Dataiku Named a Leader in Multimodal Predictive Analytics and Machine Learning Solutions, Q3 2020 Report by Independent Research Firm
Report says Dataiku ascends “to the crème de la crème” in the evaluation
Dataiku, a global Enterprise AI and machine learning platform, appeared as a Leader in the The Forrester Wave™: Multimodal Predictive Analytics and Machine Learning Solutions, Q3 2020. The announcement comes on the heels of Dataiku’s $100 million Series D investment round, further validation, in our opinion, of the company’s strength in the Enterprise AI market.
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“We’re proud to be recognized as a Leader by Forrester Research, and of the strides we’ve made in democratizing data by being the central location for distributed or remote teams, providing resources to work faster and smarter together for a more data-driven organization”
The Forrester report states that Dataiku has ascended “to the crème de la crème”, noting that the company has been on “an unstoppable march toward democratizing its enterprise PAML for a host of different roles within an enterprise, from business analysts to data scientists.”
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Dataiku was founded in 2013 with the mission to take machine learning and AI projects out of experimental labs and put them into everyday operations that are truly woven into the fabric of a company. Today, Dataiku serves more than 300 customers worldwide who understand that a collaborative and end-to-end AI strategy is critical to their success, including Schlumberger, GE Aviation, Sephora, Unilever, BNP Paribas, Premera Blue Cross, and Kuka. Its team has grown to more than 450 people worldwide in New York, Paris, London, Frankfurt, Dubai, Amsterdam, Sydney, and Singapore.
“We’re proud to be recognized as a Leader by Forrester Research, and of the strides we’ve made in democratizing data by being the central location for distributed or remote teams, providing resources to work faster and smarter together for a more data-driven organization,” said Florian Douetteau, CEO of Dataiku. “As the report notes, we have an ‘always aggressive roadmap’ – we plan to take our current end-to-end platform even further in order to continue to scale, serve our customers, and continue to keep up with customers’ AI maturity.”
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