DataRobot Named a Leader in the 2024 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms

DataRobot

DataRobot, the enterprise AI platform, announced it was named a Leader in the Gartner Magic Quadrant for Data Science and Machine Learning (DSML) Platforms. 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).

“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.

Also Read: Datadog Launches Cloud and Application Security Capabilities Covering Development and Production Environments

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.

SOURCE: BusinessWire

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