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In data science, business value is primarily realized in the last legs of the project—during operationalization. Yet still, often there is a disconnect between the teams of model development and production, and too many cooks in the kitchen (especially without communication) is a common folly.
Read this white paper to find common ground between data science and IT teams for the benefit of your data and analytics projects as a whole and ensure consistent packaging and deployment of models.