Description: In this session a panel of industry experts from the life insurance industry will examine the modeling challenges created by increased investment in more esoteric assets.

Description: How do we take a Minimum Viable Products (MVP) approach to launch new insurance products? Join this moderated discussion and focus on three key development aspects: Distribution, Systems, and the design and pricing of the Insurance product itself. Come discuss reasons to choose an MVP approach and how it solves many of the product launch challenges.

Description: Welcome to the future of insurance, for actuaries and non-actuaries! Discover how cutting-edge AI models are revolutionizing underwriting, risk assessment, and customer experience for the insurance industry. Experts in management consulting and actuarial consulting firms will provide valuable insights into the consideration and challenges surrounding the adoption of Generative AI.

Description: To complement the limitations posed by the static nature of current survey papers in cyber risk literature and to facilitate cyber risk research, this project features a Natural Language Processing (NLP)-powered repository and search tool “CyLit” built by the authors.

Description: The scope of this paper is to provide a technical overview of the tools and disciplines currently in AI as well as the forces at work that financial institutions such as insurance companies are using to modernize their analytical processes.

Description: Speakers discuss how to develop alternative or improved processing methodologies to reduce errors, correct error tracking tools, and metrics. Participants discuss balancing reasonable testing given time constraints. From the Record of the Society of Actuaries, Volume 27, No. 2, Session 47IF of the Toronto Spring Meeting

Description: The 1996 Valuation Actuary Symposium Proceedings, Session 15 looks at issues small companies face.

Description: Research paper describing past and future in Information Technology. Contents based on address given at the 16th Annual Actuarial Research Conference

Description: This paper stresses the importance and value of information databases. From Actuarial Research Clearing House 1993, VOL. 3.

Description: Big data and predictive models have disrupted the life insurance new business and underwriting processes over the past few years. How did we get here? What does the future hold? This session will review the lessons learned from the evolutionary process and discuss what the potential next steps are in this journey. Are real time fully underwritten decisions an achievable goal?