Description: Presenters will explore specific actuarial use cases, showcasing custom-built demonstrations and discussing a wider range of applications.

Description: Actuaries team up with Payers and Providers, to share insight into their data-driven approaches for improving health plans' CMS Medicare Star Ratings, which leverage experiential analytics to create solutions. 'Experience' is the king-it is broader umbrella, which includes and addresses engagement, cultural competency, equity, cost, and lastly, 'quality'. By attending this session, you will be better equipped to turn real-life data into actionable business solutions-essentially, data science in action. Further, you will better appreciate the importance of stars and risk adjustment in the Medicare Advantage space, along with the consequences of coming up short.

Description: Actuaries today have unique opportunities to analyze, understand and use data for strategic decision making. With nearly unlimited computing power and a broad spectrum of data sources at our fingertips, we are enabled to support our actuarial judgment with comprehensive findings backed up by deep data analyses.

Description: Analyze financial risk and explore the foundation for pricing, valuation and other functions served by actuaries in the modeling profession during this webcast. Expect a focus on the importance of understanding and preventing bias. Observe the different types of bias, how it can enter into models, how to identify it in models and best avoidance practices. Join our presenter who is pursuing a Masters in Economic Analytics at Clemson University as he incorporates his recent economic research into the webcast material.

Description: Introducing Random Effects into Risk Score Models

Description: June 2024, AG54 will begin for new RILA sales. This guidance requires companies to determine an interim value that is more aligned with the market value of the position on a daily basis. This discussion will talk through companies adoption of AG54, lessons learned, approaches and integration with the administration system. Additionally this session will discuss how AG54 impacts new product design, reserving and capital implications.

Description: Historically for coinsurance deals some appointed actuaries have only concerned themselves with the reinsurer counterparty risk and in certain cases have ignored 100% coinsurance business in their asset adequacy analyses (AAA). Recently there have been regulatory discussions about concerns relating to asset intensive reinsurance and how these deals may be exposing policyholders to additional risk. Presenters will discuss the recent draft APF 2024-3 and issue brief 'Asset-Intensive Reinsurance Ceded Offshore From U.S. Life Insurers (With Focus on Bermuda)', potential impact to AAA, and modeling considerations.

Description: This session will address the risk management, reserving and capital issues associated with index-linked annuities including financial reporting considerations for FIAs and RILAs, benefits of combining VA and RILA hedging and reserving under VM-21, current and future challenges with FIA reserving under VM-22, potential capital redundancy for FIAs, RILA interim values under AG 54, NAIC economic scenario reform, asset modeling, fund mapping and more!

Description: This session is open to all, but targeted to pension actuaries looking to understand the mechanics of how PRT is priced by life insurance actuaries, as well as life insurance actuaries who wish to understand how the stream of expected benefit payments and Accrued Benefits Obligation is calculated by Retirement Actuaries. Pension Risk Transfer involves two distinct disciplines of the actuarial profession. To date, understanding the other side of Pension Risk Transfer has been limited. This session will attempt to clarify the mechanics of the other side of PRT and explain how an actuarial model consolidating the two separate sides can be built. Panelists will include a retirement consulting actuary who helps retirement plan sponsors bring their pension plans to market to purchase PRT, as well as an experienced life insurer who works to price PRT.

Description: In this presentation, actuaries and data scientists from Cleveland Clinic and Milliman discuss the development of a sepsis prediction model using machine learning. Presented with a unique challenge of handling massive amounts of data for near real-time risk scoring, the team took their model development to the cloud and delivered a product in less than a week through a unique virtual engagement.