That data depth vs energy trade-off is real.
@fogoros
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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
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Factory Design Meets Automotive Simulation: Which Manufacturers Adapt First?
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When factory design gets the automotive simulation treatment, which manufacturers will adapt first? @IIoT_World @CRudinschi @agentic_factory
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Automotive Factory Simulations Validation Approach Scales Successfully
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We do not generally validate factory simulations today, but automotive proves the validation approach works at scale.
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AI Simulation Slashes Car Crash Testing Costs by Millions
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Physical car crash testing used to cost roughly a million dollars per prototype with only a couple tests possible.
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Manufacturing Simulation Transforms Factory Planning with AI
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Manufacturing is about to get its automotive simulation moment. Partner content with Siemens.
— Lucian Fogoros (@fogoros) 4 avril 2026
Tens of thousands of factory variations tested digitally for optimal human-robot-machine interaction before you build. The planning process changes everything. #sie_di #SiemensSDX. pic.twitter.com/Zb5MYuX5zMManufacturing is about to get its automotive simulation moment. Partner content with Siemens.
Tens of thousands of factory variations tested digitally for optimal human-robot-machine interaction before you build. The planning process changes everything. #sie_di #SiemensSDX. -
Synthetic Data Reduces Defect Detection Training from Months to Hours
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Training time collapsed from months to hours using generative synthetic data instead of collecting real defect samples.
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Humans Shift to Augmented Decision Making with AI Support
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The role of humans shifted from data entry and passive monitoring to augmented decision making with just-in-time support.
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Industrial AI: Real-Time Prevention vs Legacy Batch Processing
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Legacy AI: retrospective batch data, centralized cloud, thousands of defect images.
— Lucian Fogoros (@fogoros) 4 avril 2026
Industrial AI: real-time context, liquid edge computing, 10 synthetic samples.
One tells you what happened. The other prevents it. pic.twitter.com/O485aUwtLELegacy AI: retrospective batch data, centralized cloud, thousands of defect images.
Industrial AI: real-time context, liquid edge computing, 10 synthetic samples.
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CISOs Prioritize OT/IT Convergence for Enhanced Security
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More CISOs are looking at OT/IT convergence seriously. CC: @IIoT_World @CRudinschi @agentic_factory @survivingwithan @joannefriedman @bzarkout