Client: An American multinational consumer credit reporting agency and is one of the three largest agencies.

Problem:

The company collected and aggregated information on over 800 million individual consumers and more than 88 million businesses worldwide to create insights that help organizations make more informed decisions. Risk models eventually become less predictive or relevant due to evolving market conditions.

They wanted to leverage Artificial Intelligence for explainability and bias detection within their mortgage underwriting decisions. The situation demanded the need for an integrated platform for data scientists equipped with accelerators and tools to experiment, discover, share, and deliver insights.