Data Science Wire

Context vs control: Why you need both

Collibra BlogSep 104 min read

Enterprise AI conversations tend to focus on one of two priorities. One says the priority is context: give agents better data, clearer definitions, a real understanding of the business. The other says the priority is control: visibility, ownership, policy enforcement, the ability to audit what an agent did and why. Both camps are right. Neither is sufficient on its own. Context without control is exposure. Control without context is paralysis. And most enterprise AI programs are…

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