The First Step Many AI Projects Skip Before They Begin

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2026-07-22 07:36:58

Most failed AI projects don't fail because the model was bad. They fail because nobody stopped to properly define the problem before jumping straight into building something. A team gets excited about a use case, picks a tool or vendor, and starts development — only to discover months later that the underlying data wasn't ready, the use case wasn't actually well-suited to AI, or the...

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