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Databricks, MLeap, and Kubernetes

Databricks, MLeap, and Kubernetes

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How We Used Databricks, MLeap, and Kubernetes to Productionize Spark ML Faster with Edward Kent This talk will describe how we launched our new “Days to Sell” ML-powered metric, using Databricks notebooks to experiment with and tune our model, MLeap to serve out predictions in real time, and Kubernetes to automate the deployment of new models. We will show how we went from model experimentation and design, right through to deploying our model to a production environment. We will also share our thoughts on how we expect this approach to evolve in the future, including how we expect to integrate with MLflow.
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