Description: A contract owner selects a payout for his annuity using an AI/bot. The AI/bot presents various options with differences in payment and interacts with him in a simulated chat session. He decides on the form of payout. Compared to regular customer service the AI/bot was an improved experience with a call to action for the industry to build it.

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: A description of Data Science best practice tools and how they can apply to general actuarial work.

Description: Come gain insights into the techniques used in Machine Learning and its applications. You'll discover the key technological advances in recent years which were behind and ultimately facilitated the breakthroughs including ChatGPT/GenAI. It's time to uncover real-world use cases where AI models and their transformative impact on our lives.

Description: Cluster modeling is emerging as a powerful technique to manage cloud costs and run time. It also enables quick responses to "what if" scenarios, and aids in attributing results between reporting cycles. In this webcast, we provide insight into cluster modeling, present case studies that focus on various key performance indicators and discuss the benefits and challenges to cluster modeling from an insurer’s perspective. We also discuss the considerations associated with moving from an on-prem based computing solution to a cloud-based approach.