Description
• Distinguishing AI, machine learning and robotic process automation to identify discrete risk management uses such as predictive capacity, client segmentation and monitoring
• Augmenting manual reviews and legacy systems with data analytics to boost oversight efficiencies and elevate accuracy in alert generation, investigation and resolution
• Auditing AI and machine learning systems to analyze systemic issues such as data quality, currency of risk models or algorithmic bias and take corrective actions as warranted
Moderator(s):
Speaker(s):
- Vikas
Agarwal,
Principal, Financial Crime Technology,
PwC
- Adrianna
Bailey,
Associate Deputy Comptroller for BSA/AML Supervision,
Office of the Comptroller of Currency
- Jason
Chorlins,
CPA, CFE, CITP, CIS, CAMS,
Principal Banking Practice Leader, Risk Advisory Services,
Kaufman, Rossin & Co.
- Peter
D. Wild,
CAMS-Audit,
Founder,
Wild AML Solutions
