Treat governance as a product
Design AI data governance as a usable service with users, promises, and feedback loops.
The move: design governance like a service people can successfully use. Governance is not the meeting. It is the decision system that lets data be used with the right accountability, quality, privacy, and risk controls. DAMA-DMBOK makes governance central because it coordinates the rest of data management. But central does not mean heavy. For AI work, governance must be visible, predictable, and proportional. Users AI teams need to know what path applies to their use case. Business data owners need to know what they are accountable for. Legal, privacy, and security need evidence without attending every project meeting. Promises A…
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