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    How Buzzfeed Uses Real-Time Machine Learning to Choose Their Viral Content

    October 28, 2016   1 min read

    This talk took place at the Domino Data Science Pop-up in Los Angeles, CA on September 14, 2016.

    In this presentation, Jane Kelly, Director of Data Products at Buzzfeed, talks about how the popular online media company uses real-time machine learning to inform what content to promote, before it goes viral.

    Listen in to learn about the innovative platform Buzzfeed has developed to:

    • Capture data and feed it to a centralized hub for real-time analysis;
    • Support collaboration between engineers, data scientists and content creators;
    • Select the right features to identify posts that should be translated into other languages;
    • Balance rapid experimentation with product stability, and effectively publish their data to different consumers internally.

    Slides for Jane’s presentation can be found here.

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