Artificial Intelligence and machine learning (AI/ML) requires active development into existing microservices. I will show you how easy it was to create a data science project with Red Hat OpenShift Data Science (RHODS), deploy our Smarta Byar Smart Village application into the same data science project, and benefit from both at the same time. See how we can run a python container's code from the OpenShift cluster in the browser, use the Smart Village application to send Kafka messages that are received by our Jupyter Notebook, and do live data science side by side. See the graphs and data tables change in the smart village application, as the data science notebook does the work.