Description: Hear about modernized reporting capabilities and technical analysis, which is enabled through access to deep actuarial and financial planning data. The webcast will focus on a real post-Long Duration Targeted Improvements (LDTI) source of earnings analysis and on a high-level LDTI forecasting capability.

Description: An interview with actuary Lee Gold reveals preliminary results of a recent SOA research project which surveyed employees on what retirement plan features they prefer.

Description: Hot Topics in Setting Pension Return Assumptions is the third in a series, following Mathematics of Pension Return Assumption and Inflation, focusing on Effects, Forecasts, and Role in Pension Valuations. What time horizon is more appropriate for Capital Market Assumption (CMA) forecasts: mid-term or long-term time horizon, or a blend of both? How do we map the asset classes of a plan's own investment policy to the asset classes of investment forecasters' CMAs? If we use asset-smoothing for valuation assets, should we use market-driven expected returns or smoothed/average versions of them?

Description: The October/November 2013 edition of The Actuary magazine—the Society of Actuaries’ flagship publication.

Description: Read the January 2020 issue of International News published by the International Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: This short note discusses creativity in the context of actuarial science, and how to cultivate it. We first attempt to define creative thinking as opposed to procedural thinking or memory recall. We then describe concrete examples of actuarial projects that promote deeper thinking. We also address why creativity is needed and how to make sure our students are able to communicate their creative ideas effectively.

Description: The 2023 Professionalism in Practice Course will study, discuss and explore the professionalism practice, code of conduct and application of the actuarial profession. Our speakers are seasoned presenters from mainland China. Experts will cover several issues encountered in daily actuarial working environments. Content will include business cases and interactive discussions, which aim to enrich the practical learning experience of attendees. Audience attendance will be limited in order to provide an interactive, collaborative learning experience. Early registration is highly recommended to secure a seat.

Description: LDTI’s introduction has forced many insurers to examine their existing operations and technologies. They must determine how to optimize compliance efforts while balancing data, analytics and system modernization considerations to achieve maximum value. This article will examine the four key facets—the data, technology, processes, and people—essential to any successful LDTI exercise. It will also touch on the various approaches for tackling LDTI and how a modernization mindset can help insurers realize much greater transformation for the business.

Description: Gearing up-- exploring the rewards for completing the SoA Competency Framework tools of Self-Assessment and Personal Development Plan.

Description: With the rapid development of the Insurance market, insurance technology—including online insurance--continues to mature. Zhongan Online invests heavily in fintechand Zhongan Answer, an insurance robo-advisor, launched in 2018, could improve transaction efficiency by using artificial intelligence to communicate in a timely manner and solve the pain point of the perplexed insurance clause. Under a different consumption scenario, Zhongan Answer could reply to users in a timely manner, while also implementing private customized products and services by providing users with personal risk management and insurance assessment solutions so that users could easily and conveniently select the most suitable insurance plan. The intelligent shopping guide system of Zhongan Answer could improve transaction efficiency by analyzing the personal insurance intention and providing the humanized interpretation of insurance clause. Zhongan Answer has served millions of users and supported more than 100,000 insurance-related knowledge points with an accuracy rate over 90%. Zhongan Answer has provided more than four million Q&A services, and its intelligent shopping guide system covers more than 90% of insurance products.