The complementary solutions enable organizations to easily and quickly build, deploy, monitor, and scale their data science and machine learning projects
NEW YORK–(BUSINESS WIRE)–Today, Dataiku, one of the world’s leading Enterprise AI and machine learning platforms, announced its engagement in a partnership with Snowflake, the cloud data platform. Together, the companies deliver cloud-ready, Enterprise AI solutions that empower organizations with critical insights for decision making, through collaboration between data analysts and data scientists and performance optimization, all at enterprise scale.
The partnership combines Snowflake’s powerful query processing and ability to seamlessly scale to support any amount of data, workloads, and concurrent users and applications, with Dataiku’s machine learning and model management offering, which allows for ease of use among customers to enact holistic and seamless analytics and data science integrations across their organizations. The partnership highlights the alliance of Snowflake’s single, integrated platform experience with Dataiku’s collaborative, end-to-end platform democratizing access to data and enabling enterprises to build their own path to AI.
On top of technology alignment, this partnership features the creation and distribution of an advanced data science program that aims to bring systems integrators like Wipro, Interworks, or F33.ai — among others — a step further in inventing and building the future of analytics for their customers. “We’re especially pleased to see the Dataiku and Snowflake partnership take shape. Together, Dataiku’s collaboration-driven features and overall usability and Snowflake’s performance and ease of deployment will enable data-backed, organizational transformation for customers,” explained Brian Bickell, Data Practice Director, InterWorks.
Jayant Prabhu, Vice President and Global Head, Data, Analytics and AI, Wipro Limited added, “The partnership between Dataiku and Snowflake will change the way enterprises look at their data and insights transformation initiatives. Wipro’s deep domain expertise and years of experience in implementing transformative projects complements this partnership. Businesses will now be able to seamlessly roll out their enterprise AI/ML offerings on a highly scalable data infrastructure in their data-to-decisions journey, and be one step closer to transforming into intelligent enterprises.”
“Democratizing data science — removing the complexity, barriers, and data silos — has always been a mission of ours at Dataiku, and our partnership with Snowflake marks a pivotal moment in time as we come closer to achieving that,” said Dataiku CEO, Florian Douetteau. “With Snowflake, we are fundamentally making things easier to use for both data scientists and analysts, reaffirming our belief that cross-functional collaboration is a necessity for any AI project. Moreover, we are working on bringing a Dataiku version to Snowflake Partner Connect in Q3.”
Benoit Dageville, Co-Founder and President of Products at Snowflake said, “By leveraging Snowflake’s powerful data platform and instant, near-infinite scalability and Dataiku’s collaboration-driven, end-to-end Enterprise AI platform, users can effectively build more data products and deploy more projects into production. We’re pleased to announce this partnership so organizations can leverage Snowflake and Dataiku to collaborate seamlessly on the same data, without compromising on performance.”
To learn more about Dataiku’s integration with Snowflake, visit this link.
Dataiku is the centralized data platform that democratizes the use of data science, machine learning, and AI in the enterprise. With Dataiku, businesses are uniquely empowered to move along their data journey from data preparation to analytics at scale to Enterprise AI. By providing a common ground for data experts and explorers, a repository of best practices, shortcuts to machine learning and AI deployment/management, and a centralized, controlled environment, Dataiku is the catalyst for data-powered companies.
Laurel Toney, Strange Brew Strategies [email protected]