Converging the data science world and the actual production world to deliver machine learning execution for high value insights is challenging enough, but we also want it to work in real time. The road from data capture, model development and deployment is often disjoint and therefore filled with barriers and delays – starting with having significant data for training models. Join this high energy morning kickoff to learn the pitfalls to avoid, the means to create a converged process and environment, and tips from the experts for operationalizing machine learning in event driven solution development and delivery.