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

Speaker(s):

• William Badinelli, CAMS, Managing Director, Internal Audit, JPMorgan Chase & Co.
• Jason Chorlins, CPA, CFE, CAMS, Principal, Banking Practice Leader, Kaufman Rossin