Improving fraud detection and investigation with machine learning and graph analytics
Fraud is estimated to be a $5 trillion problem worldwide, yet financial institutions and government agencies are equipped with legacy technology that fails to keep up.
In this session, we'll look at how combining graph analytics and machine learning can lead to more accurate detection by going beyond simple rules to catch fraudsters, reduce false positives, and speed up your investigations.
Key topics include:
- Why graph analytics and machine learning are complementary in the fight against fraud
- Combining Linkurious Enterprise + Neo4j + Dataiku + DSS
Jean is the co-founder and head of sales at Linkurious. He has worked with several Fortune 500 companies to help them find insights in complex connected data. Previously he worked in the consulting industry on R&D projects and in sales. Jean double-majored in both political sciences and competitive intelligence.