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AI and the Future of Actuarial Work: Shaping the Future of Insurance and Actuarial Science
In this final episode of a 3-part series, Joe Alaimo, CEO of ProComp, is joined by Deloitte AIS team members Andrew McLeod and Harrison Jones to delve further into the world of Artificial Intelligence, with a specific focus on ReportGen.AI. -
Comparison of Risk Adjustment Programs—California Medicaid Managed Care Versus CMS Medicare Advantage, PART I
Risk Adjustment (RA) is a key component for CMS Medicare Advantage program and California Medicaid Managed Care program. While both RA programs follow generally accepted basic principles, their underlying methodologies and assumptions are quite different. Recent events, such as COVID-19 Public Health Emergency and Medicaid redetermination delay and restart, have added complexity to Risk Adjustment. This is a hot topic in the industry and has significant impact to health plans. Keeping current with Risk Adjustment program changes and understanding the commonalities and differences of these two government Risk Adjustment programs is important to our health actuaries. This article compares and contrasts these two risk adjustment programs’ methodology and assumptions as well as special considerations due to serving different populations. -
Reimagining Actuarial Reporting with AI: Introducing ReportGen.AI (Part 2 of 3)
In this second episode of a 3-part series, Joe Alaimo, CEO of ProComp, is joined by Deloitte AIS team members Andrew McLeod and Harrison Jones to delve further into the world of Artificial Intelligence, with a specific focus on ReportGen.AI. -
Emerging Topics Community Update
The article contains a description of the Emerging Topics Community. The focus of the article is what is a community, what makes the Emerging Topics Community special, and benefits of the Community. Included after the discussion on the community are ways to get involved and be a part of the community. -
Unveiling AI and GPT-4: Actuarial Impacts and Insights (Part 1 of 3)
In this first episode of a 3-part series, Joe Alaimo, CEO of ProComp, is joined by Deloitte AIS team members Andrew McLeod and Harrison Jones to delve into the world of Artificial Intelligence, with a specific focus on OpenAI's GPT-4. Together, they demystify the concepts of generative AI, large language models (LLMs), and explore how GPT-4 stands out from its predecessors. -
Emerging Topics Community: Community Update
Learn about the SOA's emerging topics community. -
Factorization Machines for High Cardinality Features (Part 4 of 4)
This is the fourth in a 4-part series where Anders Larson and Shea Parkes discuss predictive analytics with high cardinality features. In the prior episodes we focused on approaches to handling individual high cardinality features, but these methods did not explicitly address feature interactions. Factorization Machines can responsibly estimate all pairwise interactions, even when multiple high cardinality features are included. With a healthy selection of high cardinality features, a well tuned Factorization Machine can produce results that are more accurate than any other learning algorithm. -
The Hashing Trick for High Cardinality Features (Part 3 of 4)
This is the third in a 4-part series where Anders Larson and Shea Parkes discuss predictive analytics with high cardinality features. In this episode they focus on feature engineering via the hashing trick. The hashing trick is most applicable for extremely high cardinality, and at first glance can seem almost ridiculous. In a lot of ways, it is the same as bucketing values at random. But there are times that it is more valuable to include randomly engineered buckets than to exclude the original high cardinality feature entirely. -
Abandon the Spreadsheet and Go Digital
Lin Fangcheng argues that it is easy to digitalize by setting up new departments, but the real battle is to digitalize the incumbent departments that are predominantly spreadsheet-users. In order to reap the full potential of digitalization, we must abandon the spreadsheet and go digital. He discusses the reasons why the spreadsheet, hindered by its inherent design, has become a bottleneck for higher efficiency, and how to adopt low-code digital technology in a “together” mode. He further demonstrates that digitalization lays a solid foundation for artificial intelligence. -
Predictive Analytics Hack-a-Thon 2022
Describes the Predictive Analytics Hack-a-Thon held in 2022 and its outcomes.
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