Dataiku Again Named a Leader in the Gartner 2021 Magic Quadrant for Data Science and Machine-Learning Platforms
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NEW YORK, Feb. 11, 2021 /PRNewswire=KYODO JBN/ --
Placement marks Dataiku's second consecutive year in the Leaders quadrant
Today Dataiku, the world's most advanced Enterprise AI platform, was named a
Leader in the Gartner 2021 Magic Quadrant for Data Science and Machine-Learning
Platforms, marking its second consecutive year in the Leaders quadrant. Dataiku
believes the placement amid the fast-moving market for AI tools cements its
position as the driving force behind breakthroughs in Enterprise AI at
organizations across the globe.
Photo link: https://mma.prnewswire.com/media/1449193/Image_Gartner.jpg
Since its founding in 2013, Dataiku has continuously delivered on its vision to
connect thousands of people across an organization, unifying each company's
approach to and ability to execute on data science, machine learning, and AI
projects at scale.
In 2020 as Enterprise AI maturity became table stakes for survival, Dataiku
customers already had the right building blocks in place. Dataiku's
centralized, controlled, and elastic environment fuels exponential growth in
the amount of data, the number of AI projects, and the number of people
contributing to such projects, and was built to scale as businesses strive to
go from a handful of models in production to hundreds (or thousands). With
hundreds of people and multiple teams across the business armed with the tools
to make better decisions using data, agility to weather change was within
reach.
Dataiku released two major updates (versions 7(
and 8(
in 2020, packed with features to continue to expand the footprint of AI across
the business via data scientists, analysts, and data leaders alike. In August
2020, Dataiku also announced a $100 million Series D funding round to support
its momentum as a company, and the worldwide acceleration in Enterprise AI
efforts.
"Dataiku has always been a trailblazer in this market - our platform was built
from the ground up for everyone in an organization, and we have always been an
end-to-end solution that offers a full spectrum of features from data ingestion
to production, monitoring, and governance," said Florian Douetteau, Dataiku
CEO. "We're proud to be recognized as a Leader in the Garner 2021 Magic
Quadrant for Data Science and Machine-Learning Platforms for the second
consecutive year. We see it as continued affirmation of the technology we've
built, the principles we stand for, and the value for customers in our approach
to Enterprise AI transformation."
Dataiku supports the AI strategies of more than 400 companies worldwide,
allowing organizations across pharmaceuticals, health care, financial services,
transportation, the public sector, manufacturing, retail, and more to massively
scale their AI efforts. Dataiku employs more than 550 people worldwide between
offices in New York, Paris, London, Munich, Sydney, and Singapore.
Learn more about Dataiku and get a complimentary
copy(https://pages.dataiku.com/gartner-2021) of the Gartner 2021 Magic Quadrant
for Data Science and Machine-Learning Platforms here, or see what Dataiku users
have to say on Gartner Peer Insights(
where Dataiku is rated 4.9/5 stars*.
*Based on 84 reviews as of March 4, 2021
Gartner, Magic Quadrant for Data Science and Machine-Learning Platforms, Peter
Krensky, Carlie Idoine, Erick Brethenoux, Pieter den Hamer, Farhan Choudhary,
Afraz Jaffri, Shubhangi Vashisth, 1 March 2021. The report was previously
titled Magic Quadrant for Data Science Platforms.
Disclaimer: 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 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: Dataiku
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Caption: Dataiku
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