A Gentle Guide to the complexities of model deployment, and integrating with the enterprise application and data pipeline. What the Data Scientist, Data Engineer, ML Engineer, and ML Ops do, in Plain English. — Let’s say we’ve identified a high-impact business problem at our company, built an ML (machine learning) model to tackle it, trained it, and are happy with the prediction results. This was a hard problem to crack that required much research and experimentation. …