Description: An overview of the basic tooling and packages available for the Julia programming language, with a focus on why this is of interest to the actuarial profession. It covers some of the built-in language features as well parts of the Julia package ecosystem that make Julia ideal for modeling and data analysis. This is the second installment in a series of article aimed at actuaries. The first installment, Julia for Actuaries, was published in the October 2020 edition of Actuarial Technology Today, and covered the base language itself, its high-level, math-friendly syntax, and why the actuary of the future should consider its adoption.

Description: Reunite with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, IFRS 17, product strategy, cross-border communication and discussion, and more. Advance your career through learning and networking opportunities, and share your experiences in the finance and insurance industries, as well as other fields related to actuarial science.

Description: Python has become the fastest-growing major programming language in the world. It has surged in popularity over the last decade, following the development of its industry-leading capabilities in data science, machine learning and artificial intelligence, and it is now one of the most globally popular and widely used languages. In this article, I discuss some of the reasons for its popularity and explain why many actuaries and insurers have started using Python.

Description: CMS provides ACOs with monthly claims data for members, including their medical visits and ACO program eligibility. This data can be divided into Membership and Claims tables through the ETL process. However, when calculating PMPY at specific levels of detail using these tables, issues arise due to unrelated dimensions, leading to inaccurate and understated results. This article presents a solution to this problem by utilizing Tableau's data blending capabilities.

Description: Learn how modernization of data, models, and technology are influencing workflows. This webcast will address how workflows are changing in response to new regulatory requirements and the impacts the changes have on modeling and end-to-end future state operating models. Industry leading actuaries will discuss: How team collaboration can increase quality and speed of reporting to internal and external stakeholders How to strengthen controls and compliance frameworks across finance and actuarial departments How to modernize actuarial input/output for strategic analysis and insights How to attract and retain top talent by improving opportunities for actuaries There will also be dedicated time to ask questions of those who have made the transition.

Description: Actuaries and their IT counterparts are required to collaborate more frequently and on more complex projects than ever before. The recent accounting changes (LDTI, IFRS 17, PBR), investor demands for increased transparency, and competitive pressures have led to many insurers undertaking large actuarial and financial transformations. As a result, senior management is challenging their actuarial and IT leaders to develop new processes that use data in new and improved ways. The actuarial and IT functions are being tasked with not only delivering on changes to systems, processes, and data, but also with rethinking how their teams collaborate and interact

Description: Artificial intelligence (“AI”) adoption in the insurance industry is increasing. One known risk as adoption of AI increases is the potential for unfair bias. Central to understanding where and how unfair bias may occur in AI systems is defining what unfair bias means and what constitutes fairness.

Description: Every patient leaving the hospital has personal life-context circumstances that impact their chances of successful recovery and complications can be costly. Complex care management impacts over 50 percent of health care spend, with the admitted commercial population driving 37 percent of spend or $177M per 100,000 lives and the Medicare population driving 53 percent of spend or $600 million per 100,000 lives. The stakes are high, but existing care management solutions are mostly clinical and navigation call centers provide fragmented and outdated patient management systems, and do not address individual life-context. Discharged patients therefore remain underengaged and undercompliant, leading to costly complications. Innovative technology can help enable and integrate systems and existing infrastructure to leverage evidence-based contextualized care that will enhance care management, improve efficiency, and drive a better experience and outcomes for patients. This technology helps codifies life context, dynamically stratifying and engaging members digitally and telephonically helping virtual care teams to be more effective and efficient. In a recent randomized clinical trial, this technology and approach has shown a 50 percent reduction in the total cost of care, cutting the average and total cost of readmission, increasing virtual care team impact and member engagement and trust.

Description: Ensuring employees retire with adequate benefits is an ever-growing challenge. During this webcast, we will highlight key insights from the fields of behavioral economics and data analytics that can be utilized to better equip employees for retirement. Areas of focus will include inherent biases that people exhibit and how employers can use these biases to design plan features that will nudge their employees towards making better decisions for their futures.

Description: Digital savvy consumers are demanding a change in the way they engage with their insurance carriers. As smartphone owners utilize their devices for financial management more than ever, insurance carriers aim to create a similar seamless digital strategy, offering customers a personalized experience on multiple platforms. Cloud-based applications also enable productivity, accountability and innovation in the insurance industry. Discover avenues of customer engagement through digital platforms, including new technologies and products, and why the value of data and data science is critical for business, such as adaptability, marketing and insightful pricing. Presenters will also touch on: - managing retention and lapses through data-driven continuous improvement cycling - high-level system architectures illustrating how multiple applications (front/mid/back office systems) will integrate with each other and share connected data example data points being captured within various marketing systems - data collection within various digital platforms - data science applications that help with business growth, retention, lapsation, effectiveness and cross-sell/up-sell opportunities, and the implications to actuarial functions - value and risk to carriers in the new digital paradigm