Industrial AI

Digital twin explained: what a digital twin is, its maturity levels, and how to build one step by step in the Unified Namespace (UNS).

Building AI agents: a practical guide to their anatomy, building blocks, MCP and frameworks, plus best practices for the factory floor.

AI automation in manufacturing: how it differs from classic control, concrete shopfloor use cases and the role of the Unified Namespace.

Edge AI in Manufacturing : what running AI at the machine means, when it beats the cloud, and how to deploy inference in manufacturing.

Learn how the Model Context Protocol (MCP) works, incl. host-client-server architecture, tools, resources, prompts, and design principles.

MCP in the Unified Namespace (UNS): How to integrate AI in a secure, standardized and scalable way – including architecture and best practices.

Industrial AI in manufacturing: definition, how it differs from consumer AI, the four analytics stages, use cases and the data foundation.

Predictive maintenance explained: definition, implementation in the Unified Namespace, plus the benefits and drawbacks at a glance.

Predictive analytics: definition, the difference from prescriptive analytics and how to implement it in the Unified Namespace (UNS).

How to leverage AI agents in the Unified Namespace (UNS) – best practices for boosting factory automation and operational efficiency.