Description: Four appendices are attached to the monograph: a letter requesting information, two letters requesting participation, and a set of general database specifications. From Group Medical Insurance Large Claims Database Collections and Analysis, M-HB97-1.

Description: "Modern actuarial work, being highly data-intensive, offers many opportunities for actuaries to apply the statistical skills gained through their basic training. Advances in computing allow us to analyze vast quantities of data efficiently, and many software packages provide statistical 'answers' to almost any question an actuary might ask. However, in this field, it is often worth taking a step back, and ensuring that we recall and consider the warnings that come with each of the statistical procedures we might attempt to use. This will allow us to ensure that we guard ourselves against drawing inappropriate conclusions, which could come back to haunt us later. At the conclusion of the session, attendees will be able to avoid drawing inappropriate statistical conclusions while doing their work. They will leave informed about the types of pitfalls that exist and where those might come into play in actuarial work."

Description: "The Individual Life Experience Committee continues to unlock valuable insights from the VM51 data as the NAIC releases it. In this session, attendees will get a preview of individual life mortality patterns during COVID-19 for more than 100 companies in the NAIC data for the years 2020 to 2021, the first years of the pandemic. The session will also share early findings from the committee's latest initiatives, including the integration of predictive analytics into reporting products, assessment of simplified and accelerated underwriting, exploration of joint life mortality, evaluation of company-level differences, and continued research into old-age mortality patterns. Attendees will leave the session with enhanced knowledge for assessing best-estimate mortality for valuation purposes."

Description: Session 5A: Creating Continuity in Behavioral Health for Medicaid & ACA Beneficiaries

Description: Join in and learn to describe the changes in provider contracting that are emerging in the post-COVID marketplace. Examples include: - Carrier transparency files - Increase sophistication of provider negotiators - Additional sources of data - Market issues increasing urgency - Demanding new contracting models

Description: This report presents research into recent population mortality experience compiled by the Retirement Plans Experience Committee (RPEC) of the Society of Actuaries Research Institute as it pertains to development of mortality improvement assumptions for measuring obligations of retirement programs in the United States.

Description: This report presents research into recent population mortality experience compiled by the Retirement Plans Experience Committee of the Society of Actuaries Research Institute as it pertains to development of mortality improvement assumptions for measuring obligations of retirement programs in the United States.

Description: Open source programming languages have become a common part of the actuarial toolkit over the years. Using tools like R and Python, highly technical actuaries can automate onerous processes, easily work with massive amounts of data, create models and generate reports. Although these tools excel at turbo-charging analysts, it can be difficult for benefits to inure to the rest of the organization given the learning curve (“Can’t you just put this in Excel?”), control risks (“So your entire process could break overnight if some random person in Nebraska changes something?”), and internal IT environments. Listen in on a panel discussion where presenters share their personal stories of working with open source in a production setting. Hear about real world business problems, how open source tools were used, what risks were present, how they were overcome and the final business result.

Description: Toward a Predictive Analytics Framework files

Description: A data format for mortality tables along with applications.