For the seventh consecutive year, SAS is positioned as a Leader.
This Gartner Magic Quadrant report evaluates vendors of data science and machine learning (ML) platforms. These are software products that enable expert data scientists, citizen data scientists and application developers to create, deploy and manage their own advanced analytic models. SAS’ evaluation is based on SAS Visual Data Mining and Machine Learning.
SAS Visual Data Mining and Machine Learning provides automated insights and interpretability, automated feature engineering and modeling, and a public API for automated modeling.
“Automated machine learning improves the productivity of data scientists by handling much of the repetitive tasks associated with model development,“ said Susan Kahler, Global Product Marketing Manager for AI at SAS. “This frees up data scientists to focus on creating solutions to best address the problem at hand.”
SAS Visual Data Mining and Machine Learning, which runs on SAS® Viya®, supports the end-to-end data mining and machine learning process with a comprehensive visual and programming interface. SAS empowers analytics team members of all skill levels with a simple, powerful and automated way to handle all tasks in the analytics life cycle.
As with last year’s Magic Quadrant, vendors are heavily focused on innovation and differentiation, rather than pure execution. Innovation remains key to survival and relevance.
*This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from SAS. 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, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
**Gartner Magic Quadrant for Data Science & Machine Learning by Peter Krensky, Pieter den Hamer, Erick Brethenoux, Jim Hare, Carlie Idoine, Alexander Linden, Svetlana Sicular, Farhan Choudhary, 11 February 2020.
SAS was recognized as a Leader in Magic Quadrant for Advanced Analytics Platforms 2014 - 2016, Leader in Magic Quadrant for Data Science Platforms 2017, and Leader in Magic Quadrant for Data Science and Machine Learning Platforms 2018 - 2020.
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