The Power to Say Yes to the Right Person More Often
Neural network technology is shrouded in mystery. It’s commonly referred to as a “black box” where data goes in, but nothing comes back out. There’s a common misconception that neural networks offer no transparency, so therefore cannot be used for credit risk decisioning. As such, lenders continue to rely on traditional credit scoring models that most likely us logistic regression. Unfortunately, reliance on traditional models can lead to an applicant being turned down, who might otherwise be approved based on advance decisioning techniques such as neural networks. Amy Graybill, Vice President of Enterprise Insights & Core Data Products at Equifax dispels the myth of the black box and shares how neural networks can be used in credit risk decisioning, helping lenders say yes to the right applicants more often.