GARTNER REPORT:

PRACTICAL INSIGHTS FROM ACTIVE DATA SCIENCE TEAMS AND MATURE MACHINE LEARNING STRATEGISTS

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Data science and machine learning is becoming an increasingly integral part of business operations. However, many companies aren’t sure how to advance their DS and ML initiatives in the face of common challenges such as talent shortages or inadequate technology stacks.

This report from Gartner, “Practical Insights from Active Data Science Teams and Mature Machine Learning Strategists,” explores some of these challenges and recommends strategies to help businesses move forward.


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Data science and machine learning is becoming an increasingly integral part of business operations. However, many companies aren’t sure how to advance their DS and ML initiatives in the face of common challenges such as talent shortages or inadequate technology stacks.

This report from Gartner, “Practical Insights from Active Data Science Teams and Mature Machine Learning Strategists,” explores some of these challenges and recommends strategies to help businesses move forward.

Fill out the form to get started.

Gartner, Practical Insights From Active Data Science Teams and Mature Machine Learning Strategists, Peter Krensky, 9 October 2019.