Description: In September 2017, the China Insurance Regulatory Commission (CIRC) issued the “C-ROSS Phase II project construction plan”, planned to be used across three years’ time, by perfecting the regulations, improving the operational mechanism and strengthening the regulatory cooperation.

Description: The Society of Actuaries (SOA) Board of Directors (Board) gathered in Chicago March 16–17 for its first meeting of the year. Among key topics on the agenda were the FSA pathway evolution update, Board elections, strategic planning and the use of AI in the workforce.

Description: The Introduction to Modeling: Summer Boot Camp series provides an overview of modeling topics and techniques aimed at the beginner modeler. This interactive series is comprised of five 90-minute sessions with opportunities to discuss the topics in small break-out groups.

Description: View the Avoiding Unfair Bias in Insurance Applications of AI Models

Description: How the speed of change is accelerating and how we could react to this as a profession.

Description: The following case study walks through the steps of a predictive modeling exercise to illustrate one way analytics can streamline the underwriting paradigm.

Description: 1998 Valuation Actuary Symposium. The panelists discussed the benefits of data integration, data warehousing, what OLifE is now, and what it is projected to be in the future.

Description: CMS has required hospitals to publish their chargemaster rates, cash discounts and negotiated rates as of January 1, 2021. Our panel is comprised of a data strategist, an executive from a large hospital system and an actuary.

Description: This article describes one of the keys to successful marketing in the current environment - build a relational database that will help the agent communicate with a client in an organized way, so that we can educate, inform, present choices and help these clients navigate their financial future. This article provides the elements of such a database.

Description: This article summarizes five key lessons we have learned in implementing LDTI and shares our insights on practical ways to address them. This is not an exhaustive list of implementation challenges, but companies that can successfully tackle the issues we describe should have a smoother data and systems implementation transition.