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Most manufacturers start with software selection. Our panel says that's exactly backwards. In this roundtable clip, manufacturing technology veterans tackle the real bottleneck blocking AI and digital transformation adoption on the plant floor: data strategy. And they make a provocative case — get your data right first, and you can change your entire software strategy. What's covered in this discussion: → Why AI and LLM adoption in manufacturing stalls before it starts (hint: it's a data availability problem) → Where manufacturers sit on the digital maturity curve — and how to honestly assess where you are → Why the best digital transformation adopters have learned to "fail quickly" and pivot → How a strong data strategy finally makes best-of-breed software selection viable → The evolution of manufacturing technology thinking: from systems-centric → data-centric → process-centric → Why the way you work in Excel today is not how you should be working in a system tomorrow The uncomfortable truth: connecting systems is no longer the hard part. It's knowing what business outcome you're actually trying to drive — and designing your processes around that — that separates successful implementations from expensive ones. Relevant for: Manufacturing operations leaders, IT/OT teams, digital transformation project owners, and anyone evaluating APS, MES, ERP, or AI initiatives in a production environment. 🔗 Learn more about On Time Edge: https://www.ontimeedge.com 00:00 - AI adoption and the data availability problem 00:31 - Where is manufacturing on the maturity curve? 00:53 - The right data strategy can change your entire software approach 01:22 - Why "fail quickly" is a competitive advantage 01:45 - Best-of-breed solutions are finally viable — with the right foundation 02:33 - AI won't guarantee results without process clarity 03:01 - The shift: from data centricity to process centricity #ManufacturingAI #DigitalTransformation #DataStrategy #APS #AdvancedPlanningAndScheduling #MES #Interoperability #ManufacturingOperations #AIinManufacturing #OnTimeEdge