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Description: 2021 Life Meeting - Session 5F: Premium Leakage - How Outdated Claims Systems are Losing You Money 8.31.21 Recording

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: Explore similarities between actuaries and data scientists as speakers share personal experiences on the importance of organizational structure. Attend the Actuary, Data Scientist, or Actuarial Data Scientist webcast to discover the effectiveness of partnering both of these career paths in a life insurance atmosphere. In addition to personal experiences, speakers will discuss several success stories where collaboration and connection became the key to driving innovation. Come learn about the progress these professions have caused in pricing and risk management.

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: Innovation in technology is being leveraged throughout the entire customer journey. The presenters will focus on solutions that affect both the client experience, the productivity of the agent and the efficiency of the life company. Some InsurTech companies that have developed solutions across the value chain - beginning with front-end solutions to improve the productivity and expertise of agents. These include cloud-based product illustration, advanced sales concept systems, financial calculators, e-applications and e-signature technology. Solutions that improve the efficiency of policy underwriting and issue include automated underwriting systems, expert requirement systems and underwriter workbenches. Finally, solutions that automate inforce policy management and compliance include anti-money laundering AI systems, in-force illustration systems to satisfy annual statement compliance and claims processing systems. There is a race to gain competitive advantage by getting to a digitally transformed future first.

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.

Description: How do you go about designing a new product? Behavioral Science is an often overlooked tool in enhancing product design and using a Discrete Choice Experiment (DCE) can give you insights to customer preferences and their willingness to pay for features. The result of this work is a product explicitly designed with your customers and market in mind.

Description: Eager to learn more about what an InsurTech is, how they operate in the insurance ecosystem and how actuaries can participate in this ecosystem? Join actuaries, InsurTechs and participants in the ecosystem to discuss the recent research report on InsurTechs by the SOA. At the conclusion of the session, attendees will be able to: • Know more about InsurTechs and how they operate • Understand how insurers work with InsurTechs • Discover how actuaries can participate in this ecosystem • Learn practical lessons from both InsurTechs and actuaries This session is presented by the Entrepreneurial & Innovation Section.

Description: Digital savvy consumers are demanding a change in the way they engage with their insurance carriers. As smartphone owners utilize their devices for financial management more than ever, insurance carriers aim to create a similar seamless digital strategy, offering customers a personalized experience on multiple platforms. Cloud-based applications also enable productivity, accountability and innovation in the insurance industry. Discover avenues of customer engagement through digital platforms, including new technologies and products, and why the value of data and data science is critical for business, such as adaptability, marketing and insightful pricing. Presenters will also touch on: - managing retention and lapses through data-driven continuous improvement cycling - high-level system architectures illustrating how multiple applications (front/mid/back office systems) will integrate with each other and share connected data example data points being captured within various marketing systems - data collection within various digital platforms - data science applications that help with business growth, retention, lapsation, effectiveness and cross-sell/up-sell opportunities, and the implications to actuarial functions - value and risk to carriers in the new digital paradigm