MLOps (Machine Learning Operations) enables organizations to deploy, manage, monitor, and retrain machine learning models at scale. It differs from ModelOps by focusing specifically on ML, the largest operational gap in most organizations. MLOps drives business value by speeding up model deployment and improving performance monitoring, collaboration, and governance. Key capabilities include scalable deployment, continuous monitoring of performance and accuracy, and tools that support cross-team collaboration and compliance.

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