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

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: 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: This is a 4 part discussion about issues affecting small companies: 1. Marketing, 2. Electronic Data Processing, 3. Forecasting and control of operating results, and 4. Income and Expense Allocation. From Transactions of Society of Actuaries 1964, Vol. 16 Pt. 2

Description: As the insurance industry struggles along with the rest of its financial services brethren to operate in the current global recession, it must consider the true value of innovation. Insurers should reduce the focus on improving what they know how to do and look to what they could be doing in light of the change that swirls around them.

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).

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.