Description: Over the last 10 years, Artificial Intelligence (AI) healthcare foundation models have made tremendous strides when it comes to delivering highly accurate predictive results when compared to traditional models. This is especially true for models developed and trained on the ‘language’ of healthcare. When trained on healthcare data sequences (claims, EHR, CPT, ICD, pharmacy, lab, etc.), these models deliver far more accurate results as to WHAT beneficiary-level health events will occur and even WHEN they will occur.

Description: In this video Ben Keslowitz describes the differences in types of Annuities. Ben discusses that there are two main types: immediate annuities, which start payments right away, and deferred annuities, which delay payments. He then goes on to discuss immediate annuities include lifetime, certain only, certain and life, and joint and survivor annuities, each offering different payment structures and durations. He dives into these structures to give the viewer an intro level on options on annuities.

Description: This report examines the influence of climate-induced migration on U.S. state-level population shifts and property insurance market responses, including rate setting, regulation, and insurer behavior.

Description: The Mortality Improvement subgroup of the American Academy of Actuaries’ Work Group and the Society of Actuaries’ Mortality and Longevity Oversight Advisory Council released a recommendation for a set of improvement factors that vary by gender and attained age to be used in conjunction with the 2008 Valuation Basic table or the 2015 Valuation Basic table for AG-38 purposes. This recommendation has been adopted by the NAIC’s Life Actuarial Task Force.

Description: The presenters give a history lesson on the origin of CMS Medicare star ratings, including why this demonstration was originally created and how the program has worked over the years. The discussion will cover both the evolution of the underlying measures and the financial impact to Medicare Advantage stakeholders. By attending the session, you will have a stronger understanding of how member experience and outcome-based measures can be factored into the funding within a health care system to better align incentives among various stakeholders.

Description: Hear about some applications using quantile regression-derived individual and group claim distributions and how they may be used in various traditional health care modeling situations. The session will not focus on the technical use of quantile regression to obtain estimates of claim distributions, but more so is intended to focus on the uses of the distributions in actuarial modeling and the additive framework in assessing claims distributions. Presenters will show how actuaries can better assess risks by focusing on the individual- and group-specific claims distributions as opposed to traditional point-estimate-centric models.

Description: This paper is an introduction to AI technology designed for actuaries to understand how the technology works, the potential risks it could introduce, and how to mitigate risks.

Description: To complement the limitations posed by the static nature of current survey papers in cyber risk literature and to facilitate cyber risk research, this project features a Natural Language Processing (NLP)-powered repository and search tool “CyLit” built by the authors.

Description: Financial economics is the discipline underlying all financial services. No matter what your area of specialty or your role in your organization, an understanding of financial economics is essential. As you will learn in this module, financial economics is the study of how individuals and institutions acquire, save, and invest money. These activities are fundamental to institutions and individuals. Thus, not only will this module help you be a more knowledgeable actuary, it will also help you with your personal financial planning.

Description: Using Taiwan Complete Life Tables as the data source, a model is developed using reliability theory and the results of the proposed model are compared to Gompertz’s law.