Announcement: SOA releases May 2025 SRM Exam passing candidate numbers. 

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  • 2023-impact-virt-session-general

    Elatia Abate, the founder of the Future of Now and Futurist in Residence at Paylocity, is an entrepreneur whose mission is to revolutionize the way trailblazing leaders understand, train and fuel ...

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    • Authors: Society of Actuaries
    • Date: May 2024
  • 2023-impact-session-7b

    Join mental health experts (e.g., providers, academics) as they engage in an interview-style conversation designed to inform you about the current state of mental health in the U.S. and potential ...

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    • Authors: Society of Actuaries
    • Date: Jun 2024
    • Topics: Health & Disability
  • Group Life COVID-19 Mortality Survey Report Series

    Group Life COVID-19 Mortality Survey Report Series The Group Life COVID-19 Mortality Survey Report Series gathers a high-level view of U.S. group term life insurance mortality experience since ...

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    • Date: Apr 2024
  • 2023-impact-session-3l

    SOA education is continually evolving to meet the current and future needs of candidates, members, employers, and the public. Learn from presenters as they review recent changes, in particular ...

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    • Authors: Society of Actuaries
    • Date: Jun 2024
    • Topics: Actuarial Profession
  • 2023-impact-session-4b

    Join in and learn to describe the changes in provider contracting that are emerging in the post-COVID marketplace. Examples include: - Carrier transparency files - Increase sophistication of ...

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    • Authors: Society of Actuaries
    • Date: Jun 2024
    • Topics: Experience Studies & Data; Health & Disability; Modeling & Statistical Methods
  • 2023-impact-session-5b

    Insurers are now in a better position than ever to both understand and enhance their customers' health and well-being. A key avenue for this is through developing health and wellness offerings ...

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    • Authors: Society of Actuaries
    • Date: Jun 2024
    • Topics: Experience Studies & Data; Life Insurance; FinTech & InsurTech
  • Using Interpretable Machine Learning Methods: An Application to Health Insurance Fraud Detection

    Using Interpretable Machine Learning Methods: An Application to Health Insurance Fraud Detection Learn more about interpretable machine learning techniques for health insurance fraud detection.

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    • Date: Jan 2024
    • Competency: External Forces & Industry Knowledge
    • Topics: Health & Disability; Health & Disability>Health insurance; Technology & Applications; Technology & Applications>Artificial intelligence & machine learning
  • 2023-health-meeting-session-4c

    Explore cutting-edge advancements in virtual care, including remote patient monitoring and care delivery in the metaverse, which build on the foundation that pandemic-era telehealth built. Gain a ...

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    • Authors: Society of Actuaries
    • Date: Jan 2024
    • Competency: External Forces & Industry Knowledge
    • Topics: Economics; Public Policy; Technology & Applications
  • 2023-health-meeting-session-6f

    Hear an overview of recent results and potential scenarios that may impact the future of the ACA market. Review recent reported industry level profitability before transitioning to a discussion ...

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    • Authors: Society of Actuaries
    • Date: Jan 2024
    • Competency: External Forces & Industry Knowledge
    • Topics: Health & Disability; Public Policy
  • informal-caregiving

    Explore the findings from the research paper recently released by Milliman and the SOA, highlighting the growing need for support of informal/family caregivers. We will discuss both quantitative ...

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    • Authors: Christin Kuretich, Matthew Smith
    • Date: Feb 2024
    • Competency: External Forces & Industry Knowledge; Professional Values; Strategic Insight and Integration
    • Topics: Actuarial Profession; Health & Disability; Life Insurance; Long-term Care; Public Policy; Social Insurance