Escape the AI Graveyard: Fixing Data and Machine Learning Failures
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Most AI projects fail to deliver ROI, with only 25% meeting expectations and 16% scaling enterprise-wide. Three key strategies prevent failure: start with a clear business problem and measurable outcomes rather than technology; secure early stakeholder buy-in by communicating value in terms relevant to each role; and plan for production deployment from day one, including monitoring and model retraining. Models that remain in notebooks without production deployment deliver no real value.
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