Five AI Solutions Every Chief Risk Officer Needs

Managing risk within a bank is a massive undertaking.  To stay relevant, today’s Chief Risk Officer must embrace artificial intelligence (AI) and machine learning . Unfortunately, many banks are struggling to understand what machine learning is, let alone how it can improve their risk management practices.

 

The good news is that technological advances in machine learning are bringing AI solutions into reach for everyone at a much lower cost and a much higher ROI. The bad news is that your competitors are racing to modernize their risk teams as well.

This report describes five key AI use cases that every Chief Risk Officer needs to address:

  • Anti-Money Laundering and Know Your Customer
  • Fraud Detection/Prevention
  • Streamlining Model Risk Management
  • Credit Risk & Loss Forecasting
  • Targeted Risk Review
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