Description: A summary of potential future software-induced changes to the insurance industry, with a particular emphasis on machine vision technologies.

Description: Issue 38 of Actuary of the Future newsletter, November 2015

Description: Issue introduction and theme of how to improve our technical skills and soft skills to better cope with a rapidly changing world.

Description: David Januszewski looks at the the development of open source software in statistics. By comparing the virtues between SAS, the proprietary software and R, the open source software used by statisticians, he thinks that open source software "can and does coexist with the proprietary software" and "both have a purpose. "He further looks at the availability of the open source software in the actuarial profession and does not see "open source software sweeping across actuarial science like it has with other fields". Dave explains the possible uses and virtues of the open source software to actuaries and asserts that it may be beneficial that the open source is used together with the propriety software.

Description: As M2M are exponentially increasing, we will soon see reinventing of whole business models and customer relationships.

Description: Evan Borisenko looks at previous challenging environments for the life insurance industry, such as the a period of severe stagnation in the 1930s, the increased inflation in the 1980s and a catastrophe like the Spanish influenza after the World War I. Evan explains that "while each event described above challenged the life insurance industry in a unique way, each event stimulated an equally unique solution." The article concludes that we "fight to repeat history" in a way that we as actuaries should be able to propose unique solutions with when faced with crisis in the future.

Description: Actuaries of the future have to embrace the ideas and technologies that lie ahead.

Description: A short introduction of the characteristics of Blockchain technology

Description: This article defines microinsurance, describes its recent emergence and explains the main challenges faced by commercial insurers in serving the low-income market.

Description: It talks about the major areas of data science and how to learn data science with the actuarial background.