It is a collection of practices for communication and collaboration between operations professionals and data scientists. Applying these practices simplifies the management process, increases the quality, and automates the deployment of deep learning and machine learning models in large-scale production environments. It works with data developers, machine learning engineers, and DevOps to turn the algorithm into production systems once it’s ready. It aims to improve production models’ automation and quality while paying attention to business and regulatory requirements.