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):

• William Badinelli, CAMS, Managing Director, Internal Audit, JPMorgan Chase & Co.

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