas to explore? Free yourself from the tedious side of research. PRAXIST is the world's first production-ready, open-source autonomous research system. It handles the repetitive heavy lifting while you focus on exploring ideas, developing insights, and tackling higher-level research questions.In this session, Sapient Intelligence will introduce a new research paradigm—one in which just a few lines of instruction can autonomously turn a baseline into an above-SOTA result. At a fraction of the cost of Claude Code, PRAXIST can research, write code, design and configure experiments and simulations, analyze results, refine iterations and tune models … all with minimal human intervention. This fundamentally transforms both the workflow and economics of enterprise R&D.Today, PRAXIST supports more than 50 task types across over 30 industries and achieves leading performance on agentic research benchmarks such as MLE-bench.In this session, you will discover what a 100×-accelerated frontier research workflow feels like, including:- How PRAXIST operates - The technology behind its autonomous research capabilities - The latest prompting techniques for AI-driven research - State-of-the-art results produced autonomously by PRAXISTThe next generation of leading researchers will not simply use AI. They will know how to turn it into a decisive research advantage.

### 2:35 PM–2:55 PM · Self-Optimization: The reinforcement loop and the future of agent trust
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Barr Moses (Monte Carlo AI)
Page: https://ai4.com/sessions/self-optimization-the-reinforcement-loop-and-the-future-of-agent-trust/

Self-Optimization: The reinforcement loop and the future of agent trustThe idea that AI agents could improve on their own — detect their own failures, fix them, and get better without a human operator — sounds like science fiction. It isn't. We're closer to that self-optimizing future than most people think, and what it takes to get there might surprise you because it's something we've already built. Trust infrastructure. The framework that tells you whether an agent is trustworthy in production today — a single view across context, performance, behavior, and outputs — turns out to be exactly what a self-improving system needs to run on. In this session, I'll show you how the two connect: how the reinforcement loop that drives self-optimization depends on that trust infrastructure underneath it to stay reliable, cycle after cycle. Get the foundation wrong, and the loop just optimizes your agent around a broken system. Drawing on patterns from billion-dollar enterprises running real agents in production, you'll leave understanding why the path to autonomous, self-improving agents runs straight through the trust foundation you're building right now.

### 2:35 PM–3:25 PM · The Call to Responsible AI Leadership [RSVP REQUIRED]
Roundtable · Roundtable · Room 304
Speakers: Clark Cully (DeVoe School of Business)
Page: https://ai4.com/sessions/the-call-to-responsible-ai-leadership-rsvp-required/

This event requires an RSVP; to attend, submit form hereThis talk addresses how leaders set conditions for AI initiatives to succeed and foster deep organizational transformation. It will explore how responsible AI approaches avoid common shortcuts to ensure that initiatives are ethical, enduring, and effective. By learning to ask strategic questions and put people first, AI leaders can elevate their organizational culture and create enduring competitive advantage.

### 2:35 PM–2:55 PM · The Next Invisible Asymptote: Collaboration at the Speed of AI
Solo Talk · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Brendan McCook (Miro); Kendra Wilkins (Miro)
Page: https://ai4.com/sessions/the-next-invisible-asymptote-collaboration-at-the-speed-of-ai/

Every company eventually runs into an invisible asymptote, a term coined by Eugene Wei describing a hidden ceiling where growth quietly flattens no matter how hard you push. In the AI era, a new one is emerging: the point where an organization's collective intelligence can't keep up with the speed of its AI. Individuals are moving 10x faster, yet that speed rarely translates into 10x more value. In racing to move faster, teams are engineering out the very friction that once built deep, shared knowledge. This talk unpacks why that friction mattered, what the best teams are doing to preserve it without slowing down, and how to use AI to accelerate the development of collective intelligence rather than trying to replace it.

