This report outlines five pillars for governing modern data and AI assets: ensuring integrity, trust, and transparency; prioritizing security and privacy; focusing on compliance and auditability; balancing discovery and governance; and upholding ethics and data protection. It stresses automating data quality, lineage, and monitoring with catalogs and AI tools, securing data with masking and role-based controls, and preparing for regulations like the EU AI Act. Ethical practices require managing bias, explainability, and fairness. Combining modern platforms with governance frameworks helps organizations scale data use responsibly.

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