Industry experts break down why data standardization, not model-building, is the real bottleneck to AI-driven waste reduction, from siloed IT and OT departments to inconsistent naming conventions across plants. The piece traces real-world wins in predictive maintenance and packaging-line bottleneck diagnosis, while making the case that scaling these gains enterprise-wide starts with people and governance, not more technology.
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