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: Leveraging the research papers "Emerging Technologies and their Impact on Actuarial Science and Top Actuarial Technologies," the presenters of this session will highlight current and emerging actuarial technology trends, discuss how these trends will impact the day-to-day work of actuaries, and explain what actuaries can do to adapt.

Description: Data science, predictive analytics and AI are certainly the buzzwords these days. They are heavily used and developed in underwriting and marketing but for most actuaries, they might/may as well be science fiction. The presenters will demonstrate how a normal actuary can utilize data science techniques in their daily job function without forming an official data science team within a company. It can be done in a gradual fashion so that normal business is not disrupted and improvements are made over time. The usage of data science techniques will include demonstrations of the following areas: - Regression analysis - Economic scenario generator - Experience study - Data quality checks - Inforce compression for explicit hedging

Description: Advancements in machine learning modeling as well as new sources of data coming to the fore help feed the burgeoning industry of InsurTech applications in underwriting. By attending this session, you will learn about the latest developments in InsurTech applications in life/health insurance underwriting.

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: Explore an overview of ChatGPT and Large Language Models (LLM) and the strengths and weaknesses of ChatGPT. We will discuss ramifications, including accuracy, privacy, copyright, bias, and intellectual property concerns, as well as potential use cases.

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: The way customers and advisors purchase insurance products and interact with carriers has evolved rapidly in the last decade, reflecting the changing preferences in our digital world. Join this webcast to learn from a panel of experts on how they have approached these innovations in their own actuarial work and leave with a framework to manage risk through future change.

Description: Blockchain and cryptography have seen significant adoption around the world, and while still in early stages, it has started to make an impact in a few industries such as finance, gaming, and metaverses. There are now organizations providing insurance services on blockchain. Although this is limited to protection against financial losses in markets, the sheer adoption has sparked interest for other insurance use cases and some startups have already started experimenting in the spaceThe presenters will first introduce basic concepts of the blockchain supported by a demo, while explaining how cryptography and distributed ledger technology (DLT) is used to make it work. We will further introduce consensus mechanisms so that participants understand how decentralized blockchains are governed without a centralized party. The session will then shift focus to the broader market and different uses of blockchain focusing on the insurance space, covering both the current and potential future use cases. By attending the session, you will: - Understand the basics of how blockchain and cryptography work, - Have a better understanding of the broad categories of the crypto market answering the question, 'why are there 10,000 crypto currencies and how do I navigate these?' - Understand how blockchain plays a role in insurance and why insurance is important to the blockchain ecosystem.