Description: CMS provides ACOs with monthly claims data for members, including their medical visits and ACO program eligibility. This data can be divided into Membership and Claims tables through the ETL process. However, when calculating PMPY at specific levels of detail using these tables, issues arise due to unrelated dimensions, leading to inaccurate and understated results. This article presents a solution to this problem by utilizing Tableau's data blending capabilities.

Description: This newsletter provides a regulation outlook for the use of AI/ML in insurance industry, interpretations of regulatory expectations and what insurers should consider when managing risks associated with the development, implementation and use of AI/ML models/tools.

Description: Pension risk transfer (PRT) has increasingly been a focus of private sector pension plan sponsors over the past decade. The U.S. PRT market had a record-breaking 2021. There are a few forms of PRT, and the data challenge applies to all of them. As an insurer, winning the PRT business is only the first step. There are more challenges when incorporating the data from an outdated admin system into the valuation system. A lot of manual intervention is needed for many companies, which brings different issues. Under LDTI, insurers also need better assumption management. By attending the session, you will: - Understand better different types of penstion risk transfer. - Understand the common challenges insurers face when taking on new PRT business. - Comprehend data-driven solutions that leverage different technologies to automate the reporting process. - Learn additional requirements related to PRT under LDTI.

Description: We're introducing a new “cutting edge” wealth accumulation predictive framework, the predictive equity analytics (PEA) for life products (annuity, insurance, group employer benefits, retirement plan). PEA enables life insurers and policyholders to avoid market downturns and capture returns from equities (stocks, ETFs and mutual funds) predicted to increase in next one to three trade days via fund prediction advisory by insurers, additionally by individual policyholders. The capability does not exist in insurance markets nor in financial intermediary markets.

Description: Almost every actuary will, at some point in their career, be called upon to perform work described as business as usual (BAU). BAU work takes on many forms, ranging from daily pricing or hedging exercises to annual valuation or audit support and nearly everything in between, however, a common thread among most BAU activities is that unusual issues have a tendency to arise, resulting in inefficiencies, long hours, and sometimes missed deadlines. Learn from a panel of actuaries that will relate tales of unusual issues that derailed BAU routines. Examine how these issues arose, the impact they had on the actuary's work and life, and steps that could prevent similar issues from occurring in the future, with a focus on governance, controls, and analytics. By attending the session, you will: Understand some of the common pitfalls that can interfere with smooth BAU operations, as well as some strategies that can be employed to mitigate or prevent issues in their own BAU work.

Description: Navigate complexities of retirement financing considering longevity's impact. Use these tools to help differentiate longevity from life expectancy and avoid outliving financial resources.

Description: Read how the world’s largest provider of specialty insurance for classic vehicles uses its media department’s YouTube videos to its full advantage.

Description: View the Data Challenges in Building a Facial Recognition Model and How to Mitigate Them

Description: Hardly a day goes by without a feature story about the latest reverberation from the expanding use of Artificial Intelligence/Large Language Models (tools) in a variety of settings. The pace of use (and misuse) of these tools, such as ChatGPT and Bard, has been explosive and shows no sign of abating. Many experts would argue we are on the cusp of a permanent paradigm shift in teaching/academics and overall application of technology. With these issues in mind, the Society of Actuaries (SOA) Research Institute’s Aging and Retirement program is interested in an exploration of this topic from a variety of perspectives. The result of this effort is intended to provide a useful resource for readers to become well-grounded on the issues surrounding the impact of these tools in a retirement context and set the stage for future research.

Description: The barrier between humans and machines continues to blur, but curiously, this may have been prediction thousands of years ago in ancient myths. This article looks to how some of the early legends are becoming manifest in modern technology, particularly in the area of elder care. From automation, to humanoid assistants, to mind clones will the age of technology bring a new utopia?