Description: Presenters will explain how traditional distribution channels are being reshaped by emerging technologies such as artificial intelligence, data analytics, and digital platforms. Participants will gain insights into how these technologies are not only enhancing customer experiences, but also enabling insurers to reach new markets and demographics more effectively. A central theme is the importance of collaboration and breaking down silos within insurance companies. The session will be interactive featuring case studies showcasing both the triumphs and failures of innovative distribution initiatives. By dissecting these case studies, participants will glean valuable lessons on what works and what doesn't when attempting to bring about change in life insurance distribution. Attendees will learn to appreciate the challenges faced by distribution and how collaboration across departments - from underwriting to marketing to IT - can unlock new opportunities and drive significant growth in distribution strategies.

Description: In this session, you will be exposed to new innovations in the insurance industry around the world.

Description: Expect to learn how recent advances in AI and Generative text technology can help unlock data from medical records to solve many key underwriting and actuarial challenges. Specific topics include the following: - What is NLP/AI/machine learning and how is it currently being used in underwriting? - What technological advancements have Insure Techs made in the use of AI and GPT, and how are carriers/reinsurers utilizing these enhancements? - How can you avoid some of the challenges with GPT such as Hallucinations and 'black box' outputs? - How can extraction of data from medical records assist actuaries with various pricing and analysis challenges? - What legal/compliance challenges should users be aware of and how to manage those risks?

Description: Investigate the importance of collaboration with accounting, underwriting, sales, marketing and other professions as an actuary when you attend this webcast. Cross-functional positions can cause unique challenges to arise, like various experts attempting to balance growth and profitability. Discover an opportunity to learn about relevant ASOPs and dive deeper into contemporary examples that highlight specific professionalism issues that can develop.

Description: This session will examine bias from a social science perspective. It will discuss the three types of systemic biases using the National Institute of Standards and Technology (NIST) model. The NIST model details the three types as historical bias, societal bias, and institutionalbias. The session will also provide several examples of each type to provide a framework for identifying the social structure of bias.

Description: The presenters focus on traditional and non-traditional techniques for setting IBNR and assume some experience on the topic. Take in a brief overview of the basic development of IBNRs for financial reporting. Then explore general considerations and various methods used to estimate claim costs, plus understand variability in IBNR projections as well as challenges that arise in certain situations. There will be opportunities for the audience to share ideas and considerations based on past experiences.

Description: Several key market trends have encouraged the development and launch of direct to consumer business models over the last few years. The presenters will look at the impact this is having on traditional business models and the potential it has to open up growth paths to target markets. They will cover several new entrants coming to market aiming to solve specific industry gaps and/or create new opportunities in distribution, risk assessment, customer engagement and the consumer buying experience.

Description: Learn about the innovations of life & health products and distribution in the Asia market.

Description: Every year an AI topic goes through a hype cycle. Since 2022 and now in 2023 we continue to hear more about the ChatGPT models and how an everyday person is able to interact with AI. As more startups and applications are riding the hype, what does it all mean for our industry? Is this just a buzz or real? This talk intends to cover at a high level what are large language models, what does it mean for audit or regulatory space, and what might be some pitfalls or tolerance of error when it comes to selecting a right application for such models in insurance use cases.

Description: Insurers are now in a better position than ever to both understand and enhance their customers' health and well-being. A key avenue for this is through developing health and wellness offerings for clients—for mutual benefit. Around the world, the proliferation of lifestyle and health data continues to gather pace.