Today’s complex data landscape can be overwhelming. With traditional databases, it’s a monumental task to reveal the connections and insights you need for your data-driven projects – and in some cases, they’re simply not up to the task.

Knowledge graphs and graph databases offer an intuitive, efficient approach to understanding relationships and insights between data points and sets. Designed to handle large amounts of data, they provide not only intuitive data modeling but also built-in analytics and visualization, and can even ground an LLM.
  
How can you leverage these increasingly popular tools for your work? Get the answers in this on-demand webinar with Dr. Jesús Barrasa, the co-author of the O’Reilly book “Building Knowledge Graphs: A Practitioner’s Guide.”

You’ll discover:
  • How knowledge graphs came to underpin complex data-driven projects
  • The advantages of native graph databases over other choices
  • Best practices in designing and implementing knowledge graphs
  • Real-world use cases and success stories

Jesús Barrasa
Head of Solutions Architecture

Dr. Jesús Barrasa is the Head of Solutions Architecture at Neo4j and the company's resident expert in semantic technologies. He combines over 20 years of professional experience in technical sales and consulting in the data management space as well as in research and academia. Prior to joining Neo4j, Jesús worked for data integration companies like Denodo and Ontology Systems (now EXFO), where he got first-hand experience with many successful enterprise-wide data integration deployments and large graph technology projects enhancing the operations and analytics of major companies all over the world. Jesús' doctoral work in Artificial Intelligence and Knowledge Representation focused on the automatic repurposing of legacy data as knowledge graphs.

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