Machine learning models help respond to the time-based value and risks of business events. To achieve this on an ongoing basis, enterprises should build a streaming ML program based on sound business objectives, a cross-functional team, open platforms, and phased execution.

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https://www.eckerson.com/articles/machine-learning-and-streaming-data-pipelines-part-iii-guiding-principles