Description: One common barrier to employing GLM modeling is the lack of sufficient data. This limitation often comes from the combination of the considerations in ASOP No. 25 “Credibility Procedures” and the fact that GLMs assign full credibility to the data. Explore the possibilities of credibility-based regression by expanding the intended purpose of modeling analysis from producing a single model as output to producing data insights, credible differences, and a range of reasonable models.

Description: Come gain insights into the techniques used in Machine Learning and its applications. You'll discover the key technological advances in recent years which were behind and ultimately facilitated the breakthroughs including ChatGPT/GenAI. It's time to uncover real-world use cases where AI models and their transformative impact on our lives.

Description: Data science, predictive analytics and AI are certainly the buzzwords these days. They are heavily used and developed in underwriting and marketing but for most actuaries, they might/may as well be science fiction. The presenters will demonstrate how a normal actuary can utilize data science techniques in their daily job function without forming an official data science team within a company. It can be done in a gradual fashion so that normal business is not disrupted and improvements are made over time. The usage of data science techniques will include demonstrations of the following areas: - Regression analysis - Economic scenario generator - Experience study - Data quality checks - Inforce compression for explicit hedging

Description: In the world of digital excitement, Blockchain is the newest kid on the technology block. Pull up any search engine, punch in “Blockchain” and find yourself inundated with articles praising improvements over current centralized network systems that many insurers use. But is this praise warranted, and does Blockchain truly cure all ails? In this article, we pose commonly asked questions as well as provide answers from the perspective of an insurance company.

Description: After International Accounting Standards Board (“IASB”) issued International Financial Reporting Standard No. 17 – Insurance Contracts (“IFRS 17”), IASB received much feedback and suggestions for improvement. As a result, in early 2019, IASB made limited changes to IFRS 17. The presentation will briefly discuss the main contents and effects of those changes.

Description: High level overview on how to implement a risk adjustment chart chase program.

Description: Blockchain and cryptography have seen significant adoption around the world. While still in early stages, it has started to make an impact in finance, gaming, and metaverses industries. Organizations have even began to provide insurance services on blockchain. Although insurance 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 space.

Description: Cluster modeling is emerging as a powerful technique to manage cloud costs and run time. It also enables quick responses to "what if" scenarios, and aids in attributing results between reporting cycles. In this webcast, we provide insight into cluster modeling, present case studies that focus on various key performance indicators and discuss the benefits and challenges to cluster modeling from an insurer’s perspective. We also discuss the considerations associated with moving from an on-prem based computing solution to a cloud-based approach.

Description: Actuarial Process Optimization (APO) is a technology-focused methodology for bringing together actuarial and technology teams to critically examine and optimize actuarial processes, specifically targeting processes that are most time consuming and have the highest risk of failure. From claims analytics to valuation and experience analysis, modern technology can help actuaries optimize their time and focus their attention on higher value tasks. In this session, we will explore opportunities for APO in the Health insurance industry and demonstrate how technology can be used to improve the actuarial process using an agile and targeted approach.