Description: Discover the rapidly developing health and wellness industry during the Use of Health and Wellness Data in L&H Risk Assessment webcast. Our discussion includes the maximization of data usage through several different means, including current risk selection, creation of a dynamic ongoing assessment offering or substitution of traditional underwriting information to shorten the underwriting process. Come explore these different approaches as they affect the health and wellness industry. We will express the importance of a constantly changing data usage environment in order to better prepare insurers to maximize their data and drive health and wellness forward.

Description: Generative artificial intelligence (AI) tools like ChatGPT will redefine the nature of work across industries in coming years, What does this mean for the actuarial profession? Delivering generative AI tools to actuaries capable of leveraging them effectively will dramatically modernize how actuaries work and contribute to organizational growth. In this educational session, explore how generative AI can accelerate actuarial model development. Gain an introduction to generative AI and its implications for actuarial modeling. Learn how it specifically helps actuaries improve accuracy, reduce errors and save time in model development. Then explore use cases, including how generative AI can improve data cleaning, model building, as well as simulate scenarios and test model robustness. Close with a discussion on how to integrate generative AI into actuarial modeling workflows effectively, including common challenges actuaries may face during implementation and tips to overcome them. You will come away with a deeper understanding of how generative AI can accelerate actuarial model development.

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: In April of 2023, the SOA Research Institute assembled an industry expert panel to discuss current issues in actuarial technology. This was the fourth time such a panel was assembled, and most panelists had participated in the previous discussions.

Description: James Glickman delivers his general session speech at the SOA 2019 SOA Annual Meeting & Exhibit in Toronto.

Description: Hop into a panel discussion between InsurTech Advisory Council and a startup, followed by a demo of life event prediction and analyses with multiple applications across financial services. You will also learn about: the SOA office hours program and member participation, the startup ecosystem filled with incubators, company contests, opportunities and outcomes, how to build a data set providing additional insights for customization and enhanced user experience, and - actuaries' engagement with startup strategic advisory boards.

Description: The journey for microinsurance, nowadays called inclusive insurance, started a long time ago and is not complete in the majority of the low-income and low middle-income markets. When seeking to enhance inclusive insurance markets, it is useful and necessary to have a good understanding because it entails a different treatment of customers, distribution, products, pricing, client management, premium collection, claims declaration and settlement, and reporting.

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

Description: InsureTech Connect 2021, covered r emerging trends that were and future opportunities for insurance technology. In addition, Society of Actuaries (SOA) staff and key SOA volunteers who work in the insurtech industry interviewed a variety of attendees to gather further information on these trends.

Description: Attend if you are an organization interested in utilizing various kinds of client data to improve the whole insurance sales process, and to develop new applications. Interested parties may include distribution sales force, underwriting, claims, actuarial and finance departments within a typical insurance company, online distribution partners, health care providers and other consulting service providers. The research looks into various use cases, which are typically main issues in modeling in the insurance industry. The research also helps benchmark performance using different languages that may serve as a good reference when best to use a certain language to enhance the development cycle.