Data management is experiencing a resurgence in relevance due to the widespread adoption of AI. The author argues that data management provides the essential organizational and process foundation that AI initiatives require to succeed at an enterprise level. This includes crucial aspects like data governance, quality, architecture, and metadata, which are fundamental for effective AI deployment and adoption. AI
IMPACT Data management frameworks are becoming critical for successful AI adoption, providing the necessary organizational structure and governance.
RANK_REASON Opinion piece by an industry expert discussing the evolving role of data management in the context of AI.
- Data Management Lab Framework
- FIT Group
- Forbes
- MIT
- Nino Letteriello
- United Nations
- World Economic Forum
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