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TDWI Articles

Data Digest: Modern Data Governance

Implementing successful governance programs and governing data for AI.

 

Data Governance Needs Revision

Gartner predicts that by 2027, 80% of data and analytics governance initiatives will fail, emphasizing the need for governance focused on business outcomes.

Read more at SME Street


Data Governance for Governments

The success of AI programs in the public sector is heavily dependent on the quality of data and the maturity of data governance, but many U.S. states are still in the early stages of establishing effective governance structures.

Read more at Government Technology


Governing Data for AI

Robust data governance and security practices for ensuring data integrity, compliance, and protecting against misuse are critical for AI readiness.

Read more at Forbes



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