Archived Webinar

Leveraging Big Data and Collaborative Investigations for Fraud Prevention

Originally Presented: August 14, 2019

In an evolving financial crime landscape, financial institutions must embrace innovative approaches to proactively prevent fraud and combat crime-ring activity.

Join us for this insightful session to learn how financial institutions can leverage big data, machine-learning technology and 314(b) information sharing for effective fraud prevention. This includes proactive trend identification, reduction in false positive results and collaborative investigations of multi-institutional crime-ring activity.

Highlights of this webinar:

  • Limitations of conventional fraud prevention approaches that rely on limited data sets and approaches in today’s increasingly complex financial crime landscape
  • Big data intelligence approach for financial crime management that leverages machine-learning technology and information sharing to mitigate losses and prevent fraud
  • Walk-through of a real-life crime-ring case to learn how data and technology played a critical role to enhance detection, strengthen investigations and improve reporting to law enforcement
  •   314(b) Information Sharing
  •   Artificial Intelligence
  •   Cloud Technology
  •   Crime Rings
  •   FRAMLx
  •   Fraud

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