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To deliver business value through data-enabled differentiation, a data science platform has to be embraced by both data scientists and developers. It must enable these teams to efficiently develop, collaborate, govern, and deploy models at scale. And it has to meet IT’s requirements.

This guide will walk you through organizational readiness, differences between platform types, and key considerations to evaluate vendors in this space. We also include a detailed interactive checklist to help your team through the evaluation process.

Take our short survey and tell us about your data science platform challenges and the solutions you're evaluating to address them to download this guide for free!

Vendor:

Anaconda

Posted:

Feb 8, 2021

Published:

Oct 5, 2020

Format:

HTML

Type:

eBook