Machine Learning for Fraud Prevention
How banks can leverage machine learning in their journey to payments intelligence
Machine learning can be leveraged as part of a multi-faceted fraud prevention strategy to derive payments intelligence that improves the end-to-end customer experience.
Banks can drive real value to their fraud prevention strategies with machine learning and analytics by making it intuitive and available directly to fraud experts. A multi-faceted strategy can turn fraud prevention expertise into a revenue generator for the business.
Watch this webinar from Marc Trepanier, Principal Fraud Consultant at ACI Worldwide, and leading industry analyst Julie Conroy of Aite Group as they discuss real-life use cases that demonstrate how banks can:
- Improve data management control costs while reducing the compliance and regulatory risks
- Utilize intuitive machine learning technology to reduce their model development process to a few hours
- Leverage fraud risk partners in an intelligence ecosystem to layer fraud prevention and detection
- Apply payment insights to improve the customer experience in digital transformation projects
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