Press Releases

The report reveals that, while 86% of respondents estimate AI has become embedded into their daily operations, concerns about governance gaps, lack of explainability, and misplaced confidence remain.

By eliminating fragmentation caused by isolated, ungoverned agent experiments, Agent Hub helps enterprises unlock agent business value and better determine ROI with clear visibility into agent adoption, usage, and impact. 

Dataiku has been named to the Forbes 2025 Cloud 100, the definitive ranking of the world’s top private cloud and AI companies. The recognition highlights Dataiku’s role in helping enterprises accelerate AI adoption and deliver measurable business impact.

Dataiku joins forces with HPE to bring enterprises a fully integrated, production-ready AI stack. Discover how the Universal AI Platform powers real-world GenAI and agentic systems — built for scale, speed, and governance.

Dataiku and NVIDIA unveil the FSI Blueprint — a new architecture to help financial institutions deploy AI agents at scale, with the control and compliance needed for production.

Dataiku has been named Snowflake’s AI Data Cloud Product Partner of the Year, recognizing The Universal AI Platform™ for delivering enterprise-grade AI orchestration and governance at scale. With the launch of AI agents with Dataiku and continued innovation across Snowflake Native Apps and Snowflake Cortex AI, the award affirms Dataiku’s leadership in operationalizing agentic AI.

Dataiku once again recognized for “Completeness of Vision” and “Ability to Execute” in the 2025 Gartner Magic Quadrant™ for Data Science and Machine Learning Platforms.

Launching AI Agents with Dataiku — a new set of capabilities designed to create and control AI agents at scale, delivering a new class of AI applications powered by analytics, predictive models, and agents.

Dataiku has achieved the AWS Generative AI Competency. This certification recognizes the Dataiku Universal AI Platform for technical best practices and success helping customers use AWS to build GenAI applications and agents with governance of cost, quality, and safety.