What is MLOps?

Answer

MLOps is a set of practices for reliably building, deploying, monitoring, and maintaining machine learning systems in production, applying DevOps principles to the ML lifecycle. It covers data and model versioning, automated training and evaluation pipelines, deployment, and ongoing monitoring for drift and performance decay. The goal is reproducible, auditable models that can be retrained and rolled out safely as data and requirements change.