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#mlplatforms — Public Fediverse posts

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  1. Having #DataScientists Build Infrastructure & Developing Models At The Same Time Is A Terrible Anti-Pattern We’re Addicted To.

    Esp at comps that aren’t early stage -- correlated w/ a lack of technical DS leadership, poor infra design, and lack of organizational alignment.

    Really shows how the difference between success & failure isn’t technology choices but good project management & strategic leadership around platforms.

    #mlops #mlengineering #mlplatforms #datascience

  2. Having #DataScientists Build Infrastructure & Developing Models At The Same Time Is A Terrible Anti-Pattern We’re Addicted To.

    Esp at comps that aren’t early stage -- correlated w/ a lack of technical DS leadership, poor infra design, and lack of organizational alignment.

    Really shows how the difference between success & failure isn’t technology choices but good project management & strategic leadership around platforms.

    #mlops #mlengineering #mlplatforms #datascience

  3. Implementing #mlops #MLplatforms:

    🪄 Teh Fantasy
    - Lots of greenfield infa projects
    - Training DL models from scratch
    - Doing data & ML infra or data not problem

    🥱💤The (Boring) Reality
    - Adapting or updating existing services & tools
    - Integrating with #legacycode enterprise tools
    - Early-stage startups buildng MLproducts off-the-ground using existing product stack w/o separate platform

  4. Implementing #mlops #MLplatforms:

    🪄 Teh Fantasy
    - Lots of greenfield infa projects
    - Training DL models from scratch
    - Doing data & ML infra or data not problem

    🥱💤The (Boring) Reality
    - Adapting or updating existing services & tools
    - Integrating with #legacycode enterprise tools
    - Early-stage startups buildng MLproducts off-the-ground using existing product stack w/o separate platform

  5. Who Am I:
    👉🏻 Head of #mlops & solutions at #featureform , a #virtualfeaturestore

    What I Do:
    ⭐️ Develop #MLplatforms & #MLOpssystems that work, no matter the business or technology constraints;
    ⭐️ Contribute to the #opensource MLOps ecosystem & continue to drive innovation (as well as #GCP , #AWS , #Azure);
    ⭐️ Create high-quality & thoughtful content that helps everyone in #productionML become more productive, collaborative, & happier.

    I also talk about:
    #dataengineer #datascience #career

  6. Who Am I:
    👉🏻 Head of #mlops & solutions at #featureform , a #virtualfeaturestore

    What I Do:
    ⭐️ Develop #MLplatforms & #MLOpssystems that work, no matter the business or technology constraints;
    ⭐️ Contribute to the #opensource MLOps ecosystem & continue to drive innovation (as well as #GCP , #AWS , #Azure);
    ⭐️ Create high-quality & thoughtful content that helps everyone in #productionML become more productive, collaborative, & happier.

    I also talk about:
    #dataengineer #datascience #career