Sponsored
Opening the “Black Box”: The Path to Deployment of AI Models in Banking
Summary
Download this white paper to get an overview of AI and machine learning in banking; a summary of the regulatory background and the machine learning model lifecycle; and an overview of the challenges and emerging best practices for the validation of models.
Recent technological advancements have accelerated the integration of AI and machine learning models into more and more banking processes. However, model risk must be effectively managed. If left unchecked, the consequences of model risk can be severe. AI and machine learning models require constant monitoring and effective validation—this is not only a regulatory requirement but also sound business practice.
This white paper from DataRobot and Avantage Reply presents the cornerstones of effective modern model risk management in the age of AI and machine learning.
Note: All downloads and related contact information will be accessible to this white paper sponsor.