### 2:35 PM–2:55 PM · Why AI Isn’t the Hardest Part of Language Operations
Solo Talk · Infrastructure: AI Platforms & Tools · Palazzo Ballroom M
Speakers: Ari Karampour (Indeed)
Page: https://ai4.com/sessions/why-ai-isn-t-the-hardest-part-of-language-operations/

AI can translate content at a scale no team could ever manually review, but how do you know when it is safe to automate? As organizations adopt AI across their operations, the challenge is no longer generating content. It is building the technology stack, orchestration layers, and workflow automation that enable trusted, end-to-end delivery. This session explores the architecture behind an AI-powered language operating model, showing how automated intake, AI translation, quality estimation, decision engines, and human oversight work together to determine when content can be delivered automatically and when human review is still required. Attendees will learn practical design principles for building AI workflows that combine confidence signals with business rules to scale automation while maintaining quality, governance, and trust. Join this session to learn how trusted AI architectures can move organizations beyond simple automation toward truly autonomous language operations.

### 2:40 PM–2:55 PM · Turn the Live Web into Business Intel: Three Agents, One Pattern
Agentic Live Demo · Agentic Live Demos · Halls B&C
Page: https://ai4.com/sessions/turn-the-live-web-into-business-intel-three-agents-one-pattern/

Your teams already ask questions the live web can answer: what a competitor shipped this morning, which account's users are publicly complaining about their current vendor, what a competitor charges today in each market you sell in. Today those answers come from an analyst working by hand or a vendor selling last quarter's data. This demo builds three agents live on stage, competitive intel, sales intel, and global pricing intel, using the same few lines of code with a different schema each time. Each one runs against real sites and cites the page behind every claim, so the output holds up in front of a customer or an exec. The session also covers what a run costs and how to put it on a schedule. Bring the intel question your company keeps paying people to answer by hand.

### 3:00 PM–3:20 PM · 5 Reasons Why AI Governance Fails
Solo Talk · AI Safety & Alignment · Venetian Ballroom E
Speakers: Reid Blackman (Virtue Consultants)
Page: https://ai4.com/sessions/5-reasons-why-ai-governance-fails/

You can't successfully deploy AI agents if you can't govern them. But the standard way of governing AI *does not work* when it comes to agents. . I'll explain 5 causes of AI governance failure, each of which comes with a lesson for what we need to do instead. This culminates in 5 criteria that any successful approach to AI governance must meet.

### 3:00 PM–3:15 PM · Agentic Live Demo by Cognition AI
Agentic Live Demo · Agentic Live Demos · Halls B&C
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDUyMTEwOQ==

### 3:00 PM–3:20 PM · AI Water Stewardship: Farms & Data Centers in Shared Basins
Solo Talk · Infrastructure: Cloud Data Centers & Compute · Lando Ballroom 4203
Speakers: Max Moldavsky (Netafim)
Page: https://ai4.com/sessions/ai-water-stewardship-farms-and-data-centers-in-shared-basins/

Water is becoming the defining constraint for both food production and digital infrastructure—so how do we manage it smarter, together? In this talk, I will explain how precision irrigation, powered by AI, turns water stewardship into measurable action at the basin level. By combining sensors, forecasts, and crop models, we can optimize every drop—reducing withdrawals, improving yields, and generating verifiable water savings. I will show how these auditable outcomes support corporate targets while strengthening shared-basin resilience. Join this session to explore how data-driven precision irrigation can align agricultural productivity with sustainable digital growth.

### 3:00 PM–3:20 PM · Building an AI-Native Product Workflow
Solo Talk · Enterprise Unlocks: AI Coding Strategy · Palazzo Ballroom E
Speakers: Josh Guice (Liatrio)
Page: https://ai4.com/sessions/building-an-ai-native-product-workflow/

See firsthand what it takes to extend AI-powered productivity from engineering to the rest of the organization. In this session, we follow a complete workflow end to end: a feature goes from a raw stakeholder conversation to fully scoped, developer-ready stories, with AI agents pulling in context from the team's existing docs and tools along the way. You'll watch every step and every artifact unfold on screen, and judge for yourself what it would take to get AI speed out of engineering and into the rest of the team.

