Analytical Predictions for Audit Expectations | Siying Wang

How can analytical predictions support the development and evaluation of audit expectations? In this presentation, Siying Wang discusses the use of analytical prediction methods in auditing. The session explores how data-driven approaches can help auditors develop more informed expectations, identify unusual patterns, and strengthen analytical procedures. Presented by: Siying Wang Research contributors: Melissa A. Dardani Yu Gu Miklos A. Vasarhelyi Siying Wang Event: Artificial Intelligence Applications in Accounting Date: June 12, 2026 Hosted by: Rutgers CARLab and the ISACA New Jersey Chapter Subscribe for more presentations on audit analytics, artificial intelligence, accounting research, and emerging technologies. #AuditAnalytics #ArtificialIntelligence #PredictiveAnalytics #Auditing #Accounting #Rutgers #CARLab #ISACA