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In this conversation, Juan Sequeda discusses the evolution and significance of knowledge graphs and ontologies in the context of AI and data management. He emphasizes the need for a paradigm shift from a data-centric to a knowledge-centric approach, highlighting the importance of treating knowledge as a first-class citizen. The discussion covers the roles of knowledge engineers, the necessity of governance, and the methodologies required to effectively implement knowledge graphs. Sequeda also shares insights on the challenges and opportunities presented by AI in enhancing knowledge management practices.
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Excited to explore more or want to join us on Tapas & Pretzels? Reach out at [email protected]!
By adorsysSend a text
In this conversation, Juan Sequeda discusses the evolution and significance of knowledge graphs and ontologies in the context of AI and data management. He emphasizes the need for a paradigm shift from a data-centric to a knowledge-centric approach, highlighting the importance of treating knowledge as a first-class citizen. The discussion covers the roles of knowledge engineers, the necessity of governance, and the methodologies required to effectively implement knowledge graphs. Sequeda also shares insights on the challenges and opportunities presented by AI in enhancing knowledge management practices.
Support the show
Excited to explore more or want to join us on Tapas & Pretzels? Reach out at [email protected]!