Neo4j Ask the Expert: Build a knowledge graph from your existing data, fast

Tuesday, November 17
9:00 am PT | 12:00 pm ET
45 Minutes

Most AI initiatives never reach production. Models trained on clean pilot data struggle with fragmented real-world systems, leaving AI without context and eroding trust.

The knowledge layer is the glue that helps AI understand how facts relate, what has changed, and what was previously decided.

Getting started is easy. Build a knowledge graph from documents with Document Intelligence, or from your lakehouse with Virtual Graph, without moving any data. 

Join our Ask the Expert session on November 17 to learn why the knowledge layer is the missing ingredient for better AI.




What to expect 

  • Expert insights: Understand how the knowledge layer makes use of existing data investments for accurate, explainable AI.
  • Practical guidance: See how to get started adding a knowledge layer to your agentic models, using the data you already have.
  • Live Q&A: Bring your questions and get answers on your real-world challenges, live. These sessions are built for open interactive dialogue to leave with actionable answers.


Bring Your Questions. Leave with Answers. 

Register now to connect directly with Neo4j experts



SPEAKER

Corydon Baylor Image

Corydon Baylor
Sr. Manager, Technical Product Marketing, Neo4j

Corydon has nearly a decade of experience in data science consulting and currently works as a technical product marketer focused on Graph Analytics at Neo4j. He is interested in how graph algorithms can help businesses uncover relationships, improve decision-making, and maximize ROI, and is the author of A Practical Introduction to Graph Algorithms.

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