DataRobot received the highest ranking for Governance Use Case among all 18 vendors
DataRobot, the enterprise AI platform, today announced it was named a Leader in the Gartner Magic Quadrant for Data Science and Machine Learning (DSML) Platforms.1 The evaluation was based on specific criteria that analyzed the company’s overall completeness of vision and ability to execute. Of the 18 vendors evaluated in the report, DataRobot received the highest ranking for Governance Use Case (4.10/5).2
“DataRobot revolutionized machine learning with an enterprise-scale AI platform focused on helping organizations leverage AI in a way that is right for their business,” said Debanjan Saha, Chief Executive Officer, DataRobot. “We believe that our recognition as a Leader showcases the strength of our technology and continuous innovation. The DataRobot AI Platform and its governance capabilities are the definitive solution for the enterprise, and we’ll continue to deliver the cutting-edge capabilities our customers require to drive business impact.”
The DataRobot AI Platform is built for the modern enterprise, enabling AI teams to collaboratively build, deploy and govern enterprise-grade AI solutions safely and with confidence. As the leading AI platform, DataRobot unifies diverse tools, teams, and infrastructure. The platform is designed for flexibility and optionality, making it easy for organizations to leverage existing investments and deploy AI anywhere — from the edge to within applications.
A Gartner Magic Quadrant is a culmination of research in a specific market, giving you a wide-angle view of the relative positions of the market’s competitors. A Magic Quadrant provides a graphical competitive positioning of four types of technology providers, in markets where growth is high and provider differentiation is distinct: Leaders, Challengers, Visionaries and Niche Players. This research helps data and analytics leaders make critical decisions selecting a DSML platform vendor.
Additional Resources
To learn more about DataRobot’s recognition in the 2024 Gartner Magic Quadrant for DSML, please visit our website.
To learn more about the DataRobot AI Platform and its governance capabilities, please register for the webinar “Governance in the Era of AI” on July 23.
1Source: Gartner Magic Quadrant for Data Science and Machine Learning Platforms, Afraz Jaffri, Aura Popa, Peter Krensky, Jim Hare, Raghvender Bhati, Maryam Hassanlou, Tong Zhang, June 17, 2024.
2Source: Gartner Critical CapabilitiesTM for Data Science and Machine Learning Platforms, Machine Learning (ML) Engineering, Afraz Jaffri, Aura Popa, Peter Krensky, Jim Hare, Tong Zhang, Maryam Hassanlou, Raghvender Bhati, Published June 24, 2024.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are 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 Gartner 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.
Explore AITechPark for the latest advancements in AI, IOT, Cybersecurity, AITech News, and insightful updates from industry experts!
