Ontologies and Knowledge Graphs: The Semantic Layer Behind Agentic Twins

Organizations are moving quickly from AI demonstrations to AI in production. Yet one fundamental challenge remains: agents operate on language, while the meaning of the business is spread across systems, terms, and rules. The same order, machine, or process step often appears differently in each system it touches.
This is where ontologies and knowledge graphs come in. By making business concepts, their relationships, and the rules governing them explicit, they create a semantic layer between business language and the systems that hold the data, giving agents a consistent, traceable model to reason over. Drawing on a project at a manufacturing company, this session shows how a semantic layer delivers tangible value in practice. Discover how it grounds agentic twins in a reliable model of the production line, enabling safer and more trustworthy reasoning.