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: The landscape of insurance is ever evolving with pet insurance emerging as a significant and rapidly growing segment. This webinar will cover a broad spectrum of topics essential for actuaries venturing into pet insurance, including: The pet insurance market, including major players, consolidation of the market, M&A activity. Actuarial issues like anti-selection spirals and the need (and opportunity) for growth. Regulatory headwinds. Whether you're new to pet insurance or looking to deepen your expertise, this webinar will provide you with the knowledge and tools needed to navigate this growing field successfully.

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

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 Casualty Actuarial Society, the Society of Actuaries Research Institute, the Society of Actuaries Joint Risk Management, Reinsurance and Financial Reporting Sections are pleased to make available key findings from the 2022 Emerging Risks Survey, the sixteenth in the series. Conducted by Max J. Rudolph of Rudolph Financial Consulting LLC, the survey incorporated a set of Emerging Risks defined by the World Economic Forum as the basis for several of the questions. The survey also included questions related to current risk management topics.

Description: The Society of Actuaries (SOA) Research Institute released a report summarizing the InsurTech Insights Americas conference held May 24-26, 2022. InsurTech, a concept created 10-15 years ago, is maturing and currently western financial markets are recording a downward trend while inflation is rising. While this downward pressure on financing makes investors more cautious, stakeholders are working towards partnerships to improve the overall effectiveness and purpose of the insurance industry.

Description: Artificial intelligence is no longer an emerging technology — it is rapidly becoming the core engine of risk selection, pricing, underwriting, and customer interaction across insurance and financial services. But as models evolve into autonomous agentic systems and decision pipelines become more complex, traditional guardrails are being stress-tested like never before.