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    Day 1


  • Fraud, especially its dynamic nature, is a major area of concern requiring significant time and resources to isolate from an enormous volume of transaction data.  
  • We have developed an innovative new composite AI based solution that combines graph-rule-based with graph-supervised-learning coupled with explainability to address this problem.  
  • The talk is based on a real world Graph AI (GAI) project undertaken by Larus, Inc. and Fujitsu Research. The project evaluated the incorporation of GAI technology from Fujitsu (Deep Tensor) into an existing rules-based credit card fraud detection application developed by LARUS.