Context Graph vs. Knowledge Graph: What the Market Gets Right (and Where It Stops Short)

​“Context graph” has become one of the most widely used and inconsistently defined terms in enterprise AI this year. In this session, you will learn the definition gaining the broadest acceptance across the market and how context graphs add traceability to the semantic layer required for trusted enterprise AI applications.

​Relationships alone are not sufficient for AI that reasons, decides, and acts reliably at scale. Join us for a discussion with Ravi Marwaha, Chief Technology Product Officer at Arango. We will explore what it takes to unify meaning, bi-temporal state, trust, and explainability so that every agent operates from the same version of business reality. You will also see a live demonstration of Arango’s Contextual Data Platform and discover what a governed contextual data layer can surface.

​More info on https://arango.ai/