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According to a Gartner Data Science Survey conducted at the end of 2017, effective data science teams use portfolio management techniques and significant numbers of KPIs to plan for data science projects. In this latest research, uncover the findings and lessons Gartner learned from hundreds of data science survey inquiries and explore best practices in deploying, launching, and running machine learning projects, understand how machine learning technologies are different from traditional software engineering approaches, and discover key improvements to the data science capabilities of an organization.

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