Description: Discuss various analytics and use cases using payer published reimbursement contract data under federal mandate of Transparency in Coverage. These contract rates are publicly available in machine readable format (MRF) starting July 1, 2022, and refreshed monthly. By attending the session, you will have a better understanding of the state-of-art development and analytics using MRF data, including the technologies used to extract and analyze huge MRF files, validation and limitations of published rates, and their use cases.

Description: Gain insights into the expanding scope of fluidless underwriting and conversation around why this is not yet the new normal for traditional life insurance business. A panel representing reinsurance, direct company, actuarial, and underwriting perspectives will discuss current developments in fluidless underwriting and downstream considerations for mortality outcomes. The panel will address such topics as: - High-level observations from newer underwriting tools and processes - Regulatory considerations for adopting new underwriting tools and processes, - Pitfalls in assuming business as usual when adopting new underwriting tools and processes, and - Considerations when determining the mortality impact of new underwriting tools and processes. By attending the session, you will: - Identify recent trends and outcomes from fluidless underwriting programs and why it is not yet the norm. - Recognize the different regulatory considerations for newer underwriting tools and processes. - Appreciate the nuances between established underwriting practices and expectations for new underwriting processes. - Understand drivers of mortality outcomes and considerations when quantifying changes to underwriting.

Description: Pension risk transfer (PRT) has increasingly been a focus of private sector pension plan sponsors over the past decade. The U.S. PRT market had a record-breaking 2021. There are a few forms of PRT, and the data challenge applies to all of them. As an insurer, winning the PRT business is only the first step. There are more challenges when incorporating the data from an outdated admin system into the valuation system. A lot of manual intervention is needed for many companies, which brings different issues. Under LDTI, insurers also need better assumption management. By attending the session, you will: - Understand better different types of penstion risk transfer. - Understand the common challenges insurers face when taking on new PRT business. - Comprehend data-driven solutions that leverage different technologies to automate the reporting process. - Learn additional requirements related to PRT under LDTI.

Description: To help familiarize actuaries in industry with statistical methods for imputing or modeling race and ethnicity in the U.S., the Institute’s Diversity, Equity and Inclusion Strategic Research Program is seeking a researcher to outline the various methods, including their strengths and weaknesses. The project intent is a methodology review rather than original thinking. The review should assume that the user will be working with structured datasets in an insurance context, for example, data associated with an in-force life or health insurance product.

Description: The barrier between humans and machines continues to blur, but curiously, this may have been prediction thousands of years ago in ancient myths. This article looks to how some of the early legends are becoming manifest in modern technology, particularly in the area of elder care. From automation, to humanoid assistants, to mind clones will the age of technology bring a new utopia?

Description: As the insurance industry continues to evolve due to a pandemic and rapidly changing economic and regulatory conditions, the role of data scientists and actuaries has become increasingly important. In an interview with the Atidot data science and actuarial team, we discuss what it is like to work at an InsurTech, how data scientists and actuaries can collaborate, and look at some concrete technical examples of where the innovation is having an impact. This article explores what collaboration can look like and how the role of data science and actuary may evolve in the InsurTech industry in the future.

Description: We all know how important data is, right? But the most challenging question we face is how we transform raw data into meaningful insights to help make better business decisions. How should we communicate this vast amount of data into digestible pieces that enable end users to perform on-demand analytics and become self-sufficient? This is where data visualization tools stand out. The field of data visualization combines both art and [data] science. While data visualizations can be creative and pleasing to the eyes, they can also be highly functional in uncovering a point of view or unlocking insights unseen before. Dive into Power BI, Streamlit, and Tableau, and work through an actual business use case utilizing these tools. Find out more about data gathering and connections, processing, and analysis leading up to an interactive dashboard. At the end of the session, you will be able to: - Understand general data issues and how to clean and transform raw data for visualizations. - Differentiate between many visualization tools, and analyze pros and cons to determine the right toolkit for the use-case on hand - Learn practical tips on how to use visualization tools to build meaningful visualizations and dashboards. - Interpret results and patterns from the visualizations and make impactful business decisions.

Description: This webinar is a panel discussion covering the technology behind blockchain and digital assets as well their uses, implications and risks. Investment considerations for both tokens and fund structures, along with a variety of other topics in the space will be addressed.

Description: Blockchain and cryptography have seen significant adoption around the world, and while still in early stages, it has started to make an impact in a few industries such as finance, gaming, and metaverses. There are now organizations providing insurance services on blockchain. Although this is limited to protection against financial losses in markets, the sheer adoption has sparked interest for other insurance use cases and some startups have already started experimenting in the spaceThe presenters will first introduce basic concepts of the blockchain supported by a demo, while explaining how cryptography and distributed ledger technology (DLT) is used to make it work. We will further introduce consensus mechanisms so that participants understand how decentralized blockchains are governed without a centralized party. The session will then shift focus to the broader market and different uses of blockchain focusing on the insurance space, covering both the current and potential future use cases. By attending the session, you will: - Understand the basics of how blockchain and cryptography work, - Have a better understanding of the broad categories of the crypto market answering the question, 'why are there 10,000 crypto currencies and how do I navigate these?' - Understand how blockchain plays a role in insurance and why insurance is important to the blockchain ecosystem.

Description: Over the last decade, reinsurance companies have built robust enterprise risk management (ERM)frameworks, but how equipped are they to evaluate the risks and rewards around InsurTechs? How well does the drive for 'test and learn' and agility fit within most reinsurance companies' current risk appetite and business acceptance processes? Discuss considerations when evaluating the suitability of current risk frameworks for innovation, including risk appetites, guidance, and monitoring/communication of risks. In addition, panel experts will offer insight into how actuaries and risk managers can be seen as a valued partner, not just a gatekeeper, in these venturesby providing constructive feedback and maintaining the right skills and expertise in these emerging technologies. By attending the session, you will: Be able to assess ERM frameworks, specifically a framework's ability to manage and monitor innovation as well as better support the strategic decision-making for InsurTech partnerships and ventures.