Manufacturing execution is being reimagined. Curious about your take. @IIoT_World @CRudinschi @agentic_factory @TerenceLeungSF @chboursin @YarmolukDan
@fogoros
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Industrial IoT Maturity Acceleration: Industry Perspectives Sought
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Industrial IoT maturity is accelerating fast. Curious about your take on this. @IIoT_World @CRudinschi @agentic_factory @shyamvaran @MasterofIoT @survivingwithan
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First-Mover Advantage in Agent Strategy Market Opportunity
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The companies building agent strategies now will have first-mover advantages in the largest market opportunity ever.
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AI disruption impacts all knowledge work sectors simultaneously
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Previous tech disruptions hit individual sectors. This hits knowledge work across all industries simultaneously.
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Virtual employees target 50 trillion in knowledge worker value
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Virtual employees targeting $50 trillion in knowledge worker value. Partner content with Siemens.
— Lucian Fogoros (@fogoros) 5 avril 2026
This dwarfs every other technology disruption in economic scale.
The next two years will separate the prepared from the disrupted. . #sie_HM. pic.twitter.com/LlltgZYGzWVirtual employees targeting $50 trillion in knowledge worker value. Partner content with Siemens. This dwarfs every other technology disruption in economic scale. The next two years will separate the prepared from the disrupted. . #sie_HM.
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Data Integration Democratization Transforms Manufacturing Engineers into Data Engineers
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When data integration becomes as easy as configuring an HMI, every plant engineer becomes a data engineer.
— Lucian Fogoros (@fogoros) 4 avril 2026
The bottleneck shifts from IT skills to manufacturing insight.
Partner content with @HighbyteInc. #highbyte_iiot. pic.twitter.com/RRVk3TG5hoWhen data integration becomes as easy as configuring an HMI, every plant engineer becomes a data engineer.
The bottleneck shifts from IT skills to manufacturing insight.
Partner content with @HighbyteInc
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Energy-Efficient Sensor Networks in IoT Systems
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@antgrasso @KirkDBorne @Ronald_vanLoon @IIoT_World @CRudinschi @agentic_factory This thread touches on energy-efficient sensor networks. Worth a look.
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Balancing AI Model Accuracy with Minimal Energy Footprint
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High-level monitoring without battery drain addresses a key pain point. Hey, community, how do you balance the model's accuracy with keeping that footprint truly tiny?
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Data Depth Versus Energy Consumption Trade-off in AI
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That data depth vs energy trade-off is real.
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Tiny AI Models Balance Data Depth and Battery Life
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The trade-off between data depth and energy usage is a major industrial hurdle. Sundeep Ahluwalia, CPO, TDK SensEI, highlights how tiny-footprint AI models on the asset allow for high-level monitoring without draining the sensor's battery life. Sponsored by TDK SensEI. #tdk_iiot pic.twitter.com/i6sO4eKplW
— Lucian Fogoros (@fogoros) 4 avril 2026The trade-off between data depth and energy usage is a major industrial hurdle. Sundeep Ahluwalia, CPO, TDK SensEI, highlights how tiny-footprint AI models on the asset allow for high-level monitoring without draining the sensor's battery life. Sponsored by TDK SensEI. #tdk_iiot