Description: It's a given that actuaries have well-developed technical skills. Early career development for actuaries is focused on building a strong technical and industry foundation. However, once that development has occurred an actuary still has most of their career left. Many want to remain technical experts operating in an environment they love. Others, either by design or otherwise, end up in leadership and management roles. In fact, actuaries are typically very well positioned to become senior leaders within their organizations. However, while the technical development of actuaries is a well-defined path, leadership development is not. The competencies that make for good technical actuaries aren't necessarily the competencies that make good leaders. An actuary striving for a broad leadership role needs to build strong communication and influencing skills, as well as strategic and general business skills. They must be able to quickly adapt to being submerged in a fast-paced, results-oriented environment. This workshop is intended to educate mid-level actuaries on the key characteristics that define good leaders and how to focus on building the skills necessary to successfully transition into a leadership role. At the conclusion of the session, attendees will be able to: - Determine if a leadership path is right for them - Learn the key competencies that make good leaders - Understand how to build the skills necessary to move from technical expert to leader

Description: Companies with the intention of being the top, trusted source(s) in an information overloaded world.

Description: Enabling better care, mood management and even slowing and reversing memory loss for Alzheimer's and dementia care.

Description: Support systems and new solutions to enable caregivers to deliver better care and reduce personal stress.

Description: The session will talk about the basic knowledge of GLM model that is relevant for insurance professionals. It will consist of explaining the concept, issues, tools and applications especially from insurance industry perspective. The session will also talk about how actuaries can benefit from predictive analytics. Advanced business analytics provides employers with insightful decision making and affords the opportunity to assess a marketplace from a totally new perspective. In this session, I will share some modelling techniques used in general insurance company for reference.

Description: In this session, we will discuss the advantages of using stochastic simulation of decrements in actuarial projections. We will also discuss practical approaches for parameterizing assumption probability distributions for simulation using predictive models as well as challenges the practitioner may face in implementation.

Description: Data science and predictive analytics are rapidly growing fields and the tools are evolving at a formidable pace. The actuary who wants to be most effective will most likely have to learn at least the basics of more than one programming language, such as R, Python, or Julia, depending on the problem at hand. The Jupyter Notebook App allows you to create interactive notebook documents that are relatively language agnostic, so you only need to learn a single integrated development environment. More importantly, Jupyter Notebooks allows you to easily combine input (code), output (including visualizations), and documentation in a single, shareable, document. Learn how to make better use of your time with these very useful notebooks. This demonstration-based talk will also cover JupyterLab, the next generation of notebooks.

Description: This session will discuss strategy and tactics for becoming good stewards of consumer/customer data. Topics will include various techniques, such as anonymization, pseudonymization, tokenization, and the merging of disparate, de-identified data sources.

Description: Neural Networks are no longer limited to classification and regression solutions to numeric problems. CNNs add the ability to classify images, and GANs can create new images. Learn how these capabilities can provide competitive advantages to early adopters, how they work, and how to implement them.

Description: Techniques that have gained some traction in general (property/casualty) insurance will be highlighted with a particular focus on the linear mixed model. This model adds random effects to the more commonly seen fixed effects (for example, as used in GLMs).