Ontology for AI in Smart Manufacturing
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.
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.
Other articles that may interest you
AI Project Success: A 4-Part Guide to Implementation
AI Project Success: A 4-Part Guide to Implementation
The Starting Point for AI in an Organization
Why It’s Critical and Why It’s Always Different
The Starting Point for AI in an Organization
Why It’s Critical and Why It’s Always Different
Data Raven offering and background
Data Raven offering and background
All rights reserved to Data Raven Technologies