MLOps machine‑learning operations provides a systematic approach to managing the lifecycle of machine‑learning models. According to an Ubuntu article, MLOps focuses on collaboration among developers, data scientists and operations teams, standardizing data preparation, model development, deployment and monitoring. Implementing MLOps produces better code quality, faster model updates, and AI outputs that can be consistently validated and audited.