Artificial intelligence (AI) and machine learning (ML) solutions are transforming the banking industry and particularly in the field of model risk.

Academia and practitioners believe that AI/ML may improve efficiency and reduce cost of back-testing and model validation. However, the long-term effects of applying machine learning are poorly understood due to the 'black box' character of these models. This and other challenges with AI/ML adoption (data assessment for high volume and dimensionality, model documentation code assessment, etc.) increase regulatory scrutiny for how risk models are built, tested, and documented.

Join us at this intimate dinner where we will discuss the rapid evolution of AI in risk management and finance. Expand your knowledge and exchange global perspectives and views on AI in model risk with SAS customers and partners while you enjoy an elevated dining experience.

Seating is limited to senior level executives and will be offered on a first come, first served basis.

Register now for this event