Description: The InsurTech industry continues vibrant activity. Some areas of focus include transformation of the underwriting process, new data sources being used, focus on the consumer, automation and more. By the end of the session, attendees will understand some of the latest trends in InsurTech that are impacting the life insurance industry.

Description: Most insurers operate in a multi-GAAP world: Many U.S. insurers are regulated on a statutory/risk-basec capital (RBC) basis, report to markets under U.S. GAAP, pay taxes on a tax basis of accounting, and manage their business internally on an economic or other basis. In addition, many have overseas entities exposed to even more reporting bases. Reporting requirements are ever increasing and convergence of frameworks is not a reality in most parts of the world.Learn about a multi-GAAP framework to gain a bottom-up understanding of the differences in reserves and other balance sheet and income statement line items across reporting bases, both now and for future projections/plans. Using such an approach enhances insight into the valuation of the business, removes inconsistencies and results in operational efficiencies in the valuation process. At the conclusion of the session, you will learn technical concepts behind the Multi-GAAP framework and some practical ways to design and implement it.

Description: 2022 was a year of radical change for the annuity market as interest rates increased from historic lows. The rapid growth of RILA products stalled as FIA and MYGA products saw a significant increase in market share. The impacts of the higher rate environment are continuing to be realized in experience, inforce management, product design and more. Explore the retail annuity market with a focus on the impacts of higher interest rates. Expect session materials to draw on experience studies, sales results, product changes, and more which will examine how higher interest rates have altered the annuity market.

Description: "As digitization and automation rapidly progress in today’s life and health industry, issues with misrepresentation during the insurance application process are also becoming a growing concern for insurers around the globe. A recent survey finds that misrepresentation in application forms costs the average insurance customer an estimated 5% to 10% in higher premiums. In order to reduce this risk, insurers must find and correct areas of misrepresentation, consult post-issue sampling, review the automated underwriting processes, and monitor the quality of financial advisory firms. Learn how predictive disclosure modeling detects and reduces misrepresentation by harnessing readily available underwriting data to analyze issues, helping insurers understand various drivers for disclosure rates and areas of misrepresentation.Advantages of this modeling to various stakeholders in the life insurance journey include improved risk selection, claims experience, and reinsurance terms for insurers. For customers, it leads to increased certainty of coverage, payout of the claim, and ultimately lower premiums on average. By the end of the session, attendees will understand: The disclosure modeling process at a high level The technical details of a standard approach to disclosure modeling: data cleaning, standardization, visualization, and predictive modeling Success stories about how predictive disclosure modeling has impacted insurers"

Description: Focus on the importance of achieving complete and accurate technical reviews of work products that contribute to decision making. As actuaries, we often face tight deadlines and the demand is high for our team members to provide results in a timely manner. Through investing upfront time into a quality review of our work product, with an added focus on professional excellence and ethics, overall time savings can be gained and an overall higher quality work product can be achieved, not only of the technical work being performed, but of the decision making that is influenced by the result of the work. At the conclusion of this session, you will be able to understand the value of technical reviews and the methods of preparing for and implementing technical reviews across a team.

Description: Learn about prevalence-induced concept change and other cognitive biases. And find out how such biases can be linked to common actuarial practices (e.g., the application of the bias to stringency of enterprise risk management frameworks, in the case of prevalence-induced concept change). You should leave the session with the ability to understand how these biases could affect your work.

Description: LDTI's roll forward disclosure requirements include line items for the impact of actual variances from expected experience (A/E) for both net premiums and benefits. These aggregate A/E amounts provide some insight into how actual experience is emerging relative to expectations, but they do not provide insight into either the drivers of the deviations or their significance.

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: The InsurTech industry continues vibrant activity. Some areas of focus include transformation of the underwriting process, new data sources being used, focus on the consumer, automation and more. By attending this session, you will hear about some of the latest trends in InsurTech that are impacting the life insurance industry.

Description: This report explores the behavioral factors influencing insurance purchase among Gen Z and Millennials for forward-looking purposes, leveraging a rich dataset spanning 22 markets across six continents.