In this session you will see how to take your machine model from development to production by watching the steps involved, which include: 1) Developing a ML model crafted via a Jupyter Notebook directly on top of Kubernetes/OpenShift; 2) Publishing that model as a service to be shared with your team or even the world; and 3) Monitoring the RESTful service via Grafana.
