At the recent AI Engineer World’s Fair, AI engineers discussed the rediscovery of ontologies as a method to maintain probabilistic agents within deterministic boundaries. Presenters Frank Coyle and Emile Ifrem explored how technologies from the semantic web are being repurposed to enhance the trustworthiness and performance of large language models (LLMs) and autonomous agents. This revival of older web technologies aims to provide a structured and reliable framework for modern AI systems.

Emile Ifrem: Emile Ifrem is the founder and CEO of Neo4j, a leading graph database company focused on knowledge graphs and connected data. He presented at the AI Engineer World’s Fair on utilizing ontologies and graph-based approaches to keep AI agents on track and maintain boundaries in probabilistic models. His contributions emphasize bridging traditional semantic web methods with contemporary AI development.
Frank P. Coyle: Frank P. Coyle is an expert in semantic technologies and AI systems integration. He delivered a presentation at the recent AI Engineer World’s Fair exploring how ontologies can constrain probabilistic AI agents within reliable deterministic frameworks. His work highlights the application of established web technologies to enhance LLM accuracy and agent reliability.

AI Engineer Events: The AI Engineer World’s Fair featured discussions on integrating deterministic tools with probabilistic AI systems to improve overall trustworthiness and performance.
Semantic Web Revival: Technologies originally developed for the semantic web are being actively repurposed in AI engineering to provide structure and reliability to large language models and autonomous agents.