Description: This report discusses the use of federated learning in the insurance industry and explores the benefits and challenges of this approach.

Description: The InsurTech industry continues vibrant activity. Some areas of focus include transformation of the underwriting process, new data sources being used, focus on the consumer, automation and more. By the end of the session, attendees will understand some of the latest trends in InsurTech that are impacting the life insurance industry.

Description: Over the past three years, we have seen technology take hold of consumerism, becoming the key operational component to remaining competitive in an increasingly digital marketplace. In the insurance sector, today's consumers want digital, personalized solutions for all of their needs, and they are willing to offer up personal information in exchange for more personalized coverage that is based on their behaviors and lifestyle choices. If insurers want their products to be recognized as an essential in the virtual 'wallet' of Millennial consumers, they must re-assess their digital service strategy with an emphasis on customer service and rewarding the consumer. Participate in this session to explore consumer trends in the life insurance industry. You can also join the discussion about the key facets of a successful digital solution, based on the digital service strategies of current market makers who have capitalized on the boom of custom apps, social media sites and other digital distribution channels to market their products to Millennials.

Description: Walk through real-life examples of how artificial intelligence can be used to drive insights and aide actuaries in improving the management of their company’s inforce book of business. A panel of experts will walk through case studies of how, as practitioners, predictive analytics provided solutions to tap further into their data and draw improved insights.

Description: The advent of emerging technologies such as blockchain, decentralized AI, and advanced privacy preserving techniques have created the possibility that billions of individuals may be able to maintain sovereignty and control of their own data. As data becomes increasingly valuable as the means of production for a variety of digital goods and services, this self-sovereignty of data may create a new economic framework of individualized data monetization. This session will explore the key factors, technologies and mega-trends in health and medicine aligning to drive this new economy and explore what the future may look like from a data valuation perspective as the current $120 billion secondary market for health data expands to include consented health and health-relevant data from more individuals, to the benefit of all individuals and the healthcare system as a whole.

Description: The landscape of the reinsurance industry is evolving amid profound changes in the insurance sector. Innovation is vital for reinsurers as risks become more complex and insurers transition from a role of "protection" to "prevention." Successful reinsurers are responding to market dynamics, particularly through open innovation – collaboration with startups.

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: Cluster modeling is emerging as a powerful technique to manage cloud costs and run time. It also enables quick responses to "what if" scenarios, and aids in attributing results between reporting cycles. In this webcast, we provide insight into cluster modeling, present case studies that focus on various key performance indicators and discuss the benefits and challenges to cluster modeling from an insurer’s perspective. We also discuss the considerations associated with moving from an on-prem based computing solution to a cloud-based approach.