Description: The COVID-19 pandemic initially caused some health care services to shift away from in-person transactions to a digital form, including telehealth, e-mails, remote patient monitoring and other forms of communication. If sustained, numerous effects and counter-effects both in the cost and quality of care as well as long-term outcomes for patient health may emerge.

Description: Winning essays form the Actuarial Practice Innovation Call for Essays.

Description: Winning essays form the Actuarial Practice Innovation Call for Essays.

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 report summarizes the results of a Delphi study to identify and debate possible new approaches or Blue Ocean Strategies to acquiring business by life insurers.

Description: Actuarial Innovation and Technology Topic - Innovation around the Globe

Description: This research assesses the evolution of life insurers’ Actuarial Transformation efforts and the future outlook, with a focus on emerging Advanced Analytics techniques.

Description: The actuarial profession is changing rapidly and the skills needed to be successful are also changing. In this session, we will debate key topics and questions, such as: What is the predominant future career path for actuaries? Specialists or generalists? Does the actuarial profession have a meaningful value prop outside our core domains e.g. insurance? What skills are needed for the actuary of the future? What’s the best approach to improve actuarial storytelling to non-actuarial audiences? What’s the role of actuaries to managing and predicting emerging trends and assumptions? What is the role of actuaries in relation to development and ownership of advanced modeling? Is the future actuarial profession smaller/larger than it is today? In either case, how does it differ from today in terms of make-up, deployment, function, purpose, value add, etc.?

Description: Creating a predictive model is one thing, but then taking that model and getting full stakeholder buy-in is another. Learn from presenters' experiences and insights on proving model effectiveness in the long-term care (LTC), life and annuity spaces. Explore various topics such as feasibility, model transparency, fairness and equity, ROI measurement, data assets and compliance, infrastructure and more. By the end of the session, you will gain an understanding of how to navigate the challenges of proving the effectiveness of predictive modeling and obtaining management buy-in.

Description: Because of its complexity, ensuring the security of cyberspace is one of today’s most significant challenges. As the cyber environment becomes more integrated with the real world, the direct impact of cyber security incidents on business is also heightened. This study aims to develop a generic model that can be applied by any organization. For the validation of the developed cyber risk analysis method, simulations and sensitivity analysis will be performed.