Deploying Graph Agents in Cortex with Neo4j Graph Analytics for Snowflake

Thursday, April 16
8AM PT
45 minutes

AI is changing how business problems are solved. By combining Neo4j Graph Analytics for Snowflake with Cortex, teams can use AI agents to ask questions in plain language, whether that’s segmenting data, exploring relationships, or generating insights and content.

In this webinar, we’ll demonstrate how a Cortex agent works within the Neo4j Graph Analytics native Snowflake app. Using real-world flight data as an example, you’ll see how the agent identifies relationships hidden in tabular data and turns them into a connected view of your business.

You’ll also see how the agent understands natural language questions and selects the right approach to answer them—like identifying major choke points in a network, simulating the impact of an airport closure, or finding the best way to reroute a traveler. By the end of the session, you’ll have a clear understanding of how AI-powered graph agents can make complex analysis more accessible, faster, and easier to apply to real-world problems.

You’ll learn:

  • How to use Graph Analytics for Snowflake with Cortex AI
  • How graph can solve complex interconnected problems in the aviation industry
  • How to run graph analytics directly in Snowflake using elastic, serverless compute

Join us to see how graph analytics can deliver deeper, more explainable insights—without leaving Snowflake.



SPEAKERS

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.
Olga Razvenskaia Image

Olga Razvenskaia
Senior Software Engineer, Neo4j

Olga is a senior software engineer at Neo4j with over 10 years of experience building tools related to graphs and mathematics. She has worked with many different users, including data professionals, scientists, and researchers.
She has a PhD in discrete mathematics and is very interested in the possibilities that graph technology can offer.
Right now, Olga is working on bringing Graph Data Science (GDS) features into Snowflake, with the goal of making graph insights easier for more people to use.

Save Your Seat