Description: The barrier between humans and machines continues to blur, but curiously, this may have been prediction thousands of years ago in ancient myths. This article looks to how some of the early legends are becoming manifest in modern technology, particularly in the area of elder care. From automation, to humanoid assistants, to mind clones will the age of technology bring a new utopia?

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: The purpose of this paper is to define a predictive model, based on known system attributes, for assessing risk associated with information systems.

Description: Predictive modeling is a powerful toolset for assumption setting (mortality, lapse, etc.). The multivariate approach has its advantages in handling high-dimensional data, address correlations, and statistical significance. However, building insurance assumptions is far more than a simple modeling practice. One must take care to address how the model is applied and its business implications. This session will share the learnings from multiple projects.

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.

Description: Gather with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, pension, investment, product strategy, and more.

Description: ReFocus is an annual global conference for senior-level life insurance and reinsurance executives hosted jointly by ACLI and the Society of Actuaries (SOA). This event features top-notch speakers, thought-provoking sessions, and superior networking opportunities.

Description: Digital Long-Term Care Insurer for the Post-Coronavirus World.

Description: Principal Analyst Laurie M. Orlov of the Aging in Place Technology Watch will present a roadmap for the technology and ITSS marketplace. She will explore where it has been, what it does best, where it is going, and the challenges it faces. She has been a leading researcher and independent analyst in this field for more than 20 years.

Description: This chapter introduces a few probability distributions that play an important role in understanding and analyzing healthcare data. While theoretical in nature, these distributions model real life if appropriately chosen. Probability distributions are mathematical representations of how statistical data behave.