Flag unusual transactions and behaviors that might indicate fraud attempts. Analyzing historical transaction patterns per customer/customer segment, spot anomalies. Examples of fraud include credit card fraud, loan fraud fraud, on-boarding customers fraud
Business value: Reduces Fraud Loss, Gain Customer Trust, and Improve Customer Experience.
Understand the Use-case under 5 minutes
Get to know more Business and Technical details about the use-case (15-30 minutes)
More detailed introduction covering business and technical aspects
Case studies, Organizational Aspects, Return on Investment examples
More details on the technical aspects of the use-case
Technical resources that will help you implement the use-case (notebooks, tutorials..)
Data Sets you can use to build Demos, POCs, or test Algorithms
Off-the-Shelf Products using AI for Fraud Detection
Got a Question or a Resource to share with the Community? Please do!
Please log in again. The login page will open in a new tab. After logging in you can close it and return to this page.