November 2, 2025
November 2, 2025
The Unified Namespace concept can be boiled down to 3 key principles
Apply these effectively and you get a potent combination for getting value from IIoT data at scale.
Focuses on decentralizing data management to the 'edge' of the network.
Data is pushed from its source at the edge into a common data infrastructure, only sharing data when changes are detected (Report-by-Exception).
This approach significantly enhances the truthfulness of data by minimizing the gap between its origin and its analytical use, ensuring a more accurate and reliable data foundation.
Emphasizes adoption of a standardized data infrastructure that supports an open architecture.
Incorporating a "Publish-Subscribe" model, this infrastructure needs to allow for the seamless and scalable integration of new participants and their data (self-aware).
This approach streamlines integration, fosters innovation, and prevents technical debt, leading to an adaptable and efficient technology environment.
Aims to balance universal standards with domain-specific governance needs.
This method acknowledges that an IIoT system is dynamic and cannot be rigidly controlled.
All the while, empowering teams close to the data to share data that is usable, valuable, and feasible to generate to ensure data integrity, and interoperability.
These principles collectively ensure a robust, flexible, and efficient approach to IIoT data management, crucial for modern enterprise-scale IIoT applications.
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.