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Practical Governance for Enterprise AI

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Model Registry

A model registry is a centralized repository that catalogs, versions, and manages machine learning models throughout their lifecycle, from development through production deployment. In enterprise AI governance, it provides critical traceability by recording model lineage, performance metrics, training data sources, and approval workflows, enabling organizations to maintain audit trails and demonstrate compliance with regulatory requirements. Model registries are essential for managing model governance at scale, reducing risks associated with undocumented or rogue AI systems, and ensuring that only validated and approved models are used in business-critical applications.

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