Beyond Data: Why Context Intelligence Is the Missing Link in AI Success with Guy Vorster from Reltio

Abstract: In this episode of Data Forward, Ramon Chen sits down with Guy Voster to explore why AI initiatives are failing—not due to a lack of data, but a lack of context. As enterprises race to adopt AI, the conversation is shifting toward context intelligence—understanding where data comes from, what it means, and whether it can be trusted. Ramon and Guy unpack how unified, entity-centric data combined with semantics and real-time delivery creates a reliable foundation for both humans and AI agents. They also dive into: Why AI without context leads to confident—but incorrect—decisions The role of master data management and data observability in building trust How fragmented data environments create risk for AI-driven automation What it takes to move from raw data to actionable, context-rich intelligence This episode is a must-listen for data and AI leaders looking to bridge the gap between data, meaning, and action in the age of intelligent systems.