Mortgage lenders in the United States originated almost $1.8T in loans in 2017. However, despite the size and growth of the mortgage industry, it remains largely reliant on legacy systems that use hard-coded busi- ness rules and manual processes that are susceptible to human error. Over time, hard-coded mortgage logic is risky for any lender. It requires developer time and effort for every rule or calculation change.
InRule | Machine Learning ML Studio
Traditional machine learning (ML) platforms only deliver a prediction and confidence score. InRule’s predictions with the why® provide the detailed...