Description: The interplay between technology and design to create safe, comfortable and thriving environments for aging in place and managing care costs.

Description: This report explores the adoption and impact of artificial intelligence and large language models in the Greater China insurance industry, drawing from surveys and case studies.

Description: Web3, Crypto, and Generative AI are no longer just buzzwords as they reshape the tech landscape. Viewed by many as unconventional technologies, their potential to now revolutionize the insurance industry cannot be ignored. Join us for an enlightening session that delves into the transformative power of these technologies and their current applications within the insurance sector, as well as discover how forward-thinking insurance companies are embracing these tools to unlock innovation and challenge the insurance status quo.

Description: Leveraging advanced technologies like Generative AI is essential for insurers looking to compete and drive business growth. In this high-level webcast, we discuss the transformative potential of Generative AI in actuarial work and how it empowers actuaries to become more efficient and effective.

Description: This project enhances the current understanding of cyber risks in the smart home ecosystem from the insurance industry's perspective. In particular, the quantitative framework and pricing strategies developed in this project can be immediately adopted/adapted by actuaries to price the cyber risks for smart homes, a fast-growing insurance market.

Description: President Roy Goldman speech at the SOA 2020 Virtual Annual Meeting & Exhibit.

Description: This session will include examples of healthcare claims and market data to be used for educational purposes to highlight trends in the insurance industry. It will also highlight opportunities to enforce existing laws around fraud and abuse, and areas for regulators and legislators to focus to address this growing problem. Finally, it will discuss recent law changes and highlight areas requiring additional regulatory intervention. Expect discussions of recent claim issues and laws in the healthcare market as well as emerging issues in healthcare. The presentation will be beneficial to healthcare professionals working for health insurers, healthcare providers, auditors, regulators and healthcare providers and will also cover professionalism related topics for actuaries.

Description: The need for LTC services is projected to increase as the general population ages. Many LTC carriers have helped meet this demand but are looking for new ways to mitigate underpriced risks and to improve policyholders' quality of life. Aging-in-place interventions can be an effective method to mitigate financial risks and improve health outcomes. However, many carriers face challenges to prove financial benefits/ROI, quantify program effectiveness, or simply don't have clarity on how to start and implement these initiatives effectively or operationally.

Description: Align carrier, agent, and consumer definition(s) of DTC to establish a collective understanding for the affected parties. Understand why a direct-to-consumer approach may be important for carriers’ and distributors’ growth and development goals, tactics and strategies. Use the agreed-upon baseline and understanding of DTC’s importance to establish and agree upon reasonable expectations for its role in marketing, distribution, and product development and performance. Position carriers and distributors together to align sales, marketing and performance expectations and incentives for all parties to increase the possibility of outperforming in (and outside of) the DTC space; design sales, marketing and distribution systems and approaches to meet consumers where they are at; and expand current sales and cultivate new markets to remain relevant and magnify profiles in an ever-changing industry.

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.