Despite all the AI hype, many projects crash and burn (we’re talkin’ 70-80% of them!) due to avoidable mistakes—poor data quality, unrealistic expectations, and lack of proper planning. And these failures? They’re not just frustrating—they’re expensive.
The good news? AI success isn’t magic—it’s method.
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