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AnalysisGovernance, catalog & semantic layer
DataRobot Blog · Read source ↗

The article discusses the concept of 'govern natively, federate outward' in the context of AI agents, focusing on how agents maintain their identity across systems and the governance rules that determine their actions. It explores questions about the location of these rules and who has the authority to set them.

MyDataWork POV — The idea of governing natively while federating outward is a smart move as it acknowledges the interconnected nature of modern enterprise systems. By allowing each AI agent to maintain its identity across trust domains, we create a more seamless integration between disparate systems. This not only enhances interoperability but also offers a practical solution to the age-old governance conundrum: central control versus local autonomy. This approach respects the complex web of dependencies and workflows that real-world data work thrives on.
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