November 2, 2025

How To Standardize Data Models For The Unified Namespace

The Unified Namespace provides contextual and unified access to your data. But it doesn’t define what the data should look like.

And that’s a problem.

Why?

Because it means systems are free to publish whatever they want, which leads to data inconsistencies.

Some organizations choose to build proprietary models to fix this.
And that’s perfectly valid if it serves a specific business goal.

But when your goal is interoperability, scalability, and ecosystem collaboration, standardization offers a better path forward.

One that’s open, consistent, and widely adoptable.

This is where CESMII’s Smart Manufacturing Profiles come in.

They offer standardized, open data models built on the OPC UA Information Model to ensure consistency across systems.

What makes them powerful:


⇨Portable across platforms
⇨Enforceable (via schema validation)
⇨Understandable by both humans and machines

What this unlocks for your business:


✅ Predictable, structured data
✅ Interoperability across vendors and systems
✅ Better alignment between OT and IT
✅ A foundation for scalable, future-proof architectures

Kudzai Manditereza

Founder & Educator - Industry40.tv

Kudzai Manditereza is an Industry4.0 technology evangelist and creator of Industry40.tv, an independent media and education platform focused on industrial data and AI for smart manufacturing. He specializes in Industrial AI, IIoT, Unified Namespace, Digital Twins, and Industrial DataOps, helping digital manufacturing leaders implement and scale AI initiatives.

Kudzai hosts the AI in Manufacturing podcast and writes the Smart Factory Playbook newsletter, where he shares practical guidance on building the data backbone that makes industrial AI work in real-world manufacturing environments. He currently serves as Senior Industry Solutions Advocate at HiveMQ.