
Machine Learning (ML) is revolutionizing the financial services landscape, specifically in the realm of embedded lending risk analysis. By embedding lending capabilities directly within non-financial services and products, businesses are offering seamless financing options. However, this integration brings complex risk evaluation challenges. ML answers these challenges with algorithms that excel in interpreting massive datasets, enabling lenders to predict creditworthiness with