Artificial Intelligence & Machine Learning , Electronic / Mobile Payments Fraud , Fraud Management & Cybercrime

Key Trends in Payments Intelligence - Machine Learning for Fraud Prevention

A multi-faceted strategy can turn fraud prevention expertise into a revenue generator for the business.

Banks can drive real value to their fraud prevention strategies with machine learning and analytics if they cut through the hype. Machine learning can be made 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 and hear Marc Trepanier, Principal Fraud Consultant at ACI Worldwide, and leading industry analyst Julie Conroy of Aite Group 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.

About the Author

Information Security Media Group

Information Security Media Group (ISMG) is the world's largest media company devoted to information security and risk management. Each of its 28 media sites provides relevant education, research and news that is specifically tailored to key vertical sectors including banking, healthcare and the public sector; geographies from the North America to Southeast Asia; and topics such as data breach prevention, cyber risk assessment and fraud. Its yearly global Summit series connects senior security professionals with industry thought leaders to find actionable solutions for pressing cybersecurity challenges.




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