Learn with Neo4j's New "Get to Know Graph & GenAI" Webinar Series >>
Session Track: Knowledge Graphs
Session Time:
Session description
Executives aim to leverage GenAI, but distrust arises from its "black box" nature exhibiting hallucinatory behavior. Standard RAG is a preliminary step, but fetching documents differs from understanding business intricacies. How can AI both retrieve data and reason effectively? In this session, participants will learn to advance beyond basic RAG methodologies to create a true AI "Corporate Brain" using a knowledge graph. This session targets leaders wanting trustworthy, accurate, and context-aware AI systems. Dr. Anderson Prewitt will explain how modeling business aspects (customers, products, processes, and personnel) as a knowledge graph can reduce AI hallucinations and reveal valuable insights. Attendees will realize knowledge graphs are vital for an AI system that supports Harmony, Ethics, Veracity, Integrity, Discernment, and Safeguards (H.E.V.I.D.S.) as core operational elements. Participants will leave with a strategic framework for implementing trustworthy AI, combining advanced graph technology (Graph ML for RAG) with ethical design principles represented in the H.E.V.I.D.S. framework.
Principal AI Scientist, Fabrx Space
Dr. Anderson D. Prewitt, principal AI scientist at Fabrx Space, leads the development of cutting-edge AI solutions with a focus on transformer models and deep learning. With advanced degrees in Engineering and Science, he facilitates AI strategy and ethics at Cornell University while serving as a scientific advisor for AI 2030. His expertise encompasses responsible AI implementation, D.A.R.Q. technologies, and STEM workforce development. Dr. Prewitt has authored books on STEM education and AI transformation, bringing two decades of expertise in technology innovation to drive ethical AI adoption.