Speakers

How can we make sure that Data Scientist and Machine Learning engineers can release and manage their models in production in an effective way?   Do we need superheroes that are up-to-date with the latest Deep Learning papers released by Facebook, that can test and evaluate different models, but that as well they can take care to set-up an Airflow DAG for data preprocessing or maintain a Kubernetes Cluster that serves models to their organization? We will show you how 1&1 is working to support Data Scientists to keep control of their Machine Learning projects in production but reducing complexity using the Cloud Read More...