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Master’s Thesis Recap: AI-Assisted Variable Mapping to OPC UA Information Models

Discover how AI can support variable mapping to OPC UA information models by combining semantic search with Large Language Models. This Master’s thesis recap explores a practical hybrid approach that reduces manual work while keeping engineers in control.

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Rethinking the Traditional Automation Stack with Industrial DataOps

The traditional PLC, Historian, and MES stack no longer meets the needs of modern industrial software. This article explores how an Industrial DataOps layer simplifies system architecture, centralizes data modeling, reduces integration complexity, and creates a scalable foundation for cloud analytics, AI, and future manufacturing applications.

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i3X — A Promising Step Toward Easier Industrial Data Access

CESMII’s i3X initiative aims to make industrial data easier to consume by IT systems while preserving context and semantics. In this article, we examine how i3X compares with OPC UA, where it fits in industrial architectures, and why information models remain the key to successful Industrial DataOps.

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Master’s Thesis Recap: Framework for Regulatory Compliance for Software Supplier in Pharmaceutical Manufacturing

A practical framework developed in a master’s thesis to help software suppliers navigate pharmaceutical regulations, adopt a minimal Quality Management System, and prepare for audits without heavy upfront investments.

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