diginomica.com
Sep 28, 2026
Enterprises hits and misses – are knowledge graphs the missing piece in AI context, and is agentic security broken, or just mismanaged?
AI-summarised brief · reviewed before publication
The article examines how knowledge graphs could become a critical component of agentic intelligence by providing real‑time organizational truth. It highlights discussions from diginomica, where George and Lemongrass CTO Eamonn O’Neill explore using knowledge graphs to capture tribal knowledge through AI interviewers and meeting transcripts. The piece also cites Google Cloud’s Andi Gutmans, who argues that manual ontology creation is unsustainable and that automated agents must build and maintain enterprise knowledge graphs to scale. The debate centers on whether knowledge graphs can bridge the gap between intent and action in AI‑driven enterprises.
💡 Why It Matters
- · By shifting from static ontologies to dynamic, AI‑generated knowledge graphs, companies can unlock hidden insights that were previously undocumented, enabling more accurate and scalable AI decision‑making.
