💼 AI Business

Enterprise AI's Dirty Secret: Data That Can't Think

C-suites bet the farm on AI. Get back charts from hell. Blame? Not models—your data's semantically illiterate.

Confused executive staring at chaotic AI data dashboard in boardroom

⚡ Key Takeaways

  • Enterprise AI fails on dumb, unstructured data lacking semantics—not broken models.
  • Semantic layers and knowledge graphs promise fixes, but scale's a nightmare echoing Semantic Web flops.
  • Audit your data first; billions wasted otherwise in hype-fueled cycles.

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Elena Vasquez
Written by

Elena Vasquez

Senior editor at theAIcatchup. Generalist covering the biggest AI stories with a sharp, skeptical eye.

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Originally reported by Towards AI

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