Industrial Intelligence
Architecture Guides

Practical guides, tutorials, and use-case blueprints for implementing the data and AI capabilities for modern industrial operations.

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How to Scale a Unified Namespace Across Plants
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How to Scale a Unified Namespace Across Plants

A practical guide to scaling a Unified Namespace across plants by combining enterprise standards with flexible local DataOps mappings.

Kudzai Manditereza
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ALL GUIDES

Showing 6 of 6 issues.

How to Scale a Unified Namespace Across Plants
A practical guide to scaling a Unified Namespace across plants by combining enterprise standards with flexible local DataOps mappings.
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Unified Namespace for Industrial AI and AI agents
How the Unified Namespace gives industrial AI agents real-time operational context, while historical and semantic layers provide evidence and meaning.
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Modernizing Around AVEVA PI: DataOps, Unified Namespace, and AI
How manufacturers can modernize around AVEVA PI using Industrial DataOps, a Unified Namespace, and AI without replacing the value already in place.
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Building the Data Foundation for MES with DataOps and a Unified Namespace
How DataOps and a Unified Namespace create a reusable data foundation that simplifies MES integration while supporting analytics, applications, and AI.
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The Role of Industrial DataOps in a Unified Namespace Architecture
How Industrial DataOps and the Unified Namespace work together to standardize, govern, and distribute operational data across the enterprise.
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Industrial DataOps: What It Is, Why It Matters, and Where It Fits
A practical introduction to Industrial DataOps, how it turns complex industrial data into trusted information, and where it fits in the architecture.
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Using TimescaleDB as an Operational Datastore for the Unified Namespace
A practical guide to using TimescaleDB as an operational datastore for the Unified Namespace, preserving metrics, events, states, and operational context for analytics and AI.
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How to Model Events for a Unified Namespace
A practical guide to modelling operational events in a Unified Namespace for workflows, traceability, analytics, and AI.
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Data Modelling Examples for the Unified Namespace
Practical Unified Namespace payload examples that show how to build a small, reusable data model that can evolve with operational needs.
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11 Best Practices for MQTT Topic Design in a Unified Namespace
A practical guide to designing Unified namespace MQTT topics that are predictable, scalable, and easy to subscribe to and govern.
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Why UNS Event-Driven Architecture Matters in Manufacturing
A practical look at how event-driven UNS architecture makes operational changes reusable across industrial data, analytics, and AI.
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Back to Basics: What a Unified Namespace Is and What It is Not
A practical look at what the Unified Namespace is for, its role in the broader industrial data and AI architecture, and what it does not need to be.
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Connecting Industrial Assets to a Knowledge Graph Using MQTT, Node-RED, and Neo4j
We build a data pipeline that takes an MQTT message from a shop-floor system, transforms it into a Cypher write, and updates the knowledge graph in real time.
Aug 18, 2026
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How to Build a Knowledge Graph for Manufacturing Operations
The core and domain ontologies define what may exist in a manufacturing environment. Here we use them to build a knowledge graph of what actually exists.
Aug 18, 2026
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Building an Energy Operations Domain Ontology in Manufacturing
The core manufacturing ontology already gives us shared concepts. Here we extend it with the classes and relationships needed to describe energy and plant utilities.
Aug 18, 2026
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Building an Inventory Operations Domain Ontology in Manufacturing
The core manufacturing ontology already gives us shared concepts. Here we extend it with the classes and relationships needed to describe inventory operations.
Aug 18, 2026
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Building a Maintenance Operations Domain Ontology in Manufacturing
The core manufacturing ontology already gives us shared concepts. Here we extend it with the classes and relationships needed to describe maintenance operations.
Aug 18, 2026
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Building a Quality Operations Domain Ontology in Manufacturing
The core manufacturing ontology already gives us shared concepts. Here we extend it with the classes and relationships needed to describe quality operations.
Aug 18, 2026
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Building a Production Operations Domain Ontology in Manufacturing
The core ontology defines shared concepts like Process and Location. Here we extend it with the specific classes and relationships needed for production operations.
Aug 18, 2026
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Using Neo4j to Build an Ontology for Manufacturing Operations
We take a nine-concept core manufacturing ontology specification and implement it in Neo4j, representing classes and relationships as graph nodes.
Aug 18, 2026
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How to Design an Ontology for Manufacturing Operations
How do you actually design a manufacturing ontology? The first, and most important, decision is whether to take a top-down or bottom-up approach.
Aug 18, 2026
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What is an Ontology for Manufacturing Operations and Why Does it Matter?
A practical introduction to manufacturing ontologies, how they model operational meaning, and why they matter for knowledge graphs and industrial AI.
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