What is MLops and Why Do You Need it?

Editor's note: Yinxi is a speaker for ODSC East 2022. Be sure to check out her talk alongside Sean Owen, "MLOps: Relieving Technical Debt in ML with MLflow, Delta and Databricks," to learn more about MLOps! The past decade has seen huge adoption of Machine Learning (ML) usage in all industries. The core of any ML solution is a set of data transformation and operation pipelines, which are executed to produce a model that maps input data to a prediction. Data scientists can implement and train an ML model on an offline dataset with a Jupyter Notebook or IDE on a local machine.