In this Automation World podcast as we connect with Mark Derbecker, co-founder and chief product officer at Seeq, to discuss how exploring context, traceability and governance can give engineers confidence to act on AI-driven insights. As manufacturers move AI closer to consequential operational decisions, we will explore what it actually takes to close that gap: grounding AI in engineering context, making recommendations traceable back to operational data, and treating governance as an enabler rather than a roadblock. Finally, we dive into why the goal shouldn’t be removing engineers from the loop, but giving them AI insights they can validate, defend and confidently act on.
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