Automating Production Production Level Machine Learning on AWS

Machine Learning (ML) has revolutionized how we've solved business problems over the last decade. The ability to collect and store limitless data, coupled with advancements in computing and networking, has led to the use of Machine Learning in many business verticals. But putting ML into production is challenging. We will talk about how we can solve this issue. What we'll cover:
The gap between the Data Scientists and ML Operations
Why ML Ops is not DevOps
Architecture patterns necessary for elements of effective ML Ops
How a "model factory" architecture holistically addresses CI/CD for ML
Model Factory Demo that will explore:
*Quick feedback and traceability for model development
*ML framework agnostic tooling for packaging of models
*Platform agnostic continuous/rolling deployment