Dataiku Named a Challenger in Gartner’s 2019 Magic Quadrant for Data Science and Machine-Learning Platforms
NEW YORK--(BUSINESS WIRE)--Jan 30, 2019--Dataiku, one of the world’s leading enterprise data science and machine learning platforms, was named a Challenger in the Gartner 2019 Magic Quadrant for Data Science and Machine-Learning Platforms. Dataiku credits its placement to its strong focus on collaborative, cross-team and cross-profile features as well as ease of use and ability to massively scale for the enterprise.
This marks the third consecutive year of Dataiku’s inclusion in the report and the first year in the Challengers quadrant.
Since its founding in 2013, Dataiku has focused on the vision of democratized data science. Over the past few years, the company has sharpened the vision by specifically focusing on bringing increased scalability and ability for companies to execute through operationalization.
“The ability for companies to effect with their use of data - transforming it into actual, measurable business outputs and insights - is quickly becoming a necessity for survival in today’s competitive business environment,” said Florian Douetteau, CEO of Dataiku. “We’re proud to be a growing force in the industry that is out there on the front-line helping businesses not just survive, but thrive in the Enterprise AI era. In 2019 and in the years to come, we will continue to provide innovative new features as well as strengthen existing capabilities to provide even more scalability and depth.”
More than 200 companies use Dataiku on a daily basis to enable their teams to build, deploy, and monitor predictive data flows to solve industry-wide problems like fraud, churn, supply chain optimization, predictive maintenance, and much more. In December 2018, Dataiku announced its $101 million Series C round to transform and democratize Enterprise AI globally.
Gartner, Magic Quadrant for Data Science and Machine-Learning Platforms, Carlie Idoine, Peter Krensky, Erick Brethenoux, Alexander Linden, 28 January 2019. The report was previously titled Magic Quadrant for Data Science Platforms.
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