Bring More GenAI Pilots Into Production With Knowledge Graphs
Thursday, January 16
9:00 a.m. IST | 11:30 a.m. SGT/HKT/CST | 12:30 p.m. JST | 2:30 p.m. AEST
30 Minutes
With GenAI projected to be a $1.3 trillion market by 2032[1], organizations are investing heavily in GenAI proof-of-concept pilots. However, many pilots fail to reach production due to inaccurate, incomplete, or irrelevant results.
The good news? There’s a way to overcome these challenges: combining knowledge graphs and RAG into GraphRAG to ground your LLMs and get your data into shape to provide accurate, complete results.
Find out how it works. Join us for this 30-minute webinar to discover how to get your data AI ready and avoid hallucinations.
● Propel more GenAI pilots into production
● Speed up app development with less complexity
● Improve data governance and GenAI explainability
Don’t let your GenAI pilots stall. Sign up today to explore how knowledge graphs can help.
The good news? There’s a way to overcome these challenges: combining knowledge graphs and RAG into GraphRAG to ground your LLMs and get your data into shape to provide accurate, complete results.
Find out how it works. Join us for this 30-minute webinar to discover how to get your data AI ready and avoid hallucinations.
● Propel more GenAI pilots into production
● Speed up app development with less complexity
● Improve data governance and GenAI explainability
Don’t let your GenAI pilots stall. Sign up today to explore how knowledge graphs can help.
SPEAKER
Dr. Jesus Barrasa
AI Field CTO
Dr. Jesús Barrasa, an expert in semantic technologies and graph databases, is the AI Field CTO at Neo4j. He holds a Ph.D. in Artificial Intelligence/Knowledge Representation and combines over 20 years of professional experience in technical sales and consulting in the information management space. Dr. Barrasa has firsthand experience with many successful enterprise-wide data integration deployments and large graph technology projects, enhancing operations and analytics for companies across the world.
[1]”Generative AI Races Toward $1.3 Trillion in Revenue by 2032,” Bloomberg Intelligence, March 8, 2024.
