This whitepaper explores how data governance is evolving in response to AI-driven complexity, multi-cloud environments, and exponential data growth. It discusses challenges such as data sprawl, inconsistent definitions, and limited visibility across data ecosystems. The paper introduces modern approaches including data fabric, business glossaries, automated lineage, and stewardship models. It emphasizes that governance must be operationalized, not treated as a one-time initiative. The paper concludes that organizations investing in continuous governance programs can improve compliance, trust, and agility while enabling AI and advanced analytics initiatives.

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