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Don’t surrender data control in pursuit of intelligence

Organizations chasing AI intelligence are quietly handing their most valuable asset to vendors. Here's what that costs.

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People, judgement and the changing nature of work.AI illustration by KeyNews
The KeyNews take

Why it matters

As enterprises centralize AI operations, a critical governance question emerges: who owns and controls the data flowing through these systems? This speaks to a broader risk that leaders need to address in their AI adoption strategy before vendor lock-in becomes irreversible.

The key facts

7 to know
  1. Data ownership vs. intelligence extraction trade-off emerging as central concern

  2. Organizations restructuring around AI at enterprise core

  3. Tension between cloud/vendor access and data control highlighted as strategic risk

  4. Organizations shifting from data-as-valuable to data-as-means-to-intelligence

  5. Data ownership and control emerging as central concern in enterprise AI adoption

  6. Risk of vendor lock-in with AI and cloud providers

  7. Data governance as strategic business decision, not just compliance issue

Go to the source

SiliconAnglesiliconangle.com

Publisher excerpt: With organizations reorganizing themselves to put artificial intelligence at the center, we’ve seen a shift from information being valuable to being a means of achieving intelligence, which is far more important. But what happens to organizations’ data when they adopt AI? Do they keep it or turn it…
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