The Industrial IoT Blog
IIoT Insights by Henry Costa
Tag: Contextualization
The process of adding meaning and structure to raw data by linking it to assets, processes, and events. It makes data easier to understand and use.
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Industrial DataOps. Turning Plant Data Into Trusted Data
Read more: Industrial DataOps. Turning Plant Data Into Trusted DataMost manufacturing teams I’ve worked with have the same quiet problem. They can connect machines. They can collect data. They can even stream it to a data lake. But when someone tries to use it. For dashboards, OEE, anomaly detection,…
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AI-Ready Data. How UNS and Sparkplug B Set You Up for Manufacturing AI
Read more: AI-Ready Data. How UNS and Sparkplug B Set You Up for Manufacturing AII’ve noticed something funny about “manufacturing AI.” The AI part gets all the attention. The real success or failure usually happens much earlier, in the boring part. How you name data. Where you publish it. Whether anyone can trust it.…
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Litmus at ProveIt! Conference 2026. Where Industrial AI Starts
Read more: Litmus at ProveIt! Conference 2026. Where Industrial AI StartsI sat through a Litmus session at the ProveIt! Conference in Dallas and I left with one thought in my head. Most AI in manufacturing conversations are backwards. People argue about models, copilots, vision, GenAI, and all that. Meanwhile, the…
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Why Edge Data Contextualization Is Key for AI in Manufacturing
Read more: Why Edge Data Contextualization Is Key for AI in ManufacturingIf you’ve ever tried to get meaningful insights from a plant’s data, you know the struggle. You wire up a sensor, push the data to the cloud, and… good luck figuring out if “Tag_123” is a temperature, a pressure, or…