| SGF |
2020 |
Deploying Machine Learning Models in an Anti-Money Laundering (AML) Program |
Beth Herron, Saurabh Duggal |
source |
11 |
| SGF |
2020 |
Enhance Customer Risk Scoring by Quantifying the Opportunity to Commit Financial Crime |
Steve Overton |
source |
14 |
| SGF |
2019 |
Combating Fraud and Financial Crime Effectively by Empowering Data Scientists Using SAS Viya |
Steve Overton |
source |
10 |
| SGF |
2018 |
Discovering Insightful Relationships inside the Panama Papers Using SAS Visual Analytics |
Stephen M. Overton |
source |
21 |
| SGF |
2018 |
Harvesting Unstructured Data to Reduce Anti-Money Laundering (AML) Compliance Risk |
Austin Cook, Beth Herron |
source |
10 |
| SGF |
2013 |
Next-Generation Detection Engine for Fraud and Compliance |
Ryan Schmiedl |
source |
6 |