Five reasons why AI projects fail in manufacturing
Manufacturing AI projects fail at a rate of 76.4%, according to Folio3 AI, and 84% of those failures trace back to leadership decisions rather than technical limitations (Labor411). IIoT World documented the five most common root causes based on practitioner discussions: data quality, limited generalizability, neglecting human-centric tasks, unclear ROI targets, and internal buying friction. […]
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