Machine learning operations

Machine learning operations (MLOps) is a set of practices, tools, and processes that streamline the development, deployment, monitoring, and maintenance of machine learning models in production environments. It bridges the gap between data science and information technology (IT) operations, enabling scalable, reliable, and repeatable artificial intelligence (AI) workflows. MLOps covers the entire model life cycle – from data preparation and model training to testing, versioning, deployment, and performance monitoring. It ensures continuous integration and delivery of models; facilitates collaboration between teams; and supports governance, compliance and model retraining – helping organizations achieve faster, more reliable and sustainable AI outcomes.