Session will demonstrate how to build a unified customer graph in Neo4j with identity resolution and household detection, enrich it with GraphRAG-powered insights from unstructured data (support tickets, reviews, chat logs) and activate personalized experiences. You'll learn how to stream customer events from Kafka/Kinesis into Neo4j for sub-second identity stitching, use GraphRAG to extract sentiment, intent and relationship signals.

This session focuses on the operational "last mile", turning graph insights into revenue-generating actions with measurable lift and full auditability.