Effectively managing model risk is critical as more business processes are relying on machine learning models for decision making. This trend has emphasized the importance of model risk management, which in particular has become a hot topic in the regulatory and compliance-rich industry of financial services.
With DataRobot, financial institutions now have a tool that will not only automate the building of highly accurate machine learning models but also automates the documentation required for model risk management.
This executive briefing covers:
- The challenges - and need - for effective model risk management in today's regulatory environment
- How an automated process delivers efficiency, consistency, and speed to the model risk management workflow
- The importance of challenger model benchmarking to model risk, and how DataRobot accomplishes it
- An introduction to DataRobot AI Services for Model Risk Management and how they can jumpstart your efforts