OPTION 2 - MLOps Platforms: a comparative study between different tools

ML workflow tools enable data scientists to manage the entire ML lifecycle (data
preparation, model training, model deployment & performance monitoring).
In this session, we'll share our insights on a comparative study between different tools,
assessing on a number of dimensions. Tools we'll discuss, compare and evaluate are
Metaflow, Kedro, MLflow, Kubeflow & Azure Machine Learning.