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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