Description: 1993 SOA Spring Meeting, Boston. This session presented ways of using technology of 1993 in order to further actuarial applications and actuarial projects. The speakers related recent personal experiences in which emerging trends in hardware, software, and methodologies have been utilized.

Description: The global doubling of information content has been estimated to occur at a rate of every 12 hours, and conceivably faster. This ‘infowhelm’ is a double-edged sword for insurers. While maximization of the global knowledge base can fuel innovation, it can occur only in the context of reasonable cost for a higher benefit. The insurance industry – underwriters and actuaries in particular – are challenged to constantly examine new innovations that promise to raise confidence and protective value for insurability, within legal limits. This report aims to be the first of several to alert the SOA of promising innovations for the profession.

Description: This session at the SOA 1998 Maui I Spring Meeting is about the rapid expansion of the internet, how to set up a web page, how insurance companies and actuaries are using the internet for marketing, and how the public makes use of the internet.

Description: Author sees the present and looks into the future of sales and service aided by advances in computer and Internet technology.

Description: Read how the world’s largest provider of specialty insurance for classic vehicles uses its media department’s YouTube videos to its full advantage.

Description: In this article, Aneesha Deshpande examines how Hagerty's complementary business models- specialty insurance and automotive lifestyle and membership services- are a result of a deep understanding of customer needs.

Description: The aim of this research is to survey emerging data analytics techniques and discuss their evolution and growing use in the actuarial profession. Data analytics’ applications in life and non-life insurance will also be provided.

Description: The Society of Actuaries (SOA) Research Institute received a grant from the U.S. National Science Foundation (NSF) to educate insurance actuaries on the use of wildfire risk datasets and models to be developed by researchers from academia and the U.S. National Aeronautics and Space Administration (NASA).

Description: To remain relevant, insurers need to understand and adapt to changing consumer behaviors. There is no doubt about it, millennials have different expectations around searching, buying and servicing, and insurance is no exception! Come hear from four different insurance startups who are designing solutions for this future generation of insurance buyers, followed by a panel discussion with the opportunity to ask questions. You'll learn and perhaps even be inspired to propose solutions in your own company. You may even start calling yourself a Millenial Maven too!

Description: Machine learning algorithms fit models based on patterns identified in data and can be very complex. In this report, we describe and illustrate a range of methods for interpreting machine learning models from the growing field of Interpretable Machine Learning (IML).