Description: There are many underwriting issues being discussed in states that challenge how information is used in the underwriting process. Learn more about a variety of rules and regulations, especially Colorado’s proposed regulation requiring a governance and risk management framework for life insurance carriers’ use of external consumer data and information sources (ECDIS), and algorithms and predictive models using ECDIS. This Colorado proposal is more far-reaching than the requirements of other states like New York and Connecticut, who have put up guardrails for the use of new data sets and algorithms especially for underwriting. Listen in as experts discuss the potential issues and implications of this and other proposed regulations.

Description: Hear about the latest trends and insights as this panel discusses the happenings in the life insurance marketplace. Discover product, regulatory, underwriting, marketing, and other trends to help keep up to date on many of life's changing events.

Description: Highlight key trends in life and annuity pricing, including pricing assumptions and pricing methodology. Participate in a discussion that includes pricing targets, use of value of new business (VNB), mortality assumptions, use ALM models and pricing scenarios.

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: Electronic health records continue to evolve and gain traction in the life insurance industry. But what exactly are EHRs and what are the impacts for actuaries? How they are being used today and what are the benefits and challenges of implementing EHRs in life insurance underwriting?

Description: Dive into the recent updates to the Bermuda Market and how this may impact current and future market players. Learn more about the Bermuda reserving and capital requirements and how the recent Bermuda Consultation Paper may impact the industry.

Description: Pandemic modeling and its impact on the insurance and reinsurance business have been the subject of scrutiny during the COVID-19 pandemic. As the World Health Organization (WHO) has declared its end as a global health emergency, the focus of insurers and reinsurers turns to the possibility of future pandemics. Key to considering possible future pandemics is assessing what is needed to model pandemic risks. Our presentation will focus on providing you with the following: - The main principles around creating a well-established pandemic risk modeling framework, what they are and how you should build them into your model (As a reinsurer, this is core to our business, and we have unique global insights into performing it.) - A review of pandemic risk modeling strategies as well as an understanding of the inherent uncertainties of pandemic events - Lessons learned from COVID-19 and how we can apply them in assessing the possibility of future pandemics - An understanding of the link between future pandemic risk and the capital requirements

Description: Dive into an integrative approach to Precision Medicine - how our modern capacity to interrogate a disease heterogeneity (from omics and phenotyping) and parallel advances in 'big data' together are driving to transform the practice of traditional medicine to precision medicine. After defining the relevant terminologies and the components of precision medicine, the speaker will walk through the spectrum in precision medicine and how it leads to personalized management of disease, which can impact underwriting approaches, product development and pricing. Diabetes will be used as a specific example.

Description: Insurers have long relied on scenario analysis to understand the long-term impacts of potential business decisions, but the advent of rapidly changing market environments and a growing desire to optimize capital has spurred business leaders to leverage new tools in order to explore potential options. Companies are beginning to explore new analytical solutions that trade-off accuracy for speed for a more robust approach to impact quantification. In particular, they are looking at the use of additional what-if scenario models, built from the top down, to support decision-making processes. Actuaries can help take charge in the development of these top-down analyses by leveraging data and actuarial techniques to supplement their existing models. In this way, business leaders can simultaneously rely on the actuarial rigor of typical standalone cash flow projection models, while also receiving support for real-time business decision-making. The potential of what-if scenario modeling can help actuaries unlock a powerful new approach to scenario analysis to enable more rapid decision-making. Learning objectives: In this session we will discuss the fundamental concepts of what-if scenario modeling in an actuarial context, including: - Core principles and components of what-if scenario modeling - Common challenges and considerations around the implementation of what-if scenario modeling - Potential solutions to challenges and their implications

Description: According to Oliver Wyman's 2023 Asset-Liability Management (ALM) survey, long-term care (LTC), universal life, and whole life insurance products have among the longest liability duration profiles, often with material asset-liability duration mismatches. Deploying an optimal strategic asset allocation (SAA) framework for these products is particularly challenging due to their: - Long-tail profile. Liability cashflows for long-duration insurance products often extend beyond the investment horizon of currently available assets (e.g., 30-year U.S. Treasuries) - Liquidity needs. Depending on the type and age of the insurance product, achieving your desired levels of projected liquidity becomes instrumental Solution: A robust liability-driven SAA framework with an emphasis on minimizing cashflow mismatch while considering a company's risk appetite and investment guidelines aims to reduce interest rate and liquidity risks. Case studies: LTC and life-focused case studies will provide insights into hypothetical SAA frameworks, including ways companies optimize their fixed-income assets. We will also explore techniques used to extend asset duration beyond a typical fixed-income portfolio, using derivatives and alternative assets.