Your AI Is Only as Smart as Your Data’s Context

Enterprises have spent decades mastering the “plumbing” of data – integrating, governing, and certifying information for reporting and analytics. But AI agents require something more: context.
They need the situational awareness, business logic, semantic relationships, and decision frameworks that humans naturally apply every day. Without this contextual foundation, AI remains limited to prediction and conversation – producing hallucinations, weak decisions, and unreliable automation.

This session introduces the Contextual Intelligence Layer – the critical bridge between enterprise data, large language models, and trustworthy autonomous execution. By combining Knowledge Graphs, Semantic Layers, and Active Metadata, organizations can create true Digital Twins of their business – transforming passive copilots into reliable, agentic systems capable of real decision support and action.

Learn how leading enterprises are moving beyond static data catalogs and flat vector embeddings to build AI systems grounded in business meaning, operational trust, and contextual intelligence.