Dataiku @dataiku
Dataiku is the Platform for AI Success, connecting AI agents, data, and models so enterprises can build, deploy, and govern multi-vendor AI systems. dataiku.com New York, NY Joined September 2012-
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AI now affects CEO pay, board scrutiny, and job security. Yet many leaders don't fully trust, control, or own the systems they are accountable for. We surveyed 900 CEOs worldwide to uncover five candid confