Every manufacturer uses the same LLMs. The differentiator is the context fed to those models, not the models themselves.
@fogoros
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AI Agents with Scoped Data Access on Shared Infrastructure
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A quality agent and predictive maintenance agent can run on the same server but see entirely different data sets through scoped access.
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Scoped Tool Access for AI Agent Control
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Scoped tool access keeps AI agents focused. Build custom tools defining exactly which historian data an agent can request and which parameters it can use. Everything outside stays invisible. Partner content with @HighbyteInc. #highbyte_iiot pic.twitter.com/GywTVbJa9k
— Lucian Fogoros (@fogoros) 29 mai 2026Scoped tool access keeps AI agents focused. Build custom tools defining exactly which historian data an agent can request and which parameters it can use. Everything outside stays invisible. Partner content with @HighbyteInc
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Edge-Cloud Hybrid Architecture for AI Development
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The architecture is typically hybrid: edge handles latency-sensitive control, cloud platforms handle analytics and AI development at scale.
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Model Sovereignty: Multi-AI Voting for Manufacturing Accuracy
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Model sovereignty uses an independent accuracy layer for multi-element voting, letting different AI models compete to provide the most accurate answer for specific manufacturing tasks. No single provider lock-in. Partner content with Adlib. #adlib_iiot pic.twitter.com/VgKfgpXvcf
— Lucian Fogoros (@fogoros) 28 mai 2026Model sovereignty uses an independent accuracy layer for multi-element voting, letting different AI models compete to provide the most accurate answer for specific manufacturing tasks. No single provider lock-in. Partner content with Adlib. #adlib_iiot
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Measuring Business Impact in Industrial AI Deployment
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The hardest question in industrial AI isn't technical – it's proving measurable business impact that justifies continued investment.
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MIT Sloan Industrial AI Series: Execution to Impact
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Part 3 of MIT Sloan's Industrial AI series coming soon: 'From Execution to Impact' – measuring and sustaining financial and operational value from industrial AI at scale. Partner content with @AI4ProdOutcomes. #Infinite_iiot pic.twitter.com/dSW6SXvj4m
— Lucian Fogoros (@fogoros) 28 mai 2026Part 3 of MIT Sloan's Industrial AI series coming soon: 'From Execution to Impact' – measuring and sustaining financial and operational value from industrial AI at scale. Partner content with @AI4ProdOutcomes
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AI Agents for Predictive Maintenance and Operations
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Prescriptive maintenance does not just tell you what is failing. It tells you what might be happening and how to fix it. That output then feeds an agentic layer that can query your ERP for parts availability, place an order if needed, and route the right technician to the right… pic.twitter.com/mSbDq1lIZP
— Lucian Fogoros (@fogoros) 27 mai 2026Prescriptive maintenance does not just tell you what is failing. It tells you what might be happening and how to fix it. That output then feeds an agentic layer that can query your ERP for parts availability, place an order if needed, and route the right technician to the right
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AI Copilot for Industrial Telemetry Analysis and Documentation
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The system feeds live and historical telemetry into the same copilot connected to ABB's documentation library for analysis.
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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