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Datmo

Production-Ready AI for Everyone

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  • Datmo and One Concern Join Forces

    Datmo and One Concern Join Forces

    Almost four years ago — in the halls of the Gates building at Stanford — co-founders Anand and Shabaz started discussing their vision to…
    Go to the profile of Team Datmo
    Team Datmo
    Dec 17, 2019
    Setting up your Data Science and AI dev environment in 5 minutes

    Setting up your Data Science and AI dev environment in 5 minutes

    Whether you’re a novice data science enthusiast setting up TensorFlow for the first time, or a seasoned AI engineer working with terabytes…
    Go to the profile of Shabaz Patel
    Shabaz Patel
    Jan 31, 2019
    Datmo partners with leading Indian fintech company Ezetap

    Datmo partners with leading Indian fintech company Ezetap

    Datmo is pleased to announce the success of a strategic partnership with Ezetap, one of the largest Indian payments processing companies…
    Go to the profile of Anand Sampat
    Anand Sampat
    Jan 31, 2019
    Pushing the needle forward for AI deployments

    Pushing the needle forward for AI deployments

    At Datmo, we spend a lot of time working to build a better product for customers deploying AI to production, and part of that is ensuring…
    Go to the profile of Anand Sampat
    Anand Sampat
    Jan 31, 2019
    Deploying a machine learning model as an API with Datmo, Falcon, Gunicorn, and Python

    Deploying a machine learning model as an API with Datmo, Falcon, Gunicorn, and Python

    How Datmo helps you wrangle the zoo of programming animals to create an easy-to-deploy machine learning API with an adaptable architecture.
    Go to the profile of Nicholas Walsh
    Nicholas Walsh
    Dec 7, 2017
    Announcing the Datmo Applied AI/Machine Learning Fellowship

    Announcing the Datmo Applied AI/Machine Learning Fellowship

    Applications are now open for the first class of our new 6-week, projected oriented mentorship program.
    Go to the profile of Nicholas Walsh
    Nicholas Walsh
    Nov 1, 2017
    Demystifying the ML, AI, and Data Science development ecosystem (Part 1: Build)

    Demystifying the ML, AI, and Data Science development ecosystem (Part 1: Build)

    This blog post is part 1 of a 3 part series explaining the landscape of what we call the quantitative oriented developer (QoD) pipeline…
    Go to the profile of Nicholas Walsh
    Nicholas Walsh
    Oct 27, 2017
    Learning Data Science? You may already know the basics.

    Learning Data Science? You may already know the basics.

    There are countless people trying to get into data science lately, but many are intimidated by the idea of learning a new workflow. In just…
    Go to the profile of Anand Sampat
    Anand Sampat
    Sep 15, 2017
    Overview: Deployment of Quantitative Workflows to Production

    Overview: Deployment of Quantitative Workflows to Production

    Building and deploying machine learning models for enterprise use cases can be time consuming, tricky, and even political within an…
    Go to the profile of Anand Sampat
    Anand Sampat
    Jun 4, 2017
    Overview: Collaboration in Quantitative Workflows

    Overview: Collaboration in Quantitative Workflows

    The other day two of our engineers, we’ll call them Alex and Ignacio, were trying to improve the accuracy of a facial recognition model…
    Go to the profile of Anand Sampat
    Anand Sampat
    May 17, 2017
    Overview: Tracking and Reproducibility in Quantitative Workflows

    Overview: Tracking and Reproducibility in Quantitative Workflows

    Documenting your work is necessary, but boring, regardless of the type of work you do. While tracking and reproducing work for most generic…
    Go to the profile of Anand Sampat
    Anand Sampat
    May 5, 2017
    Quantitative Workflows: A New Paradigm for Everyone

    Quantitative Workflows: A New Paradigm for Everyone

    Topics like machine learning, artificial intelligence and data science have been talked about at length over the last few years. But these…
    Go to the profile of Anand Sampat
    Anand Sampat
    Apr 18, 2017
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