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

Description: The article describes principles for optimal sub-tasking of a project goal. Two experiments each one comparing different approaches are presented. A summary of principles for optimal goal setting presents seven key points: i)levels of outcome goals should be recognizable and lack ambiguity; ii) each subtask should be atomic, i.e. not be capable of being broken up into further subtasks, iii) the subtasks should be uniform, lacking ambiguity, so that any new trainee could master it without the need for further guidance; iv) each subtask should be attainable in a reasonable amount of time; v) mentor feedback should be provided during the initial stages of learning or training; vi) upon mastery of each subtask trainees should be encouraged to maximize their overall score; vii) after mastery of individual subtasks, while attempting to maximize scores, trainees should be provided with a mixture of easy, intermediate, and difficult tasks.

Description: It is well established that empowerment of staff is a critical leadership trait. But what are the metrics to recognize that you have achieved it? What steps enable this achievement? Which psychological attributes explain its efficacy?This article proposes to answer these questions through a multi-disciplinary examination of empowerment in the context of three leadership domains.

Description: Actuarial functions are being asked to do more with less: being challenged to provide more value to the business through applying insight and foresight. This article examines ways in which actuaries can provide business insights with very limited investment. The article provides actionable steps that actuaries easily apply to their daily work.

Description: This article studies the syllabus as a dynamic, interactive teaching tool that informs and is informed by both solutions of complex course problems and student difficulties with these problems.

Description: Simple mathematical equations often outperform very complex ones in predictive analytics (PA) situations. This session will cover "why" and "how" to guard against overfitting and other potential pitfalls that might not be intuitive.

Description: The arrival of ASU 2018-12 (a.k.a Targeted Improvements to the Accounting for Long-Duration Contracts or GAAP Targeted Improvements) presents insurers with augmented financial reporting risk across all areas of the valuation process. Naturally, the internal control frameworks that serve to mitigate these risks must evolve and expand. Valuation actuaries should view this transformative event as an opportunity to take an active role in developing new and improved controls that are both effective and sustainable.