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