### 3:00 PM–3:40 PM · Grappling with the Bitter Lesson: A Roadmap to Corporate AI Adoption and Strategic Advantage
Solo Talk · Oversight: AI ROI · Palazzo Ballroom D
Speakers: Tim O'Reilly (O'Reilly Media)
Page: https://ai4.com/sessions/grappling-with-the-bitter-lesson-a-roadmap-to-corporate-ai-adoption-and-strategi/

One of the hardest things in getting enterprise AI strategy to work is letting go of what you do today. "The bitter lesson" is Richard Sutton's name for the realization that the progress of AI makes many highly valued skills of today obsolete. But grappling with the bitter lesson is the forge of effective AI corporate strategy. What do you let go of? And what do you embrace? How do you get your employees to ride the whirlwind of AI rather than trying to race it? How do harness the skills and experience of all your employees - not just your AI superstars - to improve their effectiveness and to transform the products and services that you offer to your customers? I'll lay out a six point roadmap for effective AI adoption and its implications for strategy, a roadmap that has already produced enormous success for those who follow it.

### 3:00 PM–3:20 PM · Great (or Otherwise Memorable) Vendor Partnerships in 2026
Solo Talk · Aifails · Marcello Ballroom 4403
Speakers: John Polito (Airbnb, Inc.)
Page: https://ai4.com/sessions/great-or-otherwise-memorable-vendor-partnerships-in-2026/

In 2026, clients are comparing every vendor's offerings to the capabilities of now-commonplace frontier LLMs and general-purpose AI assistants. What are some hallmarks of software companies and technology consultants who show up as genuine, good-faith potential partners, ready to help clients grapple with that evaluation? In contrast, what behaviors may not only close the door on a deal but also lead a vendor to develop a lasting, not-so-great reputation? In this short presentation, hear one technology leader's views, distilled from some (suitably anonymized) real-world examples.

### 3:00 PM–3:20 PM · Human‑Centered Design for Responsible AI
Solo Talk · Inclusive AI · Titian Ballroom 2304
Speakers: Cinnamon Clark (Government Agency)
Page: https://ai4.com/sessions/human-centered-design-for-responsible-ai/

What happens when an AI system makes a decision about you that you don’t understand? If AI is shaping our workplaces, how do we make sure it actually works for the people in them? When technology makes choices at scale, who gets left out—and how do we fix it? AI is powerful, but it isn’t human, so how do we design it for humans? If AI influences opportunity, access, and fairness, what does it take to make those systems trustworthy?I will explain why human‑centered design matters now more than ever, especially as organizations rely on automated tools to make decisions that affect real people. The talk will include clear, practical ways to bring Diversity, Equity, Inclusion, and Belonging, accessibility, and civil‑rights alignment into each stage of the AI lifecycle so systems are understandable, fair, and supportive of everyone who uses them. Attendees will learn straightforward approaches for reducing bias, improving communication, and building AI tools that people can trust. The talk will encourage leaders to design AI with people at the center so technology strengthens—not harms—equity and belonging.

### 3:00 PM–3:20 PM · Presentation by Impart Security
Solo Talk · AI Agents (technical) · Titian Ballroom 2306
Speakers: Brian Joe (Impart Security)
Page: https://ai4.com/sessions/presentation-by-impart-security/

### 3:00 PM–3:20 PM · The AI Paradox: Using Public AI Without Exposing Enterprise Data
Solo Talk · Data Engineering · Lando Ballroom 4204
Speakers: Amjad Almonzer (Saudi Aramco)
Page: https://ai4.com/sessions/the-ai-paradox-using-public-ai-without-exposing-enterprise-data/

Public AI is powerful, but many enterprises hesitate to use it because of the risk of exposing private or sensitive data. This talk will explore how organizations can benefit from tools such as ChatGPT, Gemini, and other AI agents without sacrificing data privacy. It will introduce a U.S. patent-pending operating model that combines prompt management, privacy guardrails, and controlled AI-agent execution. Attendees will learn how this model can help reduce data leakage risk while enabling safer and more practical enterprise AI adoption. The talk will provide a clear view of how companies can unlock public AI capabilities while keeping enterprise data protected.

