A Graph for All Your Data? And AI?

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April 20th

1 PM ET

Online Webinar

What You’ll Learn

AI readiness starts with connected, meaningful data.

Eric Kavanagh

CEO

The Bloor Group

Jessica Talisman

Data Maven

AI is putting pressure on data teams to become AI-ready - fast. But with so many approaches, it’s not always clear what works.


One of the most promising answers?

A graph for all your data.


Organizations like Meta and LinkedIn have proven the power of graph technology to connect systems and unlock insights. Now, enterprises are using these same principles to unify data and prepare for AI at scale.


Join this episode of InsideAnalysis to learn how data graphs and semantic technologies can help your organization connect the dots and move confidently into the AI era.

  • The difference between a data graph and a domain ontology - and why it matters for AI
  • How semantic metadata graphs connect business logic to enterprise data assets
  • What OWL and RDF enable that traditional catalogs and MDM tools cannot
  • How to get started quickly with standards, automation, and glossary-to-source linking

Harsha Chintalapani

Co-Founder

Collate

Connecting Data, Context, and Meaning for the AI Era