Dataiku 11 Unveils Enhanced Toolset to Scale AI


Dataiku has announced Dataiku 11, a pivotal update of the company’s data science and AI platform that helps organizations to deliver on the promise of Everyday AI. This packed release provides new capabilities for expert teams to deliver more value at scale, enables tech-savvy workers to take on more expansive challenges, helps non-technical workers more easily engage with AI, and provides strengthened AI Governance to ensure projects are robust, transparent, and ready for success at scale.

Dataiku 11 builds on Dataiku’s recent market momentum, in which the company crossed $150 million in annual recurring revenue and hired tech finance veteran Adam Towns as CFO. The company now serves more than 500 enterprises globally, helping leaders from Boeing to Unilever to speed workflows, prevent customer churn, and improve financial performance.

Empowering the Expert Technical Community

In Dataiku 11, tech experts can now access expanded tools to do more and deliver more value from AI projects. Release highlights include:

· Built-in tooling for advanced users that reduces technical overhead and increases day-to-day efficiency when crafting custom code, performing model experiments, or sourcing high-quality datasets.

· An end-to-end, visual path for computer vision tasks so that advanced and novice data scientists alike can tackle complex object detection and image classification use cases, from data preparation through to developing and deploying deep learning models.

· A collaborative, managed framework for image annotation removes the need for teams to use outside tools or services for data labeling, ensuring tight alignment between subject matter experts, labelers, and modelers.

Clément Stenac, CTO and a co-founder of Dataiku, said, “Expert data scientists, data engineers, and ML engineers are some of the most valuable and sought-after jobs today,” “Yet all too often, talented data scientists spend most of their time on low-value logistics like setting up and maintaining environments, preparing data, and putting projects into production. With extensive automation built into Dataiku 11, we’re helping companies eliminate the frustrating busywork so companies can make more of their AI investment quickly and ultimately create a culture of AI to transform industries.”

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