Description: The key tasks of credit risk capital project under CROSS II mainly focus onL(1 )Adjustment of measurement framework; (2) Calibration of risk factors, including both credit spread risk and credit default risk;3)Introduction of concentration risk measurement; (4) Higher requirement on look-through rule.

Description: Exploring how artificial intelligence can enable insurance to expand into new places with new insights.

Description: 1999 SOA Regional Meeting, Atlanta. In this session on data and interoperability standards for actuaries, the panel discusses the importance of open data standards which enable communication and transmission of data between different systems developed by different vendors. They also discuss the attached white paper entitled 'Proposed Data Standards for Table Data in the Insurance and Pension Industries' which was written by the Computer Science Section of the SOA to encourage adoption of the described standard.

Description: 1999 SOA Annual Meeting, San Francisco. Presenters discussed ways in which nontraditional methods of distributing insurance products are continuing to evolve and offered their views on where that evolution may lead for the industry.

Description: This article explores the disruptive applications of blockchain, an emerging technology, and its impact on the pharmacy benefit space, and pharmacy benefit managers (PBM).

Description: How do we take a Minimum Viable Products (MVP) approach to launch new insurance products? Join this moderated discussion and focus on three key development aspects: Distribution, Systems, and the design and pricing of the Insurance product itself. Come discuss reasons to choose an MVP approach and how it solves many of the product launch challenges.

Description: Welcome to the future of insurance, for actuaries and non-actuaries! Discover how cutting-edge AI models are revolutionizing underwriting, risk assessment, and customer experience for the insurance industry. Experts in management consulting and actuarial consulting firms will provide valuable insights into the consideration and challenges surrounding the adoption of Generative AI.

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: 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.