Applying Machine Learning to almost any problem is getting easier every day, but it requires a disciplined approach to evaluate a use case and build repeatable processes to scale these techniques beyond a single use case. In this article we will discuss an approach on how to evaluate use cases faster and build this repeatable process. Operationalizing machine learning projects require continuous experimentation and multiple components, for this article we will focus on aspects to accelerate ML lifecycle for Industrial IoT projects.No-risk testing, You can test changes to products/systems with no risk of permanent damage.