Knowledge Graphs with Juan Sequeda - Episode #49

In this episode of the Agile Data Podcast, host Shane Gibson sits down with Juan Sequeda, the principal scientist and head of the AI lab at data.world, and an expert in data integration and Semantic Web technologies.

In this episode, the conversation explores the intricate world of knowledge graphs and business semantics. Juan explains how a knowledge graph operates as a flexible framework that makes real-world concepts and their relationships first-class citizens, extracting meaning out of isolated application code and linking it directly to the data. By focusing on business literacy and well-defined ontologies, knowledge graphs ensure that your architecture remains highly resilient and agile enough to handle the unknown use cases of tomorrow.

The discussion also dives deep into the complexities of data integration, clarifying the crucial role of unique global identifiers. Juan breaks down how adopting web-based identifier standards, such as URIs, prevents ambiguity—like confusing the word “fire” as a termination, a weapon, or heat—and achieves seamless integration across multiple systems by definitively codifying real-world entities.

Whether you are curious about how to build enterprise ontologies, how LLMs and knowledge graphs are combining to increase AI accuracy from 16% to 54%, or want to learn why your data catalog should be built on a graph architecture, this episode is packed with valuable insights for data professionals