Organizations are facing a trust gap in AI adoption due to inadequate data governance, not model accuracy. Relying on external AI providers for security and governance creates structural risks, as advanced AI agents can expose unmanaged internal data. True AI trust must be built internally through robust data governance and ownership of the AI stack, rather than depending on third-party safeguards. AI
IMPACT Highlights the critical need for internal data governance to enable safe and effective enterprise AI deployment.
RANK_REASON Opinion piece by an industry executive discussing AI adoption challenges.
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