Anchoring Enterprise GenAI with Knowledge Graphs: Jonathan Lowe (Pfizer), Stephen Chin (Neo4j)

As enterprises have embraced GenAI architectures the biggest gap is connecting all of the structured and unstructured datasets across your organization. Knowledge graphs are a natural representation of connected data that allows you to enable higher accuracy and more explainable retrieval using GraphRAG. In this session we will talk about how to build organizational support for a connected data architecture that is the fuel for the current and future GenAI applications of your company. Recorded live at the Leadership Track Session Day from the AI Engineer Summit 2025 in New York. Learn more at https://ai.engineer and purchase tickets to our next event, the AI Engineer World's Fair, in SF June 3 - 5 here: https://ti.to/software-3/ai-engineer-worlds-fair-2025 About Stephen Stephen Chin is VP of Developer Relations at Neo4j, member of the LF AI & Data Foundation and Open AI Alliance, and author of several titles with O'Reilly, Apress, and McGraw Hill. He has keynoted numerous conferences around the world including AI DevSummit, Devoxx, DevNexus, JNation, JavaOne, Shift, Joker, swampUP, and Open Source India. Stephen is an avid motorcyclist who has done evangelism tours in Europe, Japan, and Brazil, interviewing developers in their natural habitat. When he is not traveling, he enjoys teaching kids how to do AI, embedded, and robot programming together with his daughters. About Jonathan Analytics strategist-builder with 30 years of hands-on technical and leadership experience. Envisions, sells, builds and manages fresh approaches to data-driven decision making for biopharma, agriculture, supply chain and telecom clients. Unlocks value rapidly by bridging business and technical cultures. Thrives when growing new teams.