Manufacturers are under pressure to make faster, better operational decisions as experienced workers retire and critical process knowledge remains undocumented. The AI challenge is not just adopting new tools—it is capturing expert knowledge, contextualizing operational data, and turning both into scalable decision capital.
Moving AI from experimentation to real operational value across manufacturing, reliability, process optimization, and decision support remains tricky for many manufacturers. Concerns around data readiness, trust, governance and change management are often cited as key blockers.
So which operational use cases are gaining the most traction when it comes to AI adoption right now? How do organizations overcome the primary challenges in terms of realizing real operational impact? And where do manufacturers need to focus in order to make real, measurable progress over the next 12 months?
Join this virtual roundtable, in partnership with Seeq, to gain practical insight into the risks, opportunities and strategies shaping the future of industrial performance – and how peers are thinking about these challenges today.
Seeq is a leader in industrial AI, analytics, and decision intelligence, helping manufacturers turn complex operational data into faster, better decisions at scale. Seeq helps organizations preserve expert knowledge, improve performance, and scale operational insight across sites so teams can act with more speed, consistency, and confi dence.
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Access to industry leading like-minded executives tackling similar initiatives
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Collaborate and network to gain expertise and experience on how to best act and succeed
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In-depth face time with the world’s leading tech companies pushing the boundaries to solve your challenges