### 3:00 PM–3:20 PM · The Co-Intelligent Enterprise
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Rohit Jain (Harvard Business School Alumni Association)
Page: https://ai4.com/sessions/the-co-intelligent-enterprise/

This 30-minute solo session gives technology leaders a practical playbook for moving from experimentation to execution. The session reframes AI as enterprise infrastructure: embedded in the flow of work, connected to core systems, governed at the platform level, and measured through business outcomes rather than activity metrics. It also introduces a human-led model of co-intelligence, where people set direction, guardrails, trade-offs and accountability while AI agents execute bounded work at speed.Attendees will learn how to evaluate AI platform readiness, reduce tool fragmentation, govern agentic workflows, prioritize high-value use cases, and redesign work without defaulting to fear-based workforce narratives. The session connects enterprise architecture, responsible AI, workforce transition and ROI into one CIO-ready framework.The key takeaway: CIOs will not win the AI era by buying more intelligence. They will win by designing the system that converts intelligence into trusted, governed and measurable enterprise value.Audience takeaways• A practical architecture for scaling AI beyond pilots• A governance model that embeds control into the platform, not just training• A workforce transition lens for automation, redesign and growth• A 90-day action plan with scorecards for adoption, value, quality, risk and workforce impact

### 3:00 PM–3:20 PM · The Rise of AI in Film Production: How Machine Learning is Changing Storytelling
Solo Talk · Emerging Parallel Technologies · Marcello Ballroom 4404
Speakers: Jack McCauley (UC Berkeley)
Page: https://ai4.com/sessions/the-rise-of-ai-in-film-production-how-machine-learning-is-changing-storytelling/

Explore how AI tools are utilized in scriptwriting, editing and visual effects to enhance the filmmaking process.

### 3:00 PM–3:20 PM · This is Your Enterprise on Agents: Learnings from the Field
Solo Talk · AI Agents: Deployment At Scale · Venetian Ballroom H
Speakers: Joel Johnson (LangChain)
Page: https://ai4.com/sessions/this-is-your-enterprise-on-agents-learnings-from-the-field/

Agentic AI has dramatically expanded the scope of who can meaningfully influence the success and performance of AI systems within your organization, which presents both challenge and opportunity. In this session, Joel Johnson (Deployed Engineer; MS Computer Science (AI), MBA -- Stanford University) will highlight critical lessons learned through LangChain's Agent Development Lifecycle and the newly released Agentic Operating Model. This talk goes beyond just the tech and offers practical insights on how to align people and processes to complement, not conflict with, your enterprise's Agentic initiatives.

### 3:00 PM–3:20 PM · Your Agent's Output Is a Hypothesis
Solo Talk · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Josh Holt (Optimizely)
Page: https://ai4.com/sessions/your-agent-s-output-is-a-hypothesis/

Getting AI agents to act is mostly solved but trusting what they did isn't. Agents fail in a way software doesn't: confidently, returning a wrong answer that looks right. I build AI agents inside an experimentation platform, and the verification method everyone else is building from scratch was already sitting in my product: the A/B test. An agent's output is a hypothesis, and a controlled experiment is how you learn whether it's true. Unlike an AI grading an AI, a measured outcome can't be talked into a wrong answer. This talk is what building trustworthy agents taught me: treat every output as a hypothesis, match verification rigor to the cost of being wrong, and let measured outcomes, not confidence, close the loop.

