The Data Science Lifecycle

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It's difficult for today's data science teams to respond fast enough to the demands of their business. With the explosion of data from multiple sources and formats, trying to develop models and putting them into production quickly is a huge challenge for many teams.

This guide provides an overview of the typical data science lifecycle, common challenges organizations encounter and how IBM® Watson Studio can address them—enabling your data science team to accelerate and optimize the value of analytics results throughout your organization.

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