Dev Conference by Neo4j
Session Track: Data Science
Session Time:
Session description
You will see a demo and learn how to run the most extensive graph algorithm library available—Neo4j's Graph Data Science—available through Snowflake Marketplace. Create graph projections and run algorithms using SQL, which can be run with a SELECT statement. While making use of ephemeral compute within Snowflake compute pool using the fully managed Snowpark Container Service (SPCS) offering. So that you can enhance your AI and data science workflows with graph vectors for GenAI along and graph algorithms for exploratory data analysis (EDA) and feature engineering.
Product Manager, Neo4j
Stu Moore is a Product Manager for Neo4j Database based in London, he has 13 yrs product management experience building products for the Enterprise including analytics & machine learning, a SaaS platform for Windows containers and products for Citrix and VMware.
Graph Data Science & AI Specialist, Neo4j
Zach Blumenfeld is a Data Science Product Specialist at Neo4j who helps empower the market with Neo4j’s industry-leading graph data science capabilities. He has first-hand experience with various modern-day DS/ML challenges, including criminal fraud detection, identity resolution, and recommendation systems. Having served in both data science and software developer capacities, Zach has applied graph computing to law enforcement and government entities in support of missions that counter drug trafficking, human smuggling, money laundering, and child exploitation. He has led the development and deployment of full-stack graph systems designed to facilitate broad data science and operational requirements.
