Description: The document is about the post-wildfire drinking water crisis and its implications for the insurance industry. It discusses the contamination of drinking water systems by wildfires, remediation strategies, financial considerations for the insurance industry, and potential contributions from the actuarial community.

Description: Become informed about the approach and adverse effects of the regulation of third parties and advance consent by the proposed NAIC Consumer Privacy Protection Model Law #674. You will hear an explanation of the regulation of third parties through their contracts with insurers. Learn specifics on the negative effect on companies contracting with third parties. Find out more about the requirement for advance consent for use of personal data for actuarial and marketing studies, and hear two potential solutions .At the conclusion of this session, you should be able to explain concerns about contracting with third parties for external data under the Model Law and learn potential solutions to using personal data for actuarial and marketing studies.

Description: Dive into the approach and adverse effects of the regulation of 3rd parties and advance consent by the proposed NAIC Consumer Privacy Protection Model Law #674. The regulation of 3rd parties through their contracts with insurers will be explained. Specifics will be provided on the negative effect on companies contracting with 3rd parties. The requirement for advance consent for use of personal data for actuarial and marketing studies will be explained, and two potential solutions will be presented.

Description: Walk through real-life examples of how artificial intelligence (AI) can be used to drive insights and aide actuaries in improving the management of their company's inforce book of business. Hear a panel of experts go step-by-step through case studies, showing how practitioners leveraged predictive analytics for solutions to tap further into their data and draw improved insights.Leave the session with knowledge of how to partner advanced machine learning techniques with the actuarial skills and insights to better understand policyholders' behavior to more efficiently enable accelerating revenue and further profit realization.

Description: Come discuss how to treat experience that is impacted by COVID (e.g., 2020+), as well as expected experience moving forward in terms of excess deaths related to COVID and non-COVID topics. Expect to also cover how the COVID period has impacted lapse/surrender behavior and trends in recent industry mortality and lapse studies that have been conducted including areas where individual companies typically have limited data. You will learn about various techniques of adjusting experience for the impact of COVID and the considerations in using such experience and setting a best-estimate assumption going forward. For mortality, the discussion will include both base mortality as well as future mortality improvement and the intersection of both of these.Explore an understanding of available data to supplement their experience in areas where they may have limited internal experience

Description: Discuss how to treat experience that is impacted by COVID-19 (e.g., 2020+) as well as expected experience moving forward in terms of excess deaths related to COVID and non-COVID topics. The session will also cover how the COVID period has impacted lapse/surrender behavior and the trends that we can expect going forward. Learn about various techniques of adjusting experience for the impact of COVID and the considerations in using such experience and setting a best-estimate assumption going forward. For mortality, the discussion will include both base mortality as well as future mortality improvement and the intersection of both of these.

Description: Discuss population mortality improvement trends in the U.S. This will include analysis of cause of death data and trends in mortality pre-pandemic and during the pandemic. We will also discuss ways to think about translating population mortality improvement to an insured population.Learning outcomes includea better understanding of the drivers of recent mortality improvement and insights on how to create a company view on mortality improvement.

Description: This data request is for a study focusing on surrender/lapse, withdrawal, living benefit utilization, annuitization, and premium deposit experiences. The study aims to provide detailed analysis and insights into fixed indexed annuity contract activities.

Description: Open source programming languages have become a common part of the actuarial toolkit over the years. Using tools like R and Python, highly technical actuaries can automate onerous processes, easily work with massive amounts of data, create models and generate reports. Although these tools excel at turbo-charging analysts, it can be difficult for benefits to inure to the rest of the organization given the learning curve (“Can’t you just put this in Excel?”), control risks (“So your entire process could break overnight if some random person in Nebraska changes something?”), and internal IT environments. Listen in on a panel discussion where presenters share their personal stories of working with open source in a production setting. Hear about real world business problems, how open source tools were used, what risks were present, how they were overcome and the final business result.

Description: The Society of Actuaries Research Institute (SOA) and LIMRA are soliciting surrender and lapse experience for individual Term and Whole Life policies for calendar years 2015 through 2022 to be used to complete a 2015-2022 Term and Whole Life Lapse and Surrender Experience Study (Study).