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The industrial 4.0 stack on a manufacturing floor runs from sensors and computer vision up through AI models, software, cloud infrastructure, and operational workflows. Jason Schick at TDK SensEI says no single vendor covers all of that. You need multiple players, and you need them working together. IMTS 2026. Partner content with TDK SensEI. #TDK_iioT #IMTS2026
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18% of U.S. product cost comes from manufacturing delays and downtime alone. Neil Smith, Segment President for CPG at Schneider Electric, says the fix is not AI yet. #schneiderelectric_ai
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The highest-consequence failure on a melt-shop EOT crane is a main hoist bearing seizure with a suspended load. At the steel plant, that scenario became a single scheduled re-lubrication on 3 February 2026. Partner content with @AI4ProdOutcomes. #infinite_ai
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From detection to closed loop without a crisis in between. The bearing's condition was flagged, scheduled, and resolved in a single maintenance window.
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A plant running 20 or more vendors now faces each vendor deploying its own AI agent with its own access model. Without dedicated identity per agent, forensic investigation after an incident cannot determine which agent made which change. The audit trail must record who initiated the action, what permissions the agent held, what data informed the decision, how the agent executed the change, and what the outcome was, going far beyond a generic login entry in a CIS log. Partner content with @skkynetinc. #skkynet_ai
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99% of US manufacturers are confident AI will deliver ROI by 2030. But does that confidence match reality on the factory floor? Neil Smith, President of CPG Segment at Schneider Electric, points to World Economic Forum Lighthouse factories as proof of what is truly possible. #nei
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99% of U.S. CPG manufacturers are confident AI will deliver ROI by 2030. But confidence does not produce results. Manufacturers need to prioritize data platforming over new AI deployments. #schneiderelectric_ai
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Enterprise-wide data systems that contextualize operational data make AI deployments portable from site to site, line to line, and machine to machine, which separates a pilot from enterprise-wide scale.
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Simulation is one of the most powerful new forces in manufacturing today. Steve Pinto, President and CEO of TRAK Machine Tools, says it gives shops the opportunity to train, prove out a product, and hit the ground running with a new machine. Partner content with Siemens. #sie_imts
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IT/OT leaders in the AWS and HighByte framework answer questions about data architecture and integration strategy, not generic technology questions. The framework recognizes that architecture decisions determine whether AI can run at all. Partner content with @HighByteInc. #highbyte_iiot
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Maintenance teams within the framework evaluate their approach to equipment monitoring and failure prediction as a distinct readiness dimension from production or quality readiness.
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Eli Goldratt's theory of constraints says any optimization outside your main bottleneck makes things worse. Right now, manufacturing teams are building analytics on data that's still scattered across CSVs and disconnected systems. Matty Stratton says the real bottleneck is getting all of it into one place first. Partner content with @TigerDatabase. #tigerdata_ai #IMTS2026
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