Description: Dive into this review on Artificial Intelligence and Machine Learning (AIML) techniques for actuarial modeling for life & annuities. Presenters will showcase learnings from the recent SOA research paper "Predictive Analytics and Machine Learning – Practical Applications for Actuarial Modeling" (Nested Stochastic). The researchers will go over models and methodologies used to develop high-fidelity proxy models for various life & annuity applications.

Description: This paper examines the discrepancy that seems to exist between classical financial theory and the widely adopted portfolio selection theory, and proposes that the roles of agents and the interests of corporate insiders need also to be considered. From Current Pension Actuarial Practice in Light of Financial Economics Symposium, M-RS04-1.