Description: Join us for an exciting session as Actuarial Innovation & Technology Strategic Research from the SOA's Research Institute unveils two recently published research reports: ""Unveiling the Life Insurers' Actuarial Transformation Journey and the Impact of Analytics"" and ""Exploring Revolutionary Advances in Underwriting: An Initial Assessment of Epigenetics, Medical Tests, and Wearables"". In the first report, we delve into the evolving landscape of life insurers' Actuarial Transformation efforts, shedding light on their future prospects and emphasizing emerging Advanced Analytics techniques. The second report serves as the inaugural installment of a series dedicated to identifying promising innovations for underwriters and actuaries, and it promises to alert the SOA to the latest developments. During this session, our presenters will provide an insightful overview of the key findings and key takeaways from both research reports. By the end of the session, attendees will gain a deeper understanding and appreciation for the invaluable research conducted in these areas.

Description: With higher interest rates and aging populations, the Bermuda offshore reinsurance market has been heating up, particularly to firms backed by asset management firms and private equity. Increased competition along with changing regulatory requirements, and evolving expectations around model governance have actuaries facing heavier production and results explanation workloads. This creates additional challenges on top of an already complex Bermuda reporting regime, particularly with the Scenarios-Based Approach (SBA) and Bermuda Solvency Capital Requirement (BSCR).

Description: The old adage 'insurance is sold not bought' has been used to dismiss digital insurance and support the old agent model of distribution. However, modern distribution systems address this with personalization. This is not simply a customized application form based on age or gender. Personalization is much more dynamic and happens in real-time. It's about tailoring the end-to-end experience to meet the needs and expectations of the specific applicant. The core tools to achieve this are AI learning and nudges from behavioral science.

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: How do we take a Minimum Viable Products (MVP) approach to launch new insurance products? Join this moderated discussion and focus on three key development aspects: Distribution, Systems, and the design and pricing of the Insurance product itself. Come discuss reasons to choose an MVP approach and how it solves many of the product launch challenges.

Description: Virtual - Session 6A: The ROI of Wellness - Actuarial Insights on Digital Health Engagement

Description: Big data and predictive models have disrupted the life insurance new business and underwriting processes over the past few years. How did we get here? What does the future hold? This session will review the lessons learned from the evolutionary process and discuss what the potential next steps are in this journey. Are real time fully underwritten decisions an achievable goal?

Description: This article summarizes five key lessons we have learned in implementing LDTI and shares our insights on practical ways to address them. This is not an exhaustive list of implementation challenges, but companies that can successfully tackle the issues we describe should have a smoother data and systems implementation transition.

Description: This session on Innovations in Underwriting will explore the latest advancements in underwriting technology and methodologies. It will focus on how these innovations are transforming the insurance industry, making underwriting processes more efficient, accurate, and customer-friendly. Topics will include the integration of artificial intelligence (AI), machine learning, and big data analytics into underwriting workflows. Additionally, we'll discuss emerging trends in risk assessment, automation of underwriting tasks, and the implications of these changes for underwriters and insurance professionals. Attendees will have the opportunity to learn from industry experts and participate in discussions on how these innovations are reshaping traditional underwriting practices. Learning Outcomes: - Gain an understanding of the latest technological advancements impacting underwriting, including AI, machine learning, and data analytics. - Learn how these innovations can streamline underwriting and pricing processes, improve accuracy, and reduce costs. - Explore new risk assessment methods and discover how automation is changing the underwriter's role. - Identify best practices for integrating innovative technologies into existing underwriting and actuarial pricing frameworks.

Description: Join a discussion on the evolution of asset and liability projection processes in the life insurance industry. Familiarize yourself with the broad set of inputs, stakeholders, and financial planning and analysis use cases. Notable areas of focus will include, but are not limited to, historical background, modeling needs, interactions between stakeholders, industry pain points, and a composite of an ideal future state informed by perspectives gleaned from leading companies within the industry.