Description: The potential impact and effects that artificial intelligence might have on life insurance companies.

Description: A discussion on supervised learning--the class of machine learning where a model is trained to produce a specific result for a given input.

Description: Four ways in which actuaries can effectively work to help successfully implement system development projects.

Description: The P versus NP millennium problem considers a grouping of programs based on a formula for how long at most it takes to process an input string of length n. This article discusses building computer models to solve such problems and generalizes this to business applications.

Description: Read the October 2017 issue of CompAct, published by the Technology Section.

Description: A description of how IoT can benefit life insurance companies.

Description: Actuarial systems access and change controls are hot topics these days as modeling continues to increase in complexity and as new modeling regulations may begin to crest over the horizon. Many companies are currently in the process of either formalizing their actuarial system access and change control protocols, or are reevaluating and strengthening their existing control processes in response to identified deficiencies or in conjunction with new actuarial system implementations. With these undertakings in mind, this article discusses a number of valuable components commonly incorporated in formal systems access and change control protocols. Also discussed are leading practices identified in the SOA publication “Actuarial Modeling Controls: A Survey of Actuarial Modeling Controls in the Context of a Model-Based Valuation Framework (December 2012)”, and from the Institute and Faculty of Actuaries.

Description: Actuarial modelers need to engage and leverage IT expertise in the design, maintenance, and control of actuarial models.

Description: This article discussed the NEAT family of neural network algorithms. NEAT automatically determines the number of hidden neurons, as well as their structure. Additionally HyperNEAT can scale to very large problem domains.

Description: Discussion of how to apply FinTech and IT processes and technologies to building an in house actuarial models.