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Dataiku Announces the Release of Dataiku Lite Edition

Democratizing the Use of Data For Small & Medium Sized Businesses to Harness the Power of Enterprise AI

(PRNewsfoto/Dataiku Inc.)

News provided by

Dataiku Inc.

Apr 02, 2019, 09:00 ET

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NEW YORK, April 2, 2019 /PRNewswire/ -- Dataiku, one of the world's leading Enterprise AI and machine learning platforms, today 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. These new platforms will give smaller or early maturity stage businesses an equal opportunity to understand, collaborate, and transform their organizations through Enterprise AI.

In today's business climate, large enterprises tend to reap the most rewards from emerging AI technologies, transforming their business models around the new frontiers of data science and machine learning. According to Gartner's Predicts 2019: Midsize Enterprise CIOs Lead, Adapt and Evolve Digital Transformation, "Creating and sustaining a competitive advantage require CIOs of MSEs to pay close attention not only to near-term impacts, but also mid- and longer-term advances in technology. This is the only way to ensure that they adopt the most relevant strategic technology trends that will help them to survive and thrive in the fast-changing business environment." 

In addition, the report states, "By 2022, over 50% of midsize enterprises will improve their productivity and growth through adopting artificial intelligence into their core business operations." With this in mind, Dataiku recognizes AI innovation is critical to any business and that it provides value even when executed at a smaller scale.

"With these new offerings, we're democratizing the use AI so that enterprises of any size can reap the tremendous competitive advantage that comes with today's AI revolution," said Florian Douetteau, CEO of Dataiku. "We're proud to be leading this movement and look forward to working alongside businesses of all sizes — whether a three-person company or large multinationals — to transform their business models and break open new markets and opportunities. In fact, we're thrilled to already be partnering with over 1,000 smaller and medium-sized businesses who are starting their path to Enterprise AI with Dataiku Free and Lite Editions."

Dataiku Free Edition:  The updated and comprehensive Dataiku Free Edition allows for the building of a unique collaborative platform wherein multiple users can work on the same projects and have access to integrated documentation and knowledge sharing. The Dataiku Free Edition now enables teams of up to three users to work on data simultaneously.

Dataiku Lite Edition: This new platform provides all of the capabilities of the Dataiku Free Edition while also allowing users to employ key features from the Dataiku Team and Enterprise Editions. This platform is designed to be an entry point for smaller businesses to begin their journey with Enterprise AI, expanding their platform and capabilities as their organizations grow. This platform eases the pain points many smaller businesses face in getting AI efforts off the ground due to lack of resources.

In every market or region and across all industries, Enterprise AI holds the potential to transform any company or institution. With Dataiku, organizations can easily create powerful, machine learning-powered applications on a single, collaborative platform. Hundreds of companies, including large Fortune 500s and small businesses, leverage Dataiku to empower teams to create, deploy, and monitor scalable data products and to solve pressing, industry-wide problems such as fraud, supply chain optimization, predictive maintenance, and more.

Dataiku believes this announcement continues to build upon the momentum, growth, and recognition the company has received in the past year. Earlier this month, the company released the latest version of the software platform: Dataiku 5.1. In February, Dataiku expanded its physical footprint to Asia Pacific with new offices in Sydney. In January, Dataiku was named a Challenger in the Gartner 2019 Magic Quadrant for Data Science and Machine-Learning Platforms. In December 2018, Dataiku announced its $101 million Series C round to transform and democratize Enterprise AI globally.

Pricing and Availability

Dataiku Free Edition:  Is available on both Amazon Web Services (AWS) and Microsoft Azure, as well as on premise.

The Dataiku Lite Edition: Customers requiring support for Hadoop or regular job scheduling and support can upgrade directly to the Dataiku Lite Edition (starting at $3,000/month).

Dataiku Team and Enterprise Editions are available for customers with bigger security and deployment purposes as well as need for support for larger teams.

Source: Gartner, Magic Quadrant for Data Science and Machine Learning Platforms, Carlie Idoine | Peter Krensky | Erick Brethenoux | Alexander Linden, 28 January 2019. [LG1]

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, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About Dataiku

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.

SOURCE Dataiku Inc.

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