Description: LDTI’s introduction has forced many insurers to examine their existing operations and technologies. They must determine how to optimize compliance efforts while balancing data, analytics and system modernization considerations to achieve maximum value. This article will examine the four key facets—the data, technology, processes, and people—essential to any successful LDTI exercise. It will also touch on the various approaches for tackling LDTI and how a modernization mindset can help insurers realize much greater transformation for the business.

Description: This article describes how to externalize code of Moody's Axis platform to Visual Studio, so that all the actuarial calculation code run through corporate DevOps pipeline. This article gives specific examples of the author has used in his job to accomplish automated model governance.

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

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

Description: This chapter focuses on creating practical models that aid in the prediction of the risk of readmission to a specific hospital within 30 days of discharge for Medicare patients, to aid in the identification and stratification of at-risk patients for hospitals considering building an intervention program in a cost-effective manner. For readers who wish to develop their own predictive model, a dataset is provided on the Actexmadriver.com website, and R code is provided in the appendix to this chapter.

Description: A look at the near future and far future of various elements of Actuarial Models as defined through ASOP 51. What is driving the complexity for inputs, calculations, and outputs. Howe will actuaries handle these challenge?

Description: Actuaries are currently familiar with the impact of new technologies used primarily by clinicians and health care providers, such as new drugs and devices. The common theme emerging from many of the articles points to a technological revolution in health care accelerated by the COVID-19 crisis this year. Actuaries need to understand these technologies, their impact, learn how to drive this technological change and guide the response of their profession and their own health care organizations.

Description: Explore similarities between actuaries and data scientists as speakers share personal experiences on the importance of organizational structure. Attend the Actuary, Data Scientist, or Actuarial Data Scientist webcast to discover the effectiveness of partnering both of these career paths in a life insurance atmosphere. In addition to personal experiences, speakers will discuss several success stories where collaboration and connection became the key to driving innovation. Come learn about the progress these professions have caused in pricing and risk management.

Description: This is a discussion from the June 2000 meeting of the Society of Actuaries in San Diego, looking at the evolution of e-commerce for the insurance business.

Description: The session will feature case study discussion of how insurers can improve their model architecture and data visualization to prepare for the increasing demands of the future. Actuarial data and analysis has long been limited by the complexity and diversity of historical systems. External pressure on insurers is higher than ever before, as new requirements take effect under PBR, GAAP Targeted Improvements, and IFRS17.