Scaling Holistic Predictive Intelligence Pipelines with the Split-Brain Spiderweb Architecture

About this session

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.