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Start Time:
03:50PM
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End Time:
04:10PM
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Day:
Day 1
Talk:
- 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.
Associated Speakers:
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Alberto De Lazzari
Chief Scientist
LARUS Business Automation
03:50PM - Day 1
View Graph-AI to Combat Fraud in Fintech sector
Filippo Minutella
Artificial Intelligence Engineer
LARUS Business Automation
03:50PM - Day 1
View Graph-AI to Combat Fraud in Fintech sector