Many organizations are investing in AI, but data alone is not enough. As businesses move from analytics to AI agents, they need business context to understand what information can be trusted, which rules apply, and how decisions should be made. Without that context, AI agents risk delivering inaccurate or inconsistent results.
In this Apgar on Air session, Conrad Chuang, Kash Mehdi, and Alaa Hoblos explore why Context Intelligence is becoming a critical layer between enterprise data and AI. Learn how metadata, data governance, master data, reference data, and lineage can help organizations build AI systems that are more reliable, scalable, and business-ready..
