SAS a Leader in 2020 Gartner Magic Quadrant for Data Science and Machine Learning Platforms

Gartner has recognised SAS as a Leader in its 2020 Magic Quadrant for Data Science and Machine Learning Platforms. The report evaluated SAS for its completeness of vision and ability to execute. This is the seventh consecutive year for SAS to be recognised as a Leader in this Magic Quadrant.

“Businesses are swiftly implementing artificial intelligence and, more specifically, machine learning to assess risk and make profitable decisions,” said Laurie Miles, Director of Analytics at SAS UK & Ireland. “Using SAS machine learning and artificial intelligence solutions, organisations can tackle complex analytical problems efficiently to generate meaningful results. The technology, encompassing the end-to-end process, allows them to transform raw data into insights and ultimately make faster, better decisions.” From reducing patient risk of hospital-acquired infections to making roads safer, SAS is helping to transform lives in big and small ways.

SAS® Visual Data Mining and Machine Learning, running on the SAS® Viya® engine, supports the full data mining and machine learning processes for team members of all skill levels to handle all tasks in the analytics life cycle.

Want to see more about what SAS can do? Watch the SAS Visual Data Mining and Machine Learning demo on YouTube.

Gartner, Magic Quadrant for Data Science and Machine Learning Platforms, Peter Krensky, Pieter den Hamer, Erick Brethenoux, Jim Hare, Carlie Idoine, Alexander Linden, Svetlana Sicular, Farhan Choudhary, 11 February 2019. The report was previously titled Magic Quadrant for Data Science Platforms and Magic Quadrant for Advanced Analytics Platforms.

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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 organisation 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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