In this session, industry experts will discuss the evolution of financial crime and how financial institutions can embrace innovative approaches to proactively prevent fraud and combat crime-ring activity. 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.

You Will Learn How To:

• Identify the limitations and challenges of conventional fraud prevention approaches that rely on limited data sets and approaches in today’s increasingly complex financial crime landscape
• Assess how financial institutions can leverage big data, machine-learning technology, and 314(b) information sharing to mitigate losses and prevent fraud
• Review a real-life crime-ring case, discovering how data and technology played a critical role to enhance detection, strengthen investigations and improve reporting to law enforcement