Description: Join a dynamic panel of accelerated underwriting (AU) experts as they discuss results from three recent AU industry surveys, including from the Society of Actuaries (SOA) and two reinsurance studies. They'll share similarities and examine differences in their findings as they cover historical trends, current practices and their outlooks on the future of this evolving underwriting paradigm. By the conclusion of the session, you will have gained knowledge on the data and trends available from these surveys, as well as understand what AU program modifications are needed to keep pace with the industry.

Description: The rapid evolution of life insurance underwriting has created pricing and operational challenges and raised new questions about established approaches to assumption development, both of which demand a fresh perspective. As underwriting methods evolve, we find ourselves navigating uncharted territory. In this session, we delve into accelerated underwriting, focusing on two critical areas. First, we explore assumption setting in this new world, where numerous interaction effects can make it feel like we’re asked to consider everything, from every angle, all at once. Considerations for assumption setting must encompass early performance indicators—what signals inform our assumptions? Additionally, we address novel underwriting approaches and how to adapt assumptions for these paradigms. Furthermore, in the context of post-COVID claims experience, we discuss distinguishing meaningful insights from noise. Second, we examine declinable risks and their impact on mortality. In this new world ushered in by accelerated underwriting, previously excluded risks—low-frequency, high-severity declinable cases—are now part of the landscape. Quantifying their mortality impact challenges us, as historical data lacks systematic tracking. To quantify declinable risks, we draw upon research findings from analyzing 27 million life insurance applicants, providing valuable insights for attendees to navigate this dynamic landscape and make informed assumptions for pricing and risk management.

Description: In this session, we will do a deep dive into the potential of large language models; we will explore how new AI tools can be combined with traditional modeling to automate aspects of risk assessment. Industry experts focused on operationalizing this technology will talk through their approaches, lessons learned and demo use cases. We will also share insights around creating a robust AI strategy based on business objectives and regulatory considerations. Learning Outcomes: • Applications of large language models in risk assessment use cases • Regulatory considerations around the use of generative AI

Description: As the insurance industry continues to evolve due to a pandemic and rapidly changing economic and regulatory conditions, the role of data scientists and actuaries has become increasingly important. In an interview with the Atidot data science and actuarial team, we discuss what it is like to work at an InsurTech, how data scientists and actuaries can collaborate, and look at some concrete technical examples of where the innovation is having an impact. This article explores what collaboration can look like and how the role of data science and actuary may evolve in the InsurTech industry in the future.

Description: In this article, I will outline the key tools that are found in a digital marketer’s toolbox, briefly explain the broader digital marketing ecosystem, and outline how digital marketers leverage these tools to attract and engage customers within this ecosystem. The goal of this article is to help actuaries in all areas gain a basic level of familiarity of the world of digital marketing, so they can apply this knowledge to product design, systems design, and business valuation.

Description: Electronic Health Records (EHR) have increased in importance due to the in-person medical visit restrictions caused by the Covid-19 pandemic. Access to EHRs for insureds - apart from EHR vendors and providers - is now also prescribed by federal law. Combined, electronic medical data access has accelerated faster than expected. These trends are examined for potential impact and opportunities for actuaries in data aggregation.

Description: The COVID-19 pandemic has disrupted the global economy at a level never imagined. The economic fallout has been catastrophic. Record high unemployment, staggering revenue loss, bankruptcy and an uncertain future have businesses—and consumers—searching for a beacon of hope. In the quest for a lifeline, actuarial teams are quickly being thrust into the spotlight

Description: Financial planning and analysis (FP&A) has become increasingly important to the life insurance industry in recent years. Insurance companies must navigate complex changes in financial reporting and capital requirements to manage risk effectively. Furthermore, technological growth has changed the landscape of the theoretical capabilities of FP&A; however, many FP&A areas struggle to implement the sophisticated modeling techniques required to manage the long-term liabilities associated with life and annuity products.