Despite growing competition, the lending industry remains largely reliant on legacy systems that use hard-coded business rules and manual processes that lack efficiency and are susceptible to human error. Over time, hard-coded logic is risky for any lender. It requires developer time and effort for every new rule or calculation change. There is also little to no transparency into hard-coded rules, preventing the business from catching errors or knowing with certainty which rules are active at any point in time.
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...