Gartner Reflections: Accurate, Contextual, & Explainable AI

Tuesday, July 8
10 am BST / 11 am CEST
45 minutes

The Fundamentals of GraphRAG and Knowledge Graphs

A lack of trust in the AI you build comes down to data quality. Hallucinations and a lack of explainability hold back the applications you want to get off the ground.

Take a new approach to data governance. Pair a knowledge graph with RAG to create a GraphRAG architecture. You then have a framework that provides the context, flexibility, and standardization needed to make your data AI ready.

Join us for an exclusive event that delves into how to evolve and expand your data management practices to build accurate, explainable AI systems.

You’ll learn:

  • The Fundamentals of GraphRAG: Understand how to combine retrieval-augmented generation (RAG) with knowledge graphs to enhance AI’s reasoning capabilities.
  • How to Build a Knowledge Graph: Turn unstructured data into a knowledge graph to provide rich context for AI applications.
  • Real-World Applications: Hear successful stories about implementations of GraphRAG and knowledge graphs across multiple industries.

Why Attend?

  • Make AI More Trustworthy: Find out how to improve the accuracy and reliability of AI outputs.
  • Gain Competitive Edge: Learn a new approach to data governance to get more AI pilots up and running to set your organization apart.
  • Network With AI Experts: Connect with industry leaders and peers at the forefront of innovation.

Don’t miss this opportunity to stay ahead in the rapidly evolving field of AI.



SPEAKER

Neha Bawja Image

Neha Bawja
Vice President, Product Marketing, Neo4j

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