Description: In this session, we will provide examples and highlight real-world analytics that have been done to compare providers of tertiary and quaternary (T/Q) services (i.e., complex and potentially rare conditions). We also will address the need for analytics like this, who the potential audiences are, the data necessary to complete an analysis, and we will walk through actual case studies.

Description: Unique Data Analysis Techniques to help plans find that 1% edge in opportunity and value. The discussion will vary from a conversation on members who are at high catastrophic risk to provider networks and referral patterns. The goal of the session will be to help show ways plans can create savings through outside-the-box techniques.

Description: In this session, actuaries and data scientists will describe how the Cleveland Clinic has utilized large language models to support caregivers with difficult end of life conversations with patients and their loved ones. While artificial intelligence is often prefaced with words of caution, it can also be harnessed for good.

Description: Come dive into the Introduction to Modeling Summer Boot Camp series, which will provide an overview of modeling topics and techniques aimed at the beginner modeler. This interactive Zoom series will be comprised of five 90-minute sessions (August 24, 25, 30, 31 and September 1), with opportunities to discuss the topics in small break-out groups.

Description: This article introduces the reader to probabilistic methods used to model interactions in the financial market place. Three topics are specifically discussed, two concern modeling methods and the other concerns data analysis methods.

Description: Introduces the concept of total risk analysis, a methodology used to answer questions like "what are the chances we will lose more than $1 million"

Description: The session will feature case study discussion of how insurers can improve their model architecture and data visualization to prepare for the increasing demands of the future. Actuarial data and analysis has long been limited by the complexity and diversity of historical systems. External pressure on insurers is higher than ever before, as new requirements take effect under PBR, GAAP Targeted Improvements, and IFRS17.

Description: Learn about business Analytics in Insurance - Practical case studies and implementation.

Description: In the first part of this series, the presenters will provide the results of a recent SOA multi-country survey on mortality improvement practices of life insurance companies. In the second part of this session, they will discuss the issues and solutions related to the development of the most recent RPEC mortality improvement assumptions.

Description: What is going on with the exchange rate, anyway? In 2002, $1 U.S. bought $C 1.60, and now in May 2005 you only get $C 1.25—that’s 20 percent less! Where’s it going next? One way to answer that question is with a time series model.