Description: Deaths due to non-medical causes such as drug overdoses, alcohol-related deaths, homicides, suicides and accidents are the leading cause of death for those under the age of 50 in the U.S. and is the fourth leading cause of death (after cardiovascular, cancer and COVID-19) for all ages combined in 2021. Take a deep dive with us into the mortality trends for non-medical causes of death and the impact these deaths have on different types of life insurance, including simplified issued, fully underwritten and group.

Description: In this wide-ranging session, expect updates on the work of the Individual Life Experience Committee and delve into some interesting recent research. You'll gain an update on recent findings from the Individual Life Experience Committee regarding individual life mortality experience.

Description: While European insurers are subject to Solvency II and some Asian insurers adopted IAIS ICS, Bermuda enhanced its BSCR capital framework on 3/31/2024 and Japan has customized IAIS ICS to create Economic Value-Based Solvency Ratio (“ESR”). ESR will replace the existing capital framework from 3/31/2026. The ESR implementation brings significant changes to life insurers in Japan as it did to European insurers at the time of the Solvency II implementation. This session will discuss the background of the ESR framework, under which Japanese life insurers will be subject to increased governance, supervision will be also enhanced, and provide key comparisons to IAIC ICS and BSCR. Panels will also discuss potential implications to business such as strategy, risk management, and reinsurance for the viewpoints of Japanese life insurer with US and/or Bermuda subsidiaries.

Description: Global trends in both technology and regulation are causing U.S. insurers to reflect more deeply on their model risk management frameworks. The world has seen a rapid proliferation of AI-based tools accompanied with an overall increased usage of machine learning models, exacerbating model risk and reducing transparency in an unprecedented manner.

Description: Global trends in both technology and regulation are causing U.S. insurers to reflect more deeply on their model risk management frameworks. The world has seen a rapid proliferation of AI-based tools accompanied by overall increased usage of machine learning models, exacerbating model risk and reducing transparency in an unprecedented manner. This rising tide of AI means that it is imperative for U.S.-based insurers to address these emerging risks within their model risk management (MRM) frameworks. Regulation also continues to evolve in this space: in Canada, the Office of the Superintendent of Financial Institutions (OSFI) revised Guideline E-23 to instill more detailed model risk management standards; in Bermuda, the Bermuda Monetary Authority (BMA) has published CP2 to add increased scrutiny on the data and models used by insurers. Insurers must react: MRM frameworks require prudent revisions to reflect these ever-changing landscapes of risk. Reassessing the core pillars of MRM frameworks-risk measurement, model development, validation, monitoring, and governance-is key to understanding the consequences of these evolving market changes on insurers' risk profile. Overall, the inclusion of these new tools into the world of insurance necessitates a thorough examination of insurers' MRM frameworks in order to align these new risks with core MRM principles. In this session we will: - Reflect on recent drivers of change and how they should be considered in the context of MRM - Explore best practices as it relates to MRM frameworks in the context of current global trends - Describe challenges, success stories, and lessons learned relating to recalibrating and embedding MRM frameworks

Description: This session will explore the mortality implications of reaching new markets, leveraging unique analysis that directly compares the mortality experience of the general populations and insured populations. Experts will explore how the industry can responsibility reduce the insurance gap, effectively employ digital data to assess new markets, and tackle the challenge with eyes wide open. At the conclusion of the session, attendees will be able to: •Understand differences in mortality experience between various populations – general, insured and uninsured •Articulate the challenges the industry may face in closing the insurance gap •Appreciate the role digital evidence can play in managing and accessing new marketing segments

Description: This session will review what is going on in the life insurance market. Make sure you are up to date on sales, distribution, product innovations, regulations, inforce management and changes happening in the life insurance space. At the end of the session, attendees will be able to identify what's happened in the life insurance market, explore where the market is heading and identify areas of risk that are opening up due to changes occurring the life insurance space.

Description: Electronic Health Records are here to stay. Take a deep dive into the world of electronic health records and how the industry is poised to utilize this new form of digital medical data to transform the way policies are underwritten and ultimately, transforming the client experience. Listen to industry experts speak about what they are doing to use this data most effectively and how this ultimately develops into ground-breaking solutions for the industry.

Description: Assumptions have been a critical component of actuarial work since the rise of the profession hundreds of years ago. Without well-developed, credible assumptions, reliable financial projections are an impossibility. Yet in 2023, there is still a wide range of assumption processes and governance practices in place throughout the life industry. Follow assumption and governance experts from Oliver Wyman to dig deep into results from our 2023 assumption process and governance survey. Examine what we're seeing currently practiced throughout the industry and offer insights into what we're doing well, as well as where we have opportunities to improve. Explore topics, such as assumption governance frameworks, governance costs, development and review, approval processes, implementation and usage, monitoring, and challenges.Gain a better understanding of how your own assumption processes compare against others in the industry, and learn best practices that can be implemented to improve assumption processes.

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.