The accompanying slides for this webinar can be found here.

Large Language Models are powerful — but they hallucinate, and they can't be trusted to act autonomously without structured guidance. In this session, Graham McLeod explains how ontologies provide the knowledge layer that helps AI reason reliably, make deterministic decisions, and reduce hallucinations in enterprise environments.

Recorded at the Educating AI webinar hosted by Ecosystem.ai on 5 August 2026.

We cover:

What ontologies are and why enterprises need them
Core building blocks: types, relationships, roles, properties, and constraints
Key standards: OWL, RDF, SHACL, Turtle, and SPARQL
How knowledge graphs enable trustworthy AI agents
Avoiding vendor lock-in from platforms like Palantir, Google, and Microsoft Fabric
The Accessible Enterprise Ontology (AEON) initiative
Sapiento: a graph-based modeling and execution tool
The open-source "Flow" platform for vendor-agnostic SQL queries

Perfect for enterprise architects, AI engineers, and anyone exploring how structured knowledge can make LLMs more reliable.

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