Probabilistic modeling is a mathematical framework used to represent uncertain events and complex systems by employing probability distributions to capture the inherent randomness and variability. It allows for the prediction, inference, and decision-making processes by quantifying uncertainty and integrating it into models, thus providing a more comprehensive understanding of real-world phenomena.