AI-Assisted Customer Segmentation with Neo4j Graph Analytics for Snowflake
Thursday, March 19
8:00am PT
30 minutes
AI is changing how business problems are solved. By integrating Graph Analytics for Snowflake with Cortex, marketing teams can simply ask smart assistants to both segment their customer data and write impactful promotional material.
Graph Analytics + Cortex delivers better customer segmentation than traditional approaches, which often struggle with the interconnected nature of customer behavior. When interactions are reduced to tables and aggregates, critical relational signals are lost.
In this session, Ben Squire of Audience Acuity discusses how leading marketing teams are using connected data to better understand customers, identify meaningful segments, and improve recommendation performance. He shares real-world perspectives on where standard approaches break down—and why graph-based techniques are proving more effective.
Next, we dive deep into how Neo4j Graph Analytics for Snowflake applies graph algorithms directly to data within the Snowflake AI Data Cloud. You discover why graph algorithms consistently outperform traditional methods for segmentation and explore how to generate these insights in Cortex—eliminating ETL processes and infrastructure overhead entirely.
You’ll learn:
- Why customer segmentation benefits from graph-based approaches
- How graph algorithms reveal customer similarity, communities, and product affinity
- How to run graph analytics directly in Snowflake using elastic, serverless compute
