10 steps to data science operationalization: Finding common ground

Data Science Operationalization

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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.

Vendor:
Dataiku
Posted:
20 Sep 2019
Published:
20 Sep 2019
Format:
PDF
Type:
White Paper
Language:
English
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