Pipeline is a system that helps to deploy machine learning models into production. It automates the process from data collection, feature preprocessing, model implementation, deployment, and monitoring. The pipeline helps to streamline the process, reduce manual labor, and ensure the consistency and accuracy of the model.
Drift is a platform for building, deploying, and monitoring machine learning models. It is designed to make it easier for developers to build, deploy, and manage models for real-time applications. Drift focuses on streamlining the process of model development and deployment by automating data collection, training, deployment, and monitoring. It also enables developers to deploy models in production in real time and leverage the power of cloud computing to run the model in a scalable manner.