### 3:00 PM–3:40 PM · Your AI Is on the Street Now: Adversarial Threats to Edge AI Systems in Physical Environments
Solo Talk · Edge AI & Tiny ML (technical) · Delfino Ballroom 4103
Speakers: Subba Bachina (Lenovo); Igor Stolbikov (Lenovo)
Page: https://ai4.com/sessions/your-ai-is-on-the-street-now-adversarial-threats-to-edge-ai-systems-in-physical/

AI assistants are rapidly moving from controlled cloud environments into your personal life — embedded in phones, laptops, and AI PCs, reading your screen, files, inbox, camera, and microphone. Once deployed on a personal device, they're no longer protected by cloud perimeters or centralized monitoringThis talk examines adversarial attacks against on-device AI assistants in real-world personal environments. We explore how attackers exploit the assistant's inability to distinguish content it reads from commands it should obey — through poisoned documents and email, inaudible ultrasonic voice commands, and instructions hidden in images. We then look at what happens when a hijacked assistant can act: silent exfiltration through its own legitimate tools, memory poisoning, and privilege pivot. Unlike prompt attacks on chatbots, these arrive through vision, audio, and ordinary content the assistant was designed to process.From a red-team perspective, we analyze why common safeguards fail. Secure boot and encrypted storage don't help when the vulnerability is the feature, not a flaw. Input sanitization is blind to instructions living in pixels and near-ultrasound. And the frontier labs now concede what practitioners already knew: prompt injection cannot be fully solved within today's architectures.So we shift from prevention to containment: separating content from command, enforcing least privilege to break the "lethal trifecta" of private data, untrusted content, and an exfiltration channel, and gating releases on continuous adversarial testing. Attendees will leave with a practical threat model for adversarial AI on personal devices — and guidance for securing assistants before they're deployed "on the street."

### 3:20 PM–3:35 PM · Inside the Incident: How Agents Are Rewriting the SRE Playbook
Agentic Live Demo · Agentic Live Demos · Halls B&C
Page: https://ai4.com/sessions/inside-the-incident-how-agents-are-rewriting-the-sre-playbook/

When something breaks in production, the real cost isn't downtime — it's the "context tax": the endless re-explaining and re-orienting every responder pays just to catch up. In this session, I'll show why that tax is the hidden drag on every incident response, and how AI agents can absorb it across the full lifecycle, from detection to retrospective. I'll walk through a live incident where Intelligent Alert Grouping collapses a noisy alert storm into a single page, SRE Agent surfaces root cause and similar past incidents the moment a Slack channel spins up, and automated workflows escalate priority and loop in coordinators without a manual handoff — while Scribe Agent transcribes the call in real time so a late-joining commander can get oriented with a single request. You'll see the incident through to resolution, including the remediation recommendation and rollback, and watch the entire episode — chat, transcript, diagnosis, outcome — compile automatically into a post-incident review. Join me to see what it looks like when your team spends its time solving problems instead of assembling the puzzle first.

### 3:25 PM–3:45 PM · Agentic Growth: From Analytics That Report to Agents That Act
Solo Talk · AI Agents: Foundation & Strategy · Venetian Ballroom F
Speakers: Chris Han (ThinkingAI)
Page: https://ai4.com/sessions/agentic-growth-from-analytics-that-report-to-agents-that-act/

Every enterprise has spent a decade buying analytics that tell them what already happened. The winners in the nextdecade will be the ones that close the gap between insight and action, automatically. Join ThinkingAl Co-FounderChris Han for a clear-eyed look at Agentic Growth, the move from dashboards that report on your business toautonomous agents that run it, analyzing behavior, diagnosing root causes, and executinggrowth and operationsdecisions in real time. Chris will show where autonomy delivers outsized returns, where humans stay in the loop, andhow to keep your data sovereign and compliant when Al is making the calls. If your team is drowning in reports butstarving for outcomes, this is the session to catch.You'll take away：• The shift from reporting to operating: a practical framework for agentic growth• Where autonomy pays off across growth and operations, and where humans stay in the loop• Sovereign, compliant Al: acting on your data without giving up control

### 3:25 PM–3:45 PM · AI Harm Is Everyone's Business: Why Every Industry Needs to Understand Where Its Responsibility Begins
Solo Talk · Manufacturing · Venetian Ballroom E
Speakers: Stephanie Hall (Zero Abuse Project)
Page: https://ai4.com/sessions/ai-harm-is-everyone-s-business-why-every-industry-needs-to-understand-where-its/

