The deployment or placement of a machine learning model to provide inferences on real-world data in real-world environments. Models can be operationalized in a variety of locations and settings and modes from batch mode to real-time, in streaming or hot path analytics, on edge devices, in the cloud, on-premise, on a desktop, or a number of other places wherever the model is required to operate and provide inferences on real-world data.
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