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: 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: 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: 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 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: 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: You’ve written the position papers, updated the models, and designed the required disclosures, but you may be wondering how to explain the results during interim financial reporting periods to company management as well as other stakeholders. This session will explore ways to adapt existing management reporting and offer ideas for new metrics. We will explore various methods for analyzing DAC amortization patterns, market risk benefit reserve patterns, and Liability for Future Benefits (LFPB) movements. In addition, this session will explore ways to integrate changes in LDTI with business planning and other broader business issues such as product pricing considerations and reinsurance strategy.

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: 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