Introduction The insurance industry has always relied on data to evaluate risk, set premiums, and maintain financial stability. Traditionally, actuarial science used historical data and statistical models to predict future claims and losses. Says Stuart Piltch, however, the advent of predictive analytics and machine learning (ML) has transformed this process, enabling insurers to assess risk with […]