The latest and the greatest from the Dataiku headquarters about significant events, updates, and happenings.
Dataiku was recognized as one of the 50 Highest Rated Private Cloud Computing Companies To Work For in a list released by Battery Ventures, a global investment firm and cloud investor, and Glassdoor, one of the world’s largest job and recruiting sites.
Learn MoreDataiku today announced its collaboration with GE Aviation through a joint white paper detailing the evolution of GE Aviation’s Enterprise AI journey, specifically the development of its Self-Service Data program from zero to more than 1,800 users that has paved the way for wider company change.
Learn MoreDataiku announced the release of Dataiku Free Edition and Dataiku Lite Edition to enable small- and medium-sized businesses the ability to democratize data science, machine learning, and AI in their organization, no matter the size.
Learn MoreDataiku unveiled the latest release of their software platform, Dataiku 5.1. The innovative new release provides user experience upgrades, a more customized coding experience, and peace of mind for regulatory compliance, all of which allow companies to grow their AI capabilities faster while still maintaining sound governance practices.
Learn MoreDataiku expanded its footprint in the Asia Pacific (APAC) region with a new office opening in Sydney, Australia.
Learn MoreDataiku 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.
Learn MoreDataiku Inc., one of the world’s leading enterprise data science and machine learning platforms, announced a $101 million Series C funding round led by Iconiq Capital and supported by Alven Capital, Battery Ventures, Dawn Capital, and FirstMark Capital.
Learn MoreThe Enterprise AI Lab is made up of international data scientists, data experts, and AI architects who will take on challenging projects from corporations, nonprofits, or academics - large or small - worldwide. The ultimate goal of the EAI Lab is, from a pure technological and execution perspective, to improve business processes using AI and ultimately free up employees for more creative and engaging work.
Learn MoreScikit-learn, the most widely used and only community driven general machine learning library in the world, announces the creation of an industrial consortium, in part supported by enterprise AI software maker Dataiku.
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