Description: The Inflation Reduction Act represents the largest change to the Medicare Part D program since its inception in 2006. With a complete redesign of the Part D program coming in 2025 (the next bid cycle), there are health plan, operational and analytical challenges that lie ahead. In this session, you will: Hear highlights on some of the key changes occurring in 2025 Learn about key considerations for health plans and other stakeholders in the Medicare and commercial markets Discover potential winning strategies and potential analyses that could inform those strategies

Description: Actuaries today have unique opportunities to analyze, understand and use data for strategic decision making. With nearly unlimited computing power and a broad spectrum of data sources at our fingertips, we are enabled to support our actuarial judgment with comprehensive findings backed up by deep data analyses.

Description: Learn more about recent updates to the Bermuda Market and how this may impact current and future market players. This session will cover the Bermuda reserving and capital requirements and how the recent Bermuda Consultation Paper may impact the industry. At the end of the session, you will have a better understanding of the status of the proposed changes, the implications and general observation of the industry reactions.

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: How can generative artificial intelligence (AI) be leveraged to transform and modernize life insurance? Gain an overview of AI and some of their current use cases in the industry, including the latest trends in the market. Next, you will learn about the current challenges companies face, including costly underwriting procedures, customer acquisition and retention, and complicated application processes. Finally, explore how generative AI can help address these challenges, improve customer experience and help streamline processes to free up more time for higher-level business insights and other company initiatives.

Description: As actuaries continue to advance their careers, the ability to communicate becomes more and more important. In particular, developing strong presentation skills becomes a critical success factor. Actuaries need to be able to stand in front of large and small groups and deliver information in an interesting and compelling way. Like many other skills that don't necessarily come naturally, developing strong presentation skills takes practice and preparation.

Description: Focus on Accelerated Underwriting (AUW) in the life insurance industry, which is an expedited underwriting process that utilizes predictive models. Expect to address the challenges in designing the process, from modelling to performance monitoring. Additionally, you'll address risk management, particularly in mortality and proxy discrimination andhighlight the role an actuary can play in the AUW process, as well aswhat they should know to contribute effectively.

Description: Discuss how the reinsurance can be utilized to manage the risk profile of the company. Potentially we can use a case or two to demonstrate the usage of reinsurance.

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: To cope with the historically low-interest rate environment that we recently experienced, there has been a growing trend among life insurers' investment portfolios to allocate to such alternative assets as collateralized loan obligations (CLOs), rated feeder funds, and collateralized fund obligations (CFOs). In this session, you will gain an overview of alternative assets as we work through answering the following: - What are alternative assets? - Why do insurers invest in alternative assets? - What are the risks of alternative assets? - History of alternatives: How did we get here? - What is currently in the portfolios? - What are the concerns within and outside the industry (without a debate about the concerns)? - What should actuaries be aware of and what role do actuaries play in evaluating portfolio risks?