The Industrial IoT Blog
IIoT Insights by Henry Costa
Tag: Data Quality
The degree to which data is accurate, complete, consistent, and reliable for its intended use. High data quality is essential for analytics, automation, and decision-making.
-
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,…
-
AI Meets UNS: Practical LLM Uses on Industrial Data
Read more: AI Meets UNS: Practical LLM Uses on Industrial DataA few years ago, if you told me we’d be using large language models on top of plant data, I would’ve said: “Cool demo. Not sure it survives contact with a real site.” Now I’m more convinced. Not because LLMs…
-
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…
-
Digital Twins in IIoT. Where Physics-Based Models Fit
Read more: Digital Twins in IIoT. Where Physics-Based Models FitA lot of confusion around digital twins comes from one simple thing. People mix up the twin itself with the models inside it. They are not the same. A digital twin is a structure. A container that connects data, context,…
-
AIoT-Driven Autonomous Systems in Manufacturing. What Actually Works
Read more: AIoT-Driven Autonomous Systems in Manufacturing. What Actually WorksAIoT. Artificial Intelligence combined with the Internet of Things. It is no longer just a buzzword. It is quietly changing how plants, labs, and production lines operate. I have spent more than two decades connecting machines, systems, and people across…
-
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.…
-
Why Your OEE Is Probably Wrong
Read more: Why Your OEE Is Probably WrongI’ve spent decades working with plant data, and if there’s one thing I wish more people understood, it’s this. Inconsistent machine data quietly ruins your OEE, often before you even know there’s a problem. I’ve seen this at small sites…
-
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…
-
The Five Things That Surprised Me About Industrial Data
Read more: The Five Things That Surprised Me About Industrial DataIf you’ve spent years in manufacturing IT, you know that industrial data isn’t just “data.” It’s messy, stubborn, and full of surprises. When I first started connecting machines and systems back in the SAP xMII days, I thought the challenge…