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Dataiku Once Again in Gartner’s Magic Quadrant for Data Science and Machine-Learning Platforms

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Dataiku Believes the Position Reflects the Work They’ve Done to Focus on Collaborative Features That Enable Users to Quickly Get Started with Machine Learning and Its Support for Open-Source Solutions

Dataiku, the enterprise platform for data teams that moves businesses along their journey to artificial intelligence (AI), was named a Visionary in the Gartner Magic Quadrant for Data Science and Machine-Learning Platforms for the second consecutive year. Dataiku believes the position reflects the work they’ve done to focus on collaborative features that enable users to quickly get started with machine learning and its support for open-source solutions.

Dataiku’s unique solution removes roadblocks that allow enterprises to move quickly on the path to producing data projects while also providing the structure and stability necessary for long-term success. The platform, which is built for coders and non-coders alike, ensures successful leveraging of existing staff on the data journey, inclusive of all teams and profiles across the enterprise.

Also Read: RapidMiner Named a Leader in the 2018 Gartner Magic Quadrant for Data Science and Machine-Learning Platforms

Dataiku Again in Gartner's Magic Quadrant for Data Science and Machine-Learning Platforms
Florian Douetteau

“Businesses today need to be innovative with data to compete, and achieving this means not spending precious time on administrative, organizational, or repetitive tasks. We’re proud to be recognized in the Gartner Magic Quadrant for Data Science and Machine-Learning Platforms as a Visionary for the second year in a row. In the year to come, our company plans to develop more features to ease model management and deployment to bring produced data science to even more companies in the year to come,” said Florian Douetteau, CEO of Dataiku.

Hundreds of 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 2017, Dataiku doubled in size and tripled their revenue.

Also Read: The New Dataiku: A Central Hub for Enterprise Analytics, Machine Learning, and Data Science

The Gartner Data & Analytics Summit

Data and analytics leaders are fueling digital transformation, creating monetization opportunities, improving the customer experience and reshaping industries. The Gartner Data & Analytics Summit, that starts today, March 5, provides the tools to build on the fundamentals of data management, business intelligence (BI), and analytics; harness innovative technologies such as artificial intelligence (AI), blockchain and the Internet of Things (IoT); and accelerate the shift toward a data-driven culture to lead the way to better business outcomes.

Recommended Read: New EIU Report Forecasts Impact of Machine Learning to 2030

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