The new release provides advanced capabilities for experts and automation for business users to help embrace Everyday AI
Dataiku has announced Dataiku 11, a pivotal update of the company’s data science and AI platform that helps organisations 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.
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 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 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 labelling, ensuring tight alignment between subject matter experts, labellers, and modellers.
“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,” said Clément Stenac, CTO and Co-Founder, Dataiku.
Dataiku 11 also empowers non-coders, including subject matter experts, citizen data scientists, and knowledge workers with easy-to-use, no-code tools that help any employee harness the power of AI to move the business forward.
New tools include:
- Visual time series forecasting enables professionals to create robust business forecasting models without coding.
- A centralised feature store and new sharing workflows make it easier for teams to reuse work, speeding projects responsibly and safely.
- Powerful what-if accelerators help teams evaluate the best path to optimise business outcomes. For example, what changes could a manufacturer make to factory conditions in order to achieve the maximum production yield? Or for a bank, what adjustments to a consumer’s financial profile would lead to the lowest predicted probability of their defaulting on a loan?
