This podcast explores GraphSAGE, graph-native machine learning, and the role of model catalogs in building intelligent applications with Neo4j. It discusses node embeddings, graph-based prediction techniques, and how connected data can enhance machine learning performance. Perfect for data scientists, AI engineers, developers, and technology enthusiasts interested in graph analytics and next-generation machine learning.