Answers Top Machine Learning FAQs from Clients
And how to get started with enterprise machine learning
Gartner receives hundreds of machine learning questions each week from clients in a variety of industries. This report contains their answers to the most common questions, including:
- How to differentiate between AI, ML, data science, and augmented analytics
- Why many enterprise data science initiatives fail
- How to evaluate ROI from AI investments
- Common technical pitfalls of machine learning implementation
Gartner, Machine Learning: FAQs From Clients, Shubhangi Vashisth, Alexander Linden, Rita Sallam, Svetlana Sicular, Carlie Idoine, Jim Hare, Peter Krensky, 17 June 2019. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
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