Mr. Nihar Malali

Advanced AI for Risk Modeling and Actuarial Science

Abstract:

Artificial Intelligence transforms actuarial science and risk modeling by enhancing predictive accuracy, improving decision-making, and enabling real-time risk assessment. This presentation explores how AI-driven stochastic modeling revolutionizes insurance pricing and risk prediction. We will delve into the role of Bayesian Networks and Monte Carlo simulations in probabilistic risk assessment, demonstrating their impact on improving uncertainty quantification and scenario analysis. Additionally, we will contrast Causal AI and Correlational AI in financial risk forecasting, highlighting why understanding causal relationships is crucial for robust decision-making in dynamic economic environments. Attendees will gain insights into cutting-edge AI techniques that are reshaping actuarial models, improving underwriting efficiency, and driving the future of risk management.