Data and AI Learning Group

  • 1.  Data Science Model Risk Management

    Posted Tue July 14, 2020 02:47 PM
    Edited by Jess Leitsch Thu July 23, 2020 01:37 PM
    Despite enormous interest and investment in Machine Learning and AI, many organizations struggle to get their models into production where they can most improve mission critical processes and business functions. One area of challenge, particularly for regularly for regulated industries, is in validating and approving models.

    Existing processes for model risk management, developed for use in validating deterministic models, cannot be easily applied and may have gaps when used with ML/AI models. As AI usage expands, these become more and more of a bottleneck in rolling out solutions.

    In this webcast, Alex will discuss the particular challenges in validating and managing the risk associated with AI/ML models and how these can be addressed using IBM Data Science Model Risk management together with IBM Openpages Model Risk Governance to speed the deployment of AI into productive use.

    The on demand recording of Data Science Model Risk Management is available to watch here and please share any of your questions below. 


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    JORGE CASTANON
    Chat with labs webinar series: https://ibm.co/Chat-With-The-Lab-Webinar
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  • 2.  RE: Data Science Model Risk Management

    Posted Thu July 23, 2020 01:42 PM
    Hello, 
    Thank you for those who could attend my webinar. You can watch the full recording and demo here. The slides can be found here and please post any of your questions below! 


    Thanks, 


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    Alexander Jones
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  • 3.  RE: Data Science Model Risk Management

    Posted Fri July 16, 2021 12:50 PM
    Thank you!

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    Nick Generator
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