Analysis and prototyping happen in notebooks (Jupyter, Databricks, Hex). MLflow tracks experiments and holds the model registry. SageMaker (AWS), Vertex AI (Google), and Dataiku are end-to-end platforms. Feature stores define a feature once for training and production. The Data PM's questions: lineage, reproducibility, evaluation, monitoring, cost per correct prediction.