
Actuarial departments in the modern insurance landscape are currently standing at a technological crossroads where the historical reliability of statistical methods meets the disruptive efficiency of advanced algorithmic processing. The industry standard has shifted from a binary choice between transparency and accuracy toward a sophisticated synthesis that leverages the best of both worlds. While Generalized Linear Models (GLMs) provide a










