Industrial AI Conference | Stanford, CA

Solving GenAI’s Hallucination Problem: The Essential Role of Knowledge Graph

Generative AI’s untapped potential thrives in its synergy with knowledge graphs – dynamic structures of interconnected facts and concepts that enable insights and predictions from generative AI systems to be more accurate, transparent, and explainable. Neo4j, the graph database and analytics leader, has pioneered this work to enhance AI capabilities. Join Sudhir Hasbe as he unravels the essential relationship between knowledge graphs and generative AI, including its: 1. Contextual precision in moving beyond pattern recognition to achieve contextual understanding; 2. Semantic depth when knowledge graphs infuse domain-specific knowledge into AI outputs;3. Real-world applications and deployments, and the role of technologies like vector search; and 4. Challenges and prospects as we navigate the landscape over the next 3-5 years.This talk will immerse you in the profound impact of knowledge graphs on generative AI. You will gain insights on how they are shaping AI’s future, and transforming the way we interact with artificial intelligence to drive better and more informed decisions and predictions.

Generative AI’s untapped potential thrives in its synergy with knowledge graphs – dynamic structures of interconnected facts and concepts that enable insights and predictions from generative AI systems to be more accurate, transparent, and explainable. Neo4j, the graph database and analytics leader, has pioneered this work to enhance AI capabilities. Join Sudhir Hasbe as he unravels the essential relationship between knowledge graphs and generative AI, including its: 1. Contextual precision in moving beyond pattern recognition to achieve contextual understanding; 2. Semantic depth when knowledge graphs infuse domain-specific knowledge into AI outputs;3. Real-world applications and deployments, and the role of technologies like vector search; and 4. Challenges and prospects as we navigate the landscape over the next 3-5 years.This talk will immerse you in the profound impact of knowledge graphs on generative AI. You will gain insights on how they are shaping AI’s future, and transforming the way we interact with artificial intelligence to drive better and more informed decisions and predictions.