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Deep Dive: Graph Analytics for Fraud Detection
Graph data science harnesses the power of connections to analyze data relationships, detect suspicious patterns and prevent fraudulent transactions.
Join us for this webinar for a deep dive into graph analytics for fraud detection where we will discuss:
– How to use graph data science to prevent fraud
– How to improve fraud detection with graph feature engineering
– How graph analytics benefit even non-technical fraud investigators
– Amy Hodler, Graph Analytics & AI Program Director, Neo4j
– Dave Voutila, Solutions Engineer, Neo4j