Financial Fraud Analytics
Global Financial Firm Reduced Financial Risk Using AI for Fraud Detection
Detect and prevent fraudulent transactions using artificial intelligence
The client is a global banking and financial software firm – provides banks and corporates with solutions that enhance, streamline and secure the payments life-cycle
Anblicks helped the client Detect and prevent fraudulent transactions using artificial intelligence.
- Developed a self-adapting system that has mechanisms of soft thresholds for establishing and interpreting normal patterns
- NLP and ML based platform (leveraging RapidMiner) using multiple techniques including rule based, supervised and unsupervised machine learning
- 90% accuracy for detecting fraudulent transactions before payments are processed
- 85% savings in operating costs using comprehensive alerts dashboard and explanations
To know more about how Anblicks helped the client in overcoming its business challenges, and it provided a competitive edge to the client, download the detailed case study by filling the form:
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Keyur Ranpura work as a Lead consultant at Anblicks Inc. Where he works on cloud computing, Networking & Project Management with technical expertise in the implementation, operations and support functions of mission-critical business solutions using IT as a tool. He holds an engineering degree in Computer Science. He got certified on AWS and Azure in architect level. His hobbies include music and painting.