Speakers: Gareth Williams (Wesfarmers)
Track: AI Engineering
Tools churn. Factories commoditise. When everyone has the same models, the advantage goes to whoever gives their agents the clearest blueprint of how the business works - what exists, how it connects and the rules it runs on. That blueprint is an ontology.
In data.world's benchmark, an LLM querying enterprise SQL directly answered 16% of questions correctly. Over a knowledge graph with an ontology, 54%. With the ontology catching the model's bad queries for repair, 72%. Same questions. Only the modelling changed.
I'll untangle ontologies from knowledge graphs, semantic layers and taxonomies, then demo an open-source ontology I built for Monsters, Inc. (OWL, SHACL, SPARQL, PROV-O). Watch an agent refuse to skip a compliance step, a rule stop even the CEO exporting a child's data, and a validator catch three planted violations unaided.
You'll leave knowing how to start, and why AI has finally made one cheap to maintain.
https://data.webdirections.org/ai-engineer-sydney/sessions.json#02419951-c6be-49e5-8a04-599d18e6efd0
Full text on webdirections.org
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