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  • 2023-life-meeting-session-3h

    Data science is being used to create more algorithms used across a variety of applications, including underwriting and pricing. As data science gains traction, it is imperative that we as ...

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    • Authors: Society of Actuaries
    • Date: Feb 2024
    • Topics: Predictive Analytics; Public Policy
  • 2023-health-virtual-s05b

    "Explore a general introduction to the opportunity of applying a relatively newer area in machine learning called uplift modeling, which has been successfully used in retail (Wayfair etc).

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    • Date: Jan 2024
    • Competency: Results-Oriented Solutions
    • Topics: Modeling & Statistical Methods; Predictive Analytics
  • 2023-act-non-trad-role

    Explore insights to non-traditional actuarial roles from a panelist with experiences in data science, finance and entertainment. The panelist will be sharing their perspectives on their ...

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    • Authors: Nathan Dennis Pohle, Kevin Xiao
    • Date: Nov 2023
    • Competency: Communication; External Forces & Industry Knowledge; Relationship Management
    • Topics: Actuarial Profession; Experience Studies & Data; Finance & Investments; Predictive Analytics
  • ethics-bias-considerations

    In this video Jing Lang emphasizes the importance of ethical considerations in AI utilization, particularly focusing on privacy, bias, transparency, and creativity. It highlights the need for ...

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    • Authors: Society of Actuaries
    • Date: Oct 2024
    • Topics: Predictive Analytics>Modeling techniques; Predictive Analytics>Programming languages & tools
  • 2024-valact-welcome-session

    Dana M. Peterson, chief economist for the Conference Board, has established herself as a visionary, and the go to expert providing insightful analysis and predictions to corporations, ...

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    • Authors: Society of Actuaries
    • Date: Mar 2025
    • Competency: External Forces & Industry Knowledge
    • Topics: Economics; Global Perspectives; Predictive Analytics
  • social-science-of-bias

    This session will examine bias from a social science perspective. It will discuss the three types of systemic biases using the National Institute of Standards and Technology (NIST) model. The ...

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    • Date: Apr 2025
    • Competency: Communication; Professional Values; Results-Oriented Solutions; Strategic Insight and Integration; Technical Skills & Analytical Problem Solving
    • Topics: Actuarial Profession; General Insurance (Property & Casualty); Health & Disability; Life Insurance; Modeling & Statistical Methods; Predictive Analytics; Technology & Applications; FinTech & InsurTech
  • 2024-impact-session-6p

    The rapid evolution of life insurance underwriting has created pricing and operational challenges and raised new questions about established approaches to assumption development, both of which ...

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    • Authors: Society of Actuaries
    • Date: May 2025
    • Topics: Life Insurance; Predictive Analytics; Technology & Applications
  • Adapting Credibility Blended Rates to Encompass Machine Learning Predictions

    Adapting Credibility Blended Rates to Encompass Machine Learning Predictions Actuarial concepts of credibility can be extended to encompass additional information provided by new machine learning ...

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    • Date: Apr 2021
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Predictive Analytics and Futurism Newsletter
    • Topics: Predictive Analytics>Modeling techniques
  • 2024-impact-session-8c

    In this session, we will do a deep dive into the potential of large language models; we will explore how new AI tools can be combined with traditional modeling to automate aspects of risk ...

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    • Authors: Society of Actuaries
    • Date: May 2025
    • Topics: Modeling & Statistical Methods; Predictive Analytics; Technology & Applications
  • 2024-impact-virtual-session-5f

    How are regulation and innovation intertwined? How to regulate artificial intelligence/machine learning in the insurance industry? We will cover how regulators are striking the balance between ...

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    • Authors: Society of Actuaries
    • Date: May 2025
    • Topics: Actuarial Profession; Predictive Analytics; Public Policy