Published May 5, 2022

E33: Evidently AI and Open Source Machine Learning Monitoring

Explore how Evidently AI leverages open source tools to revolutionize machine learning monitoring, with insights from co-founder Elena Samuylova on community-building and integrating user feedback, influenced by their Y Combinator experience and vibrant online community.
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  • Discord Strategy

    Evidently AI has strategically chosen Discord over Slack for community building, recognizing its ability to retain history and cater to a growing audience. highlights the importance of genuine engagement and creating a learning environment, which she believes is more visible on Discord than on Slack 1. The company invests heavily in content creation, including tutorials and documentation, to attract early adopters and foster community interaction 2.

    We are now working to create some more content, some events in our community which are not directly related to, evidently more about just general best practices, machine learning operations and so on.

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    This approach not only helps in building a robust community but also serves as a flywheel for Evidently AI's growth.

       

    Feedback Integration

    Community feedback plays a pivotal role in Evidently AI's development process. Elena explains that user interactions, such as emails and issue reports, provide valuable insights into the needs and challenges faced by their community 3. This feedback loop allows the team to refine their product and prioritize features that resonate with users.

    We started first with more general outreach, then we started to work more closely with individual users.

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    By engaging deeply with their community, Evidently AI can continuously improve its offerings and maintain a user-centric approach.

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