Enterprise Wide Search 15: Jérémy Ravenel - Ontologies, Flywheels, and the AI-Ready Enterprise
Enterprise Wide SearchShow Notes
In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Jérémy Ravenel, researcher, advisor, and founder of the open-source NaasAI platform. Known for bridging the gap between theory and execution, Jérémy shares his journey from Excel-heavy finance roles to leading cutting-edge research in AI interoperability and enterprise knowledge graphs.
Together, they explore: Why so many GenAI initiatives fail without semantic structure and context.
What it means to “clean your room” before deploying AI agents.
How ontologies can evolve from niche academic tools to practical building blocks of enterprise-scale AI.
The tension between perfection and pragmatism in data work.
🎧 Tune in for a conversation on the hidden structures behind meaningful AI, and why the future might depend on how well we model what we already know.
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