For decades, the data industry optimized structure: schemas, pipelines, catalogs, governance. But structure alone never captures shared understanding, a gap that was manageable with humans in the loop. AI changes the equation. When models and agents consume data directly, ambiguity becomes a failure mode. The “why” behind the data, such as business intent, context, or trust, lives in people’s heads, not in tables or APIs.

This is where Semantic Intelligence comes into play. Far beyond a catalog, this approach encodes meaning across the spectrum of information systems. Business concepts, relationships, and intent are all captured so that humans and machines can reason correctly over the same data.

Register for this Briefing Room to hear Analyst Malcolm Chisholm explain why metadata holds the keys for Semantic Intelligence, and consequently success with AI. He will be joined by Suresh Srinivas, Co-Founder and CEO of Collate, and previously Co-Founder of Hortonworks and former Chief Architect of Data Platform at Uber. He will demonstrate the power of a semantic graph for enabling the long-sought cohesion of enterprise information management.