The system feeds live and historical telemetry into the same copilot connected to ABB's documentation library for analysis.
@fogoros
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AI Makes Industrial Automation Accessible Without CS Degree
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Programming industrial systems shouldn't require a computer science degree.
— Lucian Fogoros (@fogoros) 24 mai 2026
AI understands both plain English and automation languages – bringing more people into manufacturing systems.
The barrier was artificial. Partner content with Coreflux. #coreflux_ai pic.twitter.com/56KLzqRc6OProgramming industrial systems shouldn't require a computer science degree.
AI understands both plain English and automation languages – bringing more people into manufacturing systems.
The barrier was artificial. Partner content with Coreflux. #coreflux_ai -
Industrial AI in Production: Data Infrastructure to AI Copilots
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Just published on @iiot_world: Industrial AI in Production booklet covers six companies showing production results from data infrastructure through AI copilots and digital twins at Hannover Messe 2026. #highbyte_iiot #influxdata_iiot #cybus_iiot pic.twitter.com/b9vJZwgyLA
— Lucian Fogoros (@fogoros) 24 mai 2026Just published on @iiot_world
: Industrial AI in Production booklet covers six companies showing production results from data infrastructure through AI copilots and digital twins at Hannover Messe 2026. #highbyte_iiot #influxdata_iiot #cybus_iiot -
Validating Data Integrity for AI Models
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How do you validate the integrity of data feeding your AI models?
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Data Poisoning Risk in Edge AI Systems
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Did you know? Data poisoning emerges as a new risk for edge AI systems. Traditional cybersecurity focuses on network perimeters but edge AI requires validating data quality at the source. Partner content with TDK SensEI. #TDK_iioT pic.twitter.com/YBmV9x1gtC
— Lucian Fogoros (@fogoros) 23 mai 2026Did you know? Data poisoning emerges as a new risk for edge AI systems. Traditional cybersecurity focuses on network perimeters but edge AI requires validating data quality at the source. Partner content with TDK SensEI. #TDK_iioT
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AI lets business users build solutions without waiting for IT
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Thousands of manufacturing use cases exist. AI-based development means expert business users no longer wait in an IT queue. They build their own solutions, their own capability, on their own terms. #snowflake_ai pic.twitter.com/D5YNHcCAP7
— Lucian Fogoros (@fogoros) 22 mai 2026Thousands of manufacturing use cases exist. AI-based development means expert business users no longer wait in an IT queue. They build their own solutions, their own capability, on their own terms. #snowflake_ai
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Challenges of AI adoption in industrial operator workflows
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Trust builds slowly in industrial environments. Operators need to see AI recommendations proven right multiple times before changing behavior.
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AI-driven prompt engineering accelerates manufacturing solution development
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Specify the industry vertical, the use cases, and the boundary conditions in a prompt, and a manufacturing solution comes out the other side. What took 12 weeks and a full dev team a year ago now takes 5 minutes. #snowflake_ai pic.twitter.com/1wiS6kyJzo
— Lucian Fogoros (@fogoros) 20 mai 2026Specify the industry vertical, the use cases, and the boundary conditions in a prompt, and a manufacturing solution comes out the other side. What took 12 weeks and a full dev team a year ago now takes 5 minutes. #snowflake_ai
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Closing the industrial data gap for AI operations
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Most industrial AI data was scraped from the internet, not from boats, cars, or plants actually running. That context gap is exactly what MQTT-based platforms like Coreflux are racing to close before AI can act on real operational data. #coreflux_ai pic.twitter.com/6FdXX05yZB
— Lucian Fogoros (@fogoros) 20 mai 2026Most industrial AI data was scraped from the internet, not from boats, cars, or plants actually running. That context gap is exactly what MQTT-based platforms like Coreflux are racing to close before AI can act on real operational data. #coreflux_ai
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Amazon Nova enhances computer vision for industrial quality detection
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Computer vision for quality detection is one of the fastest AI use cases to deliver results on the factory floor. The barrier used to be the size of the training dataset. Amazon Nova is changing that calculus at Hannover Messe 2026. #PhysicalAI #QualityControl #IIoT #aws_ai pic.twitter.com/fQD6vtQ1Yv
— Lucian Fogoros (@fogoros) 18 mai 2026Computer vision for quality detection is one of the fastest AI use cases to deliver results on the factory floor. The barrier used to be the size of the training dataset. Amazon Nova is changing that calculus at Hannover Messe 2026. #PhysicalAI #QualityControl #IIoT #aws_ai