Every product has a supply chain, and it turns out harm has one too. When AI is used to cause harm, it moves through a chain of companies: one builds the tool, one hosts it, one sells it, one processes the payment, one's platform spreads it, and someone far downstream responds to the damage. This talk maps that chain using one of the clearest and most urgent examples available: AI-generated child sexual abuse material. I serve as Technology and Innovation Lead at Zero Abuse Project, a national child protection nonprofit, where I develop AI training for the investigators, prosecutors, and child protection professionals who respond at the end of that chain. In my field we say that child abuse prevention is everyone's business, and this session extends that same principle to AI: attendees will learn a practical framework for locating their organization's link on any chain of AI harm, plus three questions to bring back to their leadership. Whatever your industry, your organization sits somewhere on one of these chains. This session will help you find your link and understand what responsibility looks like there.

### 3:25 PM–3:45 PM · Building the Enterprise AI Operating System: Turning AI into an Organizational Capability
Solo Talk · Data Engineering · Lando Ballroom 4204
Speakers: Valeh Nabiyev (Bir Ecosystem)
Page: https://ai4.com/sessions/building-the-enterprise-ai-operating-system-turning-ai-into-an-organizational-ca/

Most AI initiatives don't fail because of the technology—they fail because organizations aren't designed to scale them. In this session, I'll introduce the Enterprise AI Operating System: a practical framework for turning AI into an organizational capability and creating business value at scale.

### 3:25 PM–3:45 PM · Presentation by ASUS
Solo Talk · Infrastructure: Cloud Data Centers & Compute · Lando Ballroom 4203
Speakers: Brian Ngo (ASUS)
Page: https://ai4.com/sessions/presentation-by-asus/

### 3:25 PM–3:45 PM · Space & AI - The Giant Leap Transformation / Fireside Chat with Heather Pringle, Space Foundation
Fireside Chat · AI Agents Applications & Use Cases · Venetian Ballroom D
Speakers: Heather Pringle (Space Foundation); Rafe Uddin (Financial Times)
Page: https://ai4.com/sessions/space-and-ai-the-giant-leap-transformation-fireside-chat-with-heather-pringle-sp/

Data has always been part of space activities. It is the ultimate ingredient by which planners and participants can take the next giant leaps for exploration, enhanced Earth and universe understanding, increased infrastructure and operating performance and ultimately critical mission success. With the rise of AI, all of these space data dividends have force multipliers that expand greater possibilities and impact as more countries, companies and communities engage with space. As CEO of Space Foundation, Heather Pringle, Maj General, USAF, (ret.), PhD is a leading voice on the issues and environments that are shaping today’s and tomorrow’s global space ecosystem. Today there are more than 90 countries with active space operations and more are looking to define and expand their place with space every day. Further expanding the aperture of space capabilities are the hundreds, if not thousands of space companies supplying critical services, providing capabilities, driving innovations – all impacting and benefiting life on Earth. But of all of the revolutionary technologies that are shaping our present and future with space, none of them will be more transformative than AI. With the global space economy forecast to surpass $1Trillion in the early 2030’s, countries and companies will find themselves even more dependent on space reliant operations, architectures and providers for security, commerce, innovation, job creation, education and more. AI will be what distinguishes and transforms all of these activities at every imaginable level. In this fireside chat, Heather will share those drivers and challenges and how they will shape our return to the Moon; support national security; expand global commerce and competition; and forever transform our connection to space.

### 3:25 PM–3:45 PM · The Intersection of Blockchain and AI
Solo Talk · Emerging Parallel Technologies · Marcello Ballroom 4404
Speakers: Scott Zoldi (FICO)
Page: https://ai4.com/sessions/the-intersection-of-blockchain-and-ai/

AI has a trust problem. Research shows that most Americans are more concerned than excited about AI in daily life, and that concern is well-founded: without proper governance, AI models can introduce bias, produce unexplainable outcomes, and be nearly impossible to audit after the fact. To build genuine trust in AI, organizations must ensure that their models are interpretable, auditable, and enforceable, and blockchain technology offers a practical, operational path to achieving all three. In this session, I will discuss how FICO uses blockchain-based AI models to help reduce hallucinations, while ensuring adherence to our Responsible AI standards. By embedding governance rules directly into a private blockchain, we have created an immutable record of every decision made throughout the model development lifecycle, from variable selection and algorithm approval to ethics testing and final sign-off.

### 3:25 PM–3:45 PM · The Room Was Built Without Us. Here's How We Change That
Solo Talk · Inclusive AI · Titian Ballroom 2304
Speakers: Wendy Forsythe (eXp Realty)
Page: https://ai4.com/sessions/the-room-was-built-without-us-here-s-how-we-change-that/

Women are building AI. They're deploying it, scaling it, and governing it — and they're still underrepresented in the rooms where the biggest decisions get made. This isn't a pipeline problem. The pipeline is full. In this session, Wendy Forsythe — CMO of eXp Realty and a practitioner of AI-led business transformation — makes the case that advancing women in tech leadership requires a fundamentally different strategy. Drawing on real data about women who built billion-dollar companies from scratch, she challenges the assumptions holding talented women back and delivers three concrete moves attendees can act on immediately. The future of AI is being built by women. It's time the leadership structures reflected that.

### 4:00 PM–5:00 PM · Closing Keynote Sessions
Keynote · Keynote · Hall A - Keynotes
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDQwMDQxMg==

### 4:10 PM–4:30 PM · Building an AI-Native Company at Global Scale
Keynote · Keynote · Hall A - Keynotes
Speakers: Nathan Bomey (Axios); Praveen Neppalli Naga (Uber)
Page: https://ai4.com/sessions/building-an-ai-native-company-at-global-scale/

As AI becomes foundational to how businesses operate, industry leaders have shifted from experimentation to execution. This fireside explores what it takes to embed AI at true scale, from engineering to non-technical functions, how to asses meaningful ROI, and how advances in AI and autonomy are shaping the future of transportation – with the potential to positively impact millions of people's lives around the world.

### 4:31 PM–4:51 PM · The Future of AI Depends on Perfect Search
Keynote · Keynote · Hall A - Keynotes
Speakers: Will Bryk (Exa)
Page: https://ai4.com/sessions/the-future-of-ai-depends-on-perfect-search/

Why? Because even opensource models, like Kimi K3, are now intelligent enough for most knowledge work in the enterprise. The differentiating factor between companies and products is the data these intelligences have in their context. And search is meant to filter all the world's data into exactly the context that's needed.The problem is that traditional search engines were not built for AI, they were built for humans. Humans search for links and click on a couple of them. In contrast, agents want to search for raw data and can consume thousands of results instantly. And then there's the scale that's required -- the number of searches from AI systems will be 1000x more than humans in a few years.The world needs search rebuilt from the ground up for AI. This talk covers how we've already started to do that, how thousands of companies are using this infra, and how perfect search is ultimately what every enterprise needs.

### 4:52 PM–5:12 PM · AI Is Not Value-Neutral. Now What?
Keynote · Keynote · Hall A - Keynotes
Speakers: Chloé Bakalar (Former AI Ethics Lead, OpenAI & Former Chief Ethicist, Meta)
Page: https://ai4.com/sessions/ai-is-not-value-neutral-now-what/

Every AI system reflects decisions about what to optimize, how to measure success, which tradeoffs to accept and how a product should behave. At scale, even small choices can shape what becomes easier, harder or possible for millions of people. In this keynote, Chloé Bakalar draws on a decade of applied AI ethics experience in industry and academia to examine how companies can make the values behind those choices explicit, consistent and defensible, and carry them through measurement, evals, model behavior, product design and deployment.

### 9:00 PM–11:00 PM · Ai4 Official Afterparty
Meetups & Receptions · TAO Nightclub
Sponsors: 1mind, Dell Technologies, Lightning AI, Optimizely
Details: https://ai4.app.swapcard.com/event/ai4-2026/planning/UGxhbm5pbmdfNDQwMDQwOQ==