Case Study: Automated machine learning solutions drive better modeling results and a more controlled process in loss forecasting.

A Top 10 bank relied on traditional statistics to forecast credit losses and make decisions based on those insights. Their processes were labor-intensive and complex, and as a result did not deliver insights to leadership quickly enough to drive decision-making. 

We reimagined this process to create a simplified platform based on extreme automation and machine learning to deliver more accurate results in half the time. We gave leadership the insights and confidence to take action.

Case Study: Superior Forecasting Through Machine Learning