CDO Matters Podcast CDO Matters Ep. 83 | Making Data AI-Ready with Knowledge Graphs
Aug 24, 2025
Andreas Blumauer, Founder and CEO of the Semantic Web Company, shares his expertise in semantic web standards and enterprise knowledge graphs. He discusses how knowledge graphs are revolutionizing data strategies to make data AI-ready. Key topics include the importance of semantics and domain models, the challenges of understanding context in data interpretation, and the interplay between AI integration and knowledge graphs. Andreas emphasizes the need for data governance and the future of data modeling in an AI-driven world, highlighting the evolving roles of professionals in this space.
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Semantic Web Was About Interoperable Metadata
- The Semantic Web aimed to make metadata interoperable at scale using shared standards like RDF and ontologies.
- Enterprises now adopt those standards as enterprise knowledge graphs to make data machine-understandable across silos.
Knowledge Graphs Power AI-Ready Data
- Google fused knowledge graphs and ML early, using Semantic Web standards to power its search knowledge graph.
- That fusion made knowledge graphs central to making data AI-ready in enterprises today.
Pick Graph Type For The Use Case
- Two graph approaches exist: RDF-based semantic graphs and property (LPG) graphs, each with strengths for different use cases.
- Choose based on your data, use case and strategic needs rather than assuming one supersedes the other.