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Model Risk Management with DataRobot

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.

In addition, the DataRobot AI Platform provides the banking-specific experience and expertise to help organizations quickly and easily get up-and-running with their improved model risk management efforts, offering insights and practical support for building and deploying models, creating challenger models for compliance, and automating documentation to streamline regulatory compliance efforts.

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
DataRobot is an indispensable partner helping us maintain our reputation both internally and externally by deploying, monitoring, and governing generative AI responsibly and effectively.
Tom Thomas
Tom Thomas

VP of Data Strategy, Business Intelligence, & Analytics, FordDirect

The generative AI space is changing so fast but the flexibility, speed, and interoperability of DataRobot is helping us stay on the cutting edge. And, DataRobot’s team of GenAI experts have been true partners on our journey, helping us navigate the real concerns to apply generative AI in meaningful and safe ways.
Rosalia Tungaraza
Rosalia Tungaraza

Ph.D, AVP, Artificial Intelligence, Baptist Health South Florida

DataRobot provides us with innovative ways to test new ideas. Given a problem and a dataset, DataRobot allows us to generate multiple prototypes 20% faster. And the process facilitates the learning evolution of our data scientists.
Diego J. Bodas
Diego J. Bodas

Director of Advanced Analytics, MAPFRE ESPAÑA

The value of having a single platform that pulls all the components together can’t be underestimated. Then there’s the combination of the technology and the collaborative DataRobot team. If either one of those wasn’t there, I would have looked elsewhere.
Craig Civil
Craig Civil

Director of Data Science & AI, BSI