Description: Panelists discuss pricing issues, patent issues, safeguards, successes, failures, and other observations about the future of automated underwriting. From the 2002 Record of Society of Actuaries, Volume 28, No. 3. Session 134PD of the Boston Annual Meeting.

Description: This paper improves Chapter 2 of 'Mathematics of Pension Funding' - Part 7 Study Notes. Key formulas are derived in a more general fashion than in the Study Notes.

Description: In year’s past, we presented the Practical Predictive Analytics Seminar (PPAS) as an add-on to the Life and Annuity Symposium or attached to the Predictive Analytics Seminar, this year it will take place as a stand-alone virtual Seminar.

Description: This article is a brief overview of what digital health is, how it is regulated, and who some of the big unicorns are.

Description: Mindful data visualizations show the end users the end way in how to analyze and interpret your data. More importantly, they can then use this data they see to drive decisions and modeling going forward.

Description: The following case study walks through the steps of a predictive modeling exercise to illustrate one way analytics can streamline the underwriting paradigm.

Description: Maintaining solid financial performance is a KPI for senior management. With the advancement of technology, the management can leverage new techniques to improve their decision making and focus on higher value activities in a timely manner. This presentation sets out the use of 1. correlation analysis to draw relationship between financial metrics and 2. smart analytics techniques, including text mining and analytics, to identify trends and drivers that impact the valuation of a company. We will also assess how the results of a comprehensive financial analysis could influence risk management considerations, including business steering and risk strategy.

Description: This session will cover assumption determination for annuities under VM-21 with emphasis on contract holder behavior assumptions, prudent estimate mortality assumptions and measuring credibility.

Description: Big data, predictive analytics, machine learning and AI will likely transform the insurance market and the actuarial profession. The actuarial profession is seeing changes many markets, including health and property and casualty. This article describes these trends and provides an introduction into what companies and the Society of Actuaries (SOA) are doing to adapt and capitalize on these trends.