Can't attend? Register here for an on-demand recording after the webcast.
Date: Wednesday, July 14, 2021
Time: 2pm ET | 11am PT
Sponsored by: NICE Actimize
FinCEN is reporting a steady increase of SAR (suspicious activity report) filings over the years - 2.5 million SAR filings alone in 2020. The average alert-to-SAR ratio of legacy FRAML (fraud and anti-money laundering) rule-based system is 18 percent, which means that over 13 million alerts have been generated, an average of 35,616 alerts per day.
As fraud and money laundering schemes get increasingly complex, your CU needs to stay ahead. A legacy FRAML simply cannot keep up. It’s time for your credit union to automate its fincrime platform to spend time investigating fraud instead of administrating it.
Join this webcast to learn:
The advantages of AI-first approach for uncovering fraud in real time
How Unsupervised Machine Learning can reduce gaps and speed up fraud prevention
How a proactive FRAML approach will save time and money allowing you to increase member benefits
Eric Tran-Le | Vice President, Head of Actimize Premier | NICE Actimize
Andrew Corbett | Solutions Consultant | NICE Actimize
Offered Free by: Credit Union Times
See All Resources from: Credit Union Times
This download should complete shortly. If the resource doesn't automatically download, please, click here.