Containers are all the rage in the DevOps arena.
This session is a live demonstration of how the data team at Milliman uses containers at each step in their data science workflow -
1) How do containerized environments speed up data scientists at the data exploration stage
2) How do containers enable rapid prototyping and validation at the modeling stage
3) How do we put containerized models on production
4) How do containers make it easy for data scientists to do DevOps
5) How do containers make it easy for data scientists to host a data science dashboard with continuous integration and continuous delivery