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: To complement the limitations posed by the static nature of current survey papers in cyber risk literature and to facilitate cyber risk research, this project features a Natural Language Processing (NLP)-powered repository and search tool “CyLit” built by the authors.

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: 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

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: 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.