Machine Learning Modeling for Better, Faster, Cheaper Insurance Underwriting

There is a lot of value locked up in past policy records. Trends, inefficiencies and loads of other insights for data scientists with access to large data sets. But reading and extracting it in the amounts needed is arduous and expensive. At least for human beings.

Download this SS&C Chorus case study to see how document automation helped a Top 5 insurer crunch through 56 million pieces of paper to save $10M a year.