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
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10%- Fraud Losses
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Everything about this is SIMPLY BRILLIANT!
1- The attention to details is stunning
2- The whole thing is very well-organized, whether in terms order or sections
3- The objectives are stated clearly
4- The objectives of each section is linked to the main objective so everyone would be able to follow/keep up
5- Building a knowledge in a top-down or a flipped pyramid manner where the business knowledge base is built (with references) so that anyone (whether business or technical specialists) who will contribute in the project would know where their role lies in the big picture
6- The technical side is driven from a very well-documented business background, and that allows the technicians to be creative in finding solutions and serving the article’s objectives based on their deep understanding of the business side
7- Providing a variety of references and cases shows the urge and eagerness to help people out, and the captions under each section is very descriptive and to the point
8- The (data) sources are very rich, and being flexible with them is a huge plus
9- The interface and UX is very appealing and user friendly
10- The Discussion section is a way to go in trying to reach the best practice
Can’t wait for this thing to be officially launched and go as far as it gets.