As AI and data regulations expand worldwide, organizations need stronger governance to ensure information is accurate, traceable, secure, private, and responsibly used. This TDWI report outlines seven priorities: understanding evolving regulations, improving data quality, managing metadata and lineage, strengthening privacy and security, governing data throughout the AI lifecycle, extending governance to AI models and applications, and adopting responsible governance practices. It emphasizes automation, data observability, catalogs, fine-grained access controls, and cross-functional oversight to manage increasingly complex cloud, multi-cloud, and AI environments while supporting compliance, transparency, and trust.

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