Practitioners guide to MLOps: A framework for continuous ...
ML models are built and deployed in production using curated data that is usually created by the data engineering team. The models do not operate in silos; they are components of, and support, a large range of application systems, such as business intelligence systems, line of business applications, process control systems, and embedded sys-tems.
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