Description: Exploring how artificial intelligence can enable insurance to expand into new places with new insights.

Description: This is a summary of the benefits of attending the 2019 Predictive Analytics Symposium.

Description: In this session, we will explore the opportunities and challenges of leveraging AI tools to support valuation actuaries in their work. We will begin by introducing the concept of large language models (LLMs), discussing their capabilities, limitations, and potential errors. We will then delve into case studies that demonstrate how LLMs can be effectively utilized to reference actuarial documents. The session will also address key considerations when developing AI tools to mitigate errors, enhance safety and security, and improve overall efficiency. The case studies will cover fine-tuning and information retrieval techniques such as retrieval augmented generation (RAG). Our goal is to provide attendees with a foundational understanding of the nature of LLMs and offer practical insights and ideas for actuaries to build their own processes and tools that ensure accountability, safety, and efficiency.

Description: Creating a predictive model is one thing, but then taking that model and getting full stakeholder buy-in is another. Learn from presenters' experiences and insights on proving model effectiveness in the long-term care (LTC), life and annuity spaces. Explore various topics such as feasibility, model transparency, fairness and equity, ROI measurement, data assets and compliance, infrastructure and more. By the end of the session, you will gain an understanding of how to navigate the challenges of proving the effectiveness of predictive modeling and obtaining management buy-in.

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: Many insurance companies have started Diversity, Equity, and Inclusion (DEI) initiatives over the past few years to better engage with their employees and communities in new ways. Explore another important audience of DEI programs: the customers who purchase insurance products. Review research on the unique needs of specific groups that may have been underserved by insurance companies in the past. You will also touch on ways to make the insurance buying process more accessible to everyone.

Description: Interview on opportunities for InsurTechs in Life and Health reinsurance. Themes covered include digital distribution and digital health data. The article also shares insights into the role of the reinsurer when working with InsurTechs.

Description: This session delves into Actuarial Fairness and compares it to other fairness concepts within the context of retirement savings, exploring how these ideas influence behaviors among retirees. We explore how immediate financial pressures and complex financial decisions impact people's willingness and capability to save for retirement. The session will also review traditional retirement solutions and innovative alternatives, assessing how each aligns with fairness principles. Drawing parallels from public discourse on resource distribution in sectors like healthcare, we discuss broader implications of fairness in financial regulations and impacts on policy and decision-making in retirement planning. Learning Outcomes: Attendees will be able to: - Understand the application of fairness concepts, including Actuarial Fairness, to retirement income products. - Explore how perceptions of fairness influence retirement saving behaviors, examining personal finance challenges and the regulatory environment. - Assess innovative retirement solutions' roles in promoting fairness while upholding actuarial integrity. - Analyze the influence of legislation and public policy on the conceptualization, communication, and implementation of fairness in retirement products.

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: Welcome to the future of insurance, for actuaries and non-actuaries! Discover how cutting-edge AI models are revolutionizing underwriting, risk assessment, and customer experience for the insurance industry. Experts in management consulting and actuarial consulting firms will provide valuable insights into the consideration and challenges surrounding the adoption of Generative AI.