Uncover hidden relationships and activity patterns with a unified 360 degrees customer view
Pattern recognition allows for better detection of sophisticated fraudulent activities
Meet the demands of regulators and clients with explainable AI
A retail bank in South East Asia employed machine learning for case prioritization and financial crime risk assessment.
1) Improved employee productivity with less time spent on false positive cases
2) Better detection of indirect relationships and hidden connections
3) New fraud cases are caught automatically without a need to update rules