“We’ve been able to standardize the data, the know-how, and the ways of collaborating amongst ourselves and with our customers so that they can see the work we’re doing, as we do it. Domino accelerates our speed to delivery, providing a much faster and better return on our modeling investment.”
Data Science at a Fortune 500 Global Financial Services Leader
Learn how this global financial services organization is transforming every part of its business using data science—from underwriting to customer service to human resources (HR).Read the case study
Driving Customer Value and Efficiency by Transforming Model Development and Deployment
Learn how a more than 50% reduction in the time to move models into production enables Moody’s Analytics to get information into the hands of clients faster.Read the Moody's case study
Model Risk Management in Domino
Model Risk Management is a framework that combines sound governance principles with end-to-end documentation in the design, development, validation, and deployment of new models in the business. It is an essential part of the model development process, particularly in financial institutions where the cost of failure in meeting regulatory standards is severe.
Change Management: Winning Over AI Skeptics in Banking & Beyond