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Governing generative AI models just got a whole lot easier with watsonx.governance Webinar

  • 1.  Governing generative AI models just got a whole lot easier with watsonx.governance Webinar

    Posted Tue February 13, 2024 12:07 PM
    Edited by Portia Melita Thu February 22, 2024 10:01 AM

    Summary

    Generative AI (gen AI) models are driving new risks and complexities, prompting organizations to proactively consider how to detect and mitigate risks while better preparing for the growing and changing regulations and industry standards. In this session you will learn about recently introduced capabilities in watsonx.governance to govern gen AI models built in watsonx.ai or from 3rd party platforms including Amazon Bedrock, Microsoft Azure and OpenAI. See watsonx.governance, one integrated platform for governing both generative AI and machine learning models in action.  

    Please join us on 12 March 2024, 11:00 AM ET. Please share any questions by clicking on the Reply button. If you have not done so already, register here and download it to your calendar.


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    Upasana Bhattacharya
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  • 2.  RE: Governing generative AI models just got a whole lot easier with watsonx.governance Webinar

    Posted Tue March 12, 2024 12:49 PM

    Hi, 
    Thank you for the detailed presentation on the watsonx.governance capabilities. Please can you elaborate more on the risk mitigators and what kind of data risks are being detected. 



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    SHUBHI ASTHANA
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  • 3.  RE: Governing generative AI models just got a whole lot easier with watsonx.governance Webinar

    Posted Tue March 12, 2024 12:49 PM

    Hi everyone,

    You can watch the on-demand recording here and download the slides here.

    Please share any of your questions below.



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    Upasana Bhattacharya
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  • 4.  RE: Governing generative AI models just got a whole lot easier with watsonx.governance Webinar

    Posted Wed March 13, 2024 08:32 AM

    Hello,

    Could you elaborate on how regulations are included in the watsonx.governance product?

    Thanks! 



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    Haoyu Wang
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