Five reasons why AI projects fail in manufacturing
IIoT World documented the five most common reasons AI projects fail in manufacturing, based on practitioner discussions at the AI-Driven Process Optimization session. Data quality, limited generalizability, neglecting human-centric tasks, unclear ROI targets, and internal buying friction each derail projects that succeed technically but never reach production.Here are some common reasons why AI projects fail […]
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