MLOps, or Machine Learning Operations, is a set of practices that combines machine learning and DevOps to automate the lifecycle of machine learning models. It is important because it helps ensure consistent deployment, monitoring, and management of models, enabling organizations to deliver value from their machine learning efforts reliably.