From Documents to Discovery: How Ancestry’s Enterprise AI Drives Customer Value at Scale
About this session
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.
Speakers
- Sriram ThiagarajanChief Technology Officer & EVP, Product and Technology, Ancestry
- Gideon Lewis-KrausTechnology Writer, The New Yorker
Tracks
- CAIO