Enterprise AI doesn’t fail because of models — it fails because of data.

In this episode of Utilizing AI, Stephen Foskett and Brad Shimmin are joined by Ken Yagan, Chief Product Officer at CData, to explain why robust data foundations are critical for AI success.

The discussion focuses on the real challenges enterprises face today: fragmented data environments, limited access, inconsistent quality, and lack of trust. The panel breaks down why governance, security, and a strong semantic layer are essential for making AI usable at scale. They also explore how data connectivity and agility determine whether AI initiatives move into production or stall out.

This episode delivers a practical look at what organizations must fix in their data strategies before expecting AI to deliver real value.

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