Collaboration between actuaries and industry professionals ensures that research aligns with real-world challenges and regulatory requirements.
The CAS Research Council oversees and funds research efforts to advance actuarial methodologies and industry practices.
Predictive analytics help actuaries assess future risks more accurately, leading to better decision-making in underwriting and pricing.
Machine learning has revolutionized actuarial research by improving predictive modeling and data analysis capabilities.
CAS actuarial research focuses on improving risk assessment models and predictive analytics for the insurance industry.
Big data has allowed actuaries to analyze large datasets more efficiently, leading to improved risk predictions and underwriting models.
