15 employees. Kalamazoo, Michigan. Competing against offshore moldmakers on price and speed. And winning. Partner Content with Siemens
JK Machining cut mold delivery from 20 weeks to 11 using Siemens NX. Read the full story (link in the comments). #sie_hm #HM26
@fogoros
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JK Machining Cuts Mold Delivery Time Using Siemens NX
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Decentralized Manufacturing Captures Missed Opportunities
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The real cost of centralized manufacturing is the missed opportunities. Partner content with @Siemens.
— Lucian Fogoros (@fogoros) 23 avril 2026
While you ship Gatorade nationwide, competitors set up pop-up bottling at event venues, customize flavors locally, and capture surge demand you can't touch. #sie_us #sie_HM pic.twitter.com/ZtASLKAzgXThe real cost of centralized manufacturing is the missed opportunities. Partner content with @Siemens
. While you ship Gatorade nationwide, competitors set up pop-up bottling at event venues, customize flavors locally, and capture surge demand you can't touch. #sie_us #sie_HM -
Real-time vibration sensors with FFT frequency analysis
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#HM26: Talking with Julien Romala, Application Engineer at Tronics Microsystems, a TDK Group Company.
— Lucian Fogoros (@fogoros) 23 avril 2026
Sensors display both time signal acquisition data and FFT frequency analysis in real-time. This dual view lets operators see vibration patterns as they happen. #tronics_ai pic.twitter.com/48NIIy56ST#HM26: Talking with Julien Romala, Application Engineer at Tronics Microsystems, a TDK Group Company. Sensors display both time signal acquisition data and FFT frequency analysis in real-time. This dual view lets operators see vibration patterns as they happen. #tronics_ai
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Neura Robotics CEO Targets Autonomous Adaptive Manufacturing Robots
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The one problem Neura Robotics CEO wants to solve in manufacturing: robots that can't handle the unexpected.
— Lucian Fogoros (@fogoros) 23 avril 2026
His goal: fully autonomous assembly robots that adapt to new products without human intervention.
Currently impossible. Currently necessary. #HM26 #neurarobotics_ai pic.twitter.com/BCZyWbDEbWThe one problem Neura Robotics CEO wants to solve in manufacturing: robots that can't handle the unexpected.
His goal: fully autonomous assembly robots that adapt to new products without human intervention.
Currently impossible. Currently necessary. #HM26 #neurarobotics_ai -
ChatGPT reads chaos: AI transforms factory data intelligence
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Cybus CEO Peter Sorowka photographed his daughter's chaotic homework.
— Lucian Fogoros (@fogoros) 23 avril 2026
Told ChatGPT "explain this" – no context, no cleanup. It worked perfectly.
If AI can read kid chaos, your factory data is easy. Partner content with Cybus. #cybus_iiot #HM26 pic.twitter.com/z1LwKzxrx8Cybus CEO Peter Sorowka photographed his daughter's chaotic homework.
Told ChatGPT "explain this" – no context, no cleanup. It worked perfectly.
If AI can read kid chaos, your factory data is easy. Partner content with Cybus. #cybus_iiot #HM26 -
Detecting Machine Failures Versus Understanding How to Fix Them
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The distinction between knowing a machine might fail versus knowing exactly how to fix it is huge.
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Prescriptive Analytics Beats Predictive Maintenance for Industrial Solutions
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Predictive maintenance is good, but prescriptive analytics is better. Sundeep Ahluwalia, CPO at TDK SensEI, notes that telling a team a machine might fail is only half the battle. Using historical data to tell them exactly how to fix it is the win. Sponsored by TDK. #tdk_iiot pic.twitter.com/rAPLSUN8Cs
— Lucian Fogoros (@fogoros) 22 avril 2026Predictive maintenance is good, but prescriptive analytics is better. Sundeep Ahluwalia, CPO at TDK SensEI, notes that telling a team a machine might fail is only half the battle. Using historical data to tell them exactly how to fix it is the win. Sponsored by TDK. #tdk_iiot
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Maintaining Data Consistency Across Device Lifecycles
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When the same function produces different data sets based on device age, how do you maintain consistency across decades?
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Edge Platforms Must Support Future Requirements on Legacy Hardware
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The edge platform cannot be purpose-built for today's rules alone. It must accommodate new requirements running on hardware installed years earlier.
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Device Replacement and Firmware Compatibility Challenges Over Time
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Over 20-25 year lifespans, operators may not be able to procure the exact same replacement device. Even if they can, it won't have the same firmware.