This broken feedback loop explains why many industrial AI deployments fail to expand beyond pilot programs.
@fogoros
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Scaling AI in manufacturing via digital twin operational expertise
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TwinThread runs over one million digital twins that deliver operator expertise to every shift, showing AI scale in manufacturing operations.
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Industrial AI in Production: Case Studies and Results
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The Industrial AI in Production booklet documents how six companies achieved production results across the full AI stack.
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Importance of Data Validation for AI Predictive Maintenance Systems
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The moment document content reaches a digital twin or predictive maintenance algorithm, that system treats the content as fact – validation must happen before.
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Amazon Nova Enables Anomaly Detection Without Large Training Datasets
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Traditional computer vision needs large image datasets to train defect detection models. Amazon Nova changes that equation by comparing a reference image against a live production line image to identify anomalies, no massive training set required. #PhysicalAI #HM26 #aws_ai @AWS pic.twitter.com/nKg0AXZ3Kx
— Lucian Fogoros (@fogoros) 11 mai 2026Traditional computer vision needs large image datasets to train defect detection models. Amazon Nova changes that equation by comparing a reference image against a live production line image to identify anomalies, no massive training set required. #PhysicalAI #HM26 #aws_ai @AWS
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AI captures knowledge as operator tenure declines
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When average operator tenure falls below 2 years, the knowledge that once lived in workers' notebooks has to live somewhere else. Capturing it in AI-driven software and using it to continuously guide the process is one answer manufacturers are already acting on. #twinthread_ai pic.twitter.com/rHC7l3nwe5
— Lucian Fogoros (@fogoros) 10 mai 2026When average operator tenure falls below 2 years, the knowledge that once lived in workers' notebooks has to live somewhere else. Capturing it in AI-driven software and using it to continuously guide the process is one answer manufacturers are already acting on. #twinthread_ai
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Georgia-Pacific’s AI Chatbot for Maintenance
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Georgia-Pacific built a maintenance chatbot called GP Chat on @AWS that gives engineers instant access to all available knowledge for diagnosing and solving problems on the shop floor. From condition-based monitoring to AI-assisted maintenance, the journey keeps evolving. #aws_ai pic.twitter.com/LSs7tIzXEJ
— Lucian Fogoros (@fogoros) 6 mai 2026Georgia-Pacific built a maintenance chatbot called GP Chat on @AWS that gives engineers instant access to all available knowledge for diagnosing and solving problems on the shop floor. From condition-based monitoring to AI-assisted maintenance, the journey keeps evolving. #aws_ai
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Flat Network Segmented with One-Way IT/OT Gateways
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The company was running a flat, unsegmented network before implementing one-way gateways between IT and OT systems.
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Hardware Data Diode Blocks Inbound Traffic to OT Production Systems
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Hardware-enforced one-way data transfer blocks all inbound traffic to production systems. Data flows out for monitoring. Nothing flows back toward OT. A Vietnamese chemical company eliminated communication vulnerabilities this way. Partner content with @OPSWAT. #opswat_ics pic.twitter.com/Z6Ovn1ddX1
— Lucian Fogoros (@fogoros) 5 mai 2026Hardware-enforced one-way data transfer blocks all inbound traffic to production systems. Data flows out for monitoring. Nothing flows back toward OT. A Vietnamese chemical company eliminated communication vulnerabilities this way. Partner content with @OPSWAT
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VIBO Vibration Sensor Runs On-Device FFT at 50 kHz
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Edge processing in vibration sensors computes diagnostics internally on the device. The VIBO sensor runs FFT at up to 50 kHz directly inside. Partner content with Tronics. #tronics_ai pic.twitter.com/8hSsW7gw3x
— Lucian Fogoros (@fogoros) 5 mai 2026Edge processing in vibration sensors computes diagnostics internally on the device. The VIBO sensor runs FFT at up to 50 kHz directly inside. Partner content with Tronics. #tronics_ai