The Industrial IoT Blog
IIoT Insights by Henry Costa
Tag: Industrial AI
The application of AI to industrial data and processes. It is used to predict issues, optimize operations, and automate decisions in manufacturing environments.
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Agentic AI on the Shop Floor: Real vs Hype in 2026
Read more: Agentic AI on the Shop Floor: Real vs Hype in 2026There’s a lot of noise around Agentic AI right now. If you’re in manufacturing, you’ve probably seen the demos. An AI agent that “autonomously optimizes your production line.” Another one that “self-heals equipment failures.” Sounds amazing, right? So let me…
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Model Context Protocol (MCP) Explained: Making IIoT Smarter
Read more: Model Context Protocol (MCP) Explained: Making IIoT SmarterIf you work in industrial automation or manufacturing, you know the pain of getting data from machines, sensors, and systems into the hands of people and AI tools that can actually use it. The Model Context Protocol (MCP) is a…
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Industrial AI Explained. Why Data Is the Real Starting Point
Read more: Industrial AI Explained. Why Data Is the Real Starting PointThere’s a lot of noise around AI in manufacturing right now. Every vendor deck, every conference keynote, every LinkedIn post seems to promise that AI will transform your plant. And honestly, most of the time, I just smile and scroll…
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The Trust Gap in Industrial AI
Read more: The Trust Gap in Industrial AIImagine this situation. A team spends months building an AI use case. The model looks strong in workshops and dashboards. The recommendation goes live on the plant floor. Then operators ignore it. Not because they are against technology. Not because…
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Industry 5.0: When Operators Matter More Than Dashboards
Read more: Industry 5.0: When Operators Matter More Than DashboardsI’ve spent the last years connecting machines to the cloud. Millions of tags. Real-time dashboards. Predictive analytics. The whole Industry 4.0 playbook. But here’s what nobody talks about: we forgot about the people. The Moment We Knew Something Was Wrong…