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"More than half of successful artificial intelligence pilots never make it to the deployment stage; thus, data and analytics leaders struggle to capture value from AI investments.
"Data and analytics leaders must evaluate emerging vendors to build enterprise-grade AI platforms or solutions."
"Building a data foundation that enables data and analytics leaders to unify existing data foundations and integrate new ones is at the core of any successful artificial intelligence (AI) strategy."
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GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. 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 the Gartner Research & Advisory 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.
Source: Gartner, Cool Vendors in Enterprise AI Operationalization and Engineering, Erick Brethenoux, Robert Thanaraj, Farhan Choudhary, Arun Chandrasekaran, Georgia O'Callaghan, Soyeb Barot, Chirag Dekate.
