Artificial intelligence can analyze data — but to truly understand the world of manufacturing, it must know what a machine is, what a process means, and how to interpret a fault.
That’s exactly the role of an industrial ontology: defining a common language for all information in the factory.
When there is a clear semantic structure, data becomes connected, systems can communicate, and investments in AI projects deliver faster returns.
It’s not just a technological foundation — it’s a business decision that enables knowledge to turn into value.
Read our new article to discover how active ontologies like IOF Core and MaintRefOnto make factory data AI-friendly, and why ontology is a key first step in implementing large language models in manufacturing.
