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: Behavioral economics research has shown that small details can have a large impact on how a person behaves. As life insurance continues its evolution into the digital domain, life insurers now have an almost infinite number of ways to tweak their product offering, positioning, and delivery to the end consumer. Behavioral science is becoming increasingly more important to optimize these product design decisions and improve outcomes for both insurers and their customers. Discover a brief overview of key behavioral economic concepts and dive into two SOA research projects that are exploring how behavioral economic techniques can be used in different parts of the life insurance value chain. First, you'll start before a policy is even sold, by exploring how behavioral economics, through techniques such as the messenger effect, can be used to increase consumers' comprehension of policies and life insurance's value. Second, you'll look at how underwriting question design can impact applicant behavior and lead to higher quality application data. At the conclusion, you'll enjoy having a better understanding of how behavioral economic techniques can be applied in a life insurance context.

Description: Discover a modernization journey within finance, actuarial investment and risk domains. Expect to learn about the world we are striving for - an event-based, self-service, automated environment that centers around a cloud-based data lake with proper data quality and governance and provides visual, on-demand solutions for reporting and analysis. We will educate the audience on the technology used to obtain this vision and the approach (including our team structures and project management ideologies) we have taken thus far to start moving there.

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.

Description: Actuarial transformation initiatives often require significant investment in time and resources. However, not all initiatives deliver the desired results. Complex integrations of new data and technology pose a significant challenge for business and technology teams to deliver on time and on budget. This challenge can be overcome if addressed thoughtfully with emerging technology and business-friendly tools which offer benefits to both actuarial business users and technology professionals. In recent years, low-code technology has emerged which empowers actuaries by providing capabilities for data analytics, self-service, and visualization without requiring extensive technical prowess. Pairing these tools with emerging cloud-based data management solutions allows actuaries to quickly manage and analyze large data sets along with enhanced governance and integration. By adopting these technologies, actuaries are empowered to deliver better outcomes for their organizations Come explore a panel of actuarial business and technology experts who will share their insights and experiences on how low-code technology solutions can empower actuaries with better access to data and analytics. The panelists will discuss real-world case studies to demonstrate the practical benefits of these tools and how they can be used to achieve better business outcomes.

Description: As an increasing number of insurance companies, both traditional and startup, attempt to attract new customers, we see waves of product innovation ideas with goals to break into the under and un-insured markets. Some of these ideasare intended to be served as alternatives to traditional insurance focusing on adding enhancements to existing products ranging from flexible benefit design to accelerated underwriting. Others look to engage and attract new customers through a streamlined sales process in order to cultivate customer relationships and increase brand recognition. Explore how innovative companies break through obstacles from both the actuarial and compliance standpoint to bring new solutions to the marketplace. By attending the session, you will: - Understand types of innovation taking place in the life insurance industry. - Provide ideas for product of the future. - Learn different aspects of innovation on life insurance such as distribution, cost and compliance.

Description: Learn how modernization of data, models, and technology are influencing workflows. This webcast will address how workflows are changing in response to new regulatory requirements and the impacts the changes have on modeling and end-to-end future state operating models. Industry leading actuaries will discuss: How team collaboration can increase quality and speed of reporting to internal and external stakeholders How to strengthen controls and compliance frameworks across finance and actuarial departments How to modernize actuarial input/output for strategic analysis and insights How to attract and retain top talent by improving opportunities for actuaries There will also be dedicated time to ask questions of those who have made the transition.

Description: At the end of December 2020, Congress enacted the Consolidated Appropriates Act, 2021, which included revisions to Section 7702. Effective for policies issued after December 31, 2020, the fixed 4% and 6% minimum annual effective rates under these tests were changed to refer to a market-based rate called the “insurance interest rate”. For contracts issued in 2021, the insurance rate was set to 2% - defined as the lower of the Section 7702 applicable federal interest rate based on the 60-month period ending December 2019 (2%) and the Section 7702 valuation interest rate in effect for 2020 (3.5%). This reduction in the rates used for compliance testing required significant product, operational, and technology changes for companies to reach product compliance. After 2021, the insurance interest rate is redetermined annually with a minimum change floor.