Description: Data science, predictive analytics and AI are certainly the buzzwords these days. They are heavily used and developed in underwriting and marketing but for most actuaries, they might/may as well be science fiction. The presenters will demonstrate how a normal actuary can utilize data science techniques in their daily job function without forming an official data science team within a company. It can be done in a gradual fashion so that normal business is not disrupted and improvements are made over time. The usage of data science techniques will include demonstrations of the following areas: - Regression analysis - Economic scenario generator - Experience study - Data quality checks - Inforce compression for explicit hedging

Description: An overview of how the actuary's role will evolve as technology improves.

Description: Read about The Bulletin Board Updates on important events related to the Technology Section.

Description: A call for proposals for research projects exploring recent insurance product innovations and their impacts on the industry. It outlines the background, purpose, objectives, proposal requirements, selection process, submission details, conditions, and conflict of interest disclosures.

Description: A personal account of how humor in the workplace improved productivity.

Description: The Society of Actuaries Board of Governors decided in June 1996 to discontinue the printed version of the Record in favor of electronic distribution, with the objectives of 1.hastening the availability of session transcripts to the members, 2. reducing publication costs, and 3. taking advantage of technological advances. This article introduces the availability of sessions for the 1996 Society of Actuaries meetings.

Description: This paper shows at a relatively low cost, computer assisted instructional techniques can materially improve both classroom instruction and independent study. This discussion is limited to the material used in a Penn State mathematics of finance course. From Actuarial Research Clearing House 1993, VOL. 1.

Description: As the insurance industry continues to evolve due to a pandemic and rapidly changing economic and regulatory conditions, the role of data scientists and actuaries has become increasingly important. In an interview with the Atidot data science and actuarial team, we discuss what it is like to work at an InsurTech, how data scientists and actuaries can collaborate, and look at some concrete technical examples of where the innovation is having an impact. This article explores what collaboration can look like and how the role of data science and actuary may evolve in the InsurTech industry in the future.

Description: Book review of 'Being Geek: The Software Developer's Career Handbook'

Description: An increasingly common question in our industry is - what should actuaries be doing and what should IT be doing? This gets at the difference between the self-service model, where actuaries have minimal reliance on ITand the shared-service model, where IT is a partner that helps with goals such as developing capabilities and running production models. The presenters will cover the unique value proposition of actuarial and IT functions and use that context to explore the pros and cons of the two models. They will ask what is going to drive the operating model in the future, considering the implications of trends in governance, technology toolkit and company culture. The presentation will be followed by interactive discussions on three case studies related to how IT and actuarial teams can work together most effectively, allowing the group to learn what works and what doesn't work from other companies approaching these challenges.