Building an AI-Ready Knowledge Architecture

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July 13th

11 AM ET

Online Webinar

AI systems are only as trustworthy as the knowledge architecture behind them.

Eric Kavanagh

CEO

The Bloor Group

Sebastian Schmidt

EVP Enterprise

Digital Science

AI is reshaping how organizations think about data architecture. It’s no longer enough to centralize information in warehouses and lakes. Modern AI systems require context, lineage, governance, relationships, and semantic understanding to deliver trustworthy outcomes at scale.


The solution? An AI-ready knowledge architecture.

  • Why semantic intelligence is becoming the control plane for enterprise AI
  • How metadata, lineage, and provenance improve trust and reduce hallucinations
  • Why knowledge graphs outperform siloed architectures for AI-driven discovery
  • How AI-ready architectures support RAG, agentic AI, and contextual reasoning at scale

Why Semantic Intelligence Is Becoming the Foundation for Enterprise AI

What You’ll Learn

  • Real-world approaches to building AI-ready knowledge architectures
  • How provenance and contextual metadata strengthen AI reliability
  • Why semantic layers are becoming essential for enterprise-scale AI systems

What You’ll See