Description: True diversity and belonging happens we create opportunities to learn and make connections. In addition, when companies increase employee visibility and embrace the future, measurable results can be achieved. This session will help attendees better understand ally ship and workplace inclusion. Moreover, key DEI definitions and current concepts will be shared with attendees.

Description: Amid macroeconomic uncertainty, proactive lapse management is becoming a growing strategic focus for Life and Annuity carriers. Interest rates have been increasing rapidly during the last eighteen months and insurers, especially annuity writers, have started to see higher lapses and withdrawals. After a prolonged low interest period, many insurers will have to (re)build capabilities to enable proactive lapse management.

Description: Every year an AI topic goes through a hype cycle. Since 2022 and now in 2023 we continue to hear more about the ChatGPT models and how an everyday person is able to interact with AI. As more startups and applications are riding the hype, what does it all mean for our industry? Is this just a buzz or real? This talk intends to cover at a high level what are large language models, what does it mean for audit or regulatory space, and what might be some pitfalls or tolerance of error when it comes to selecting a right application for such models in insurance use cases.

Description: Review the passing candidate list by number for SOA’s January 2024 administration of exam SRM.

Description: Review the passing candidate list by number for SOA’s January 2024 administration of exam P.

Description: Review the passing candidate list by name for SOA’s January 2024 administration of exam SRM.

Description: Fill out and submit this form to register for the 2024 China Symposium.

Description: Boost your actuarial career and learn about the SOA, the word's largest actuarial society. This webcast is designed for Spanish/Portuguese speaking audiences.

Description: Dr. Erica Thompson, author of “Escape from Model Land” will discuss how to tackle data bias in models. She is an Associate Professor of Modelling for Decision Making at University College London, Department of Science, Technology, Engineering and Public Policy.