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.
⚡ 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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Originally reported by Towards AI