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740 Fixing AI failure: Three changes enterprises should make now

VentureBeat
VentureBeat 3 place · 03/15/2026 15:00 EDT

Recent reports about AI project failure rates have raised uncomfortable questions for organizations investing heavily in AI. Much of the discussion has focused on technical factors like model accuracy and data quality, but after watching dozens of AI initiatives launch, I’ve noticed that the biggest opportunities for improvement are often cultural, not technical.Internal projects that struggle tend to share common issues. For example, engineering teams build models that product managers don’t know how to us

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