Industrial AI agent exploring an OPC UA information model through MCP tools. The illustration shows equipment, production operations, stator instances and copper batch relationships in a manufacturing environment, demonstrating how structured industrial data supports AI-driven traceability.

Industrial AI agents need more than access to raw data. OPC UA information models provide the structured context, types and relationships needed to interpret industrial information. Discover how MCP enables AI agents to explore these models, illustrated by an OOUAMiddleware manufacturing traceability demonstration.

OPC UA and AI: Why Information Models Matter More Than Ever The emergence of Large Language Models and, more broadly, generative artificial intelligence is challenging many established software architectures.Industry is no exception.If AI can understand heterogeneous data, generate interfaces, create mappings and interpret different formats, do we still need structured interoperability standards such as OPC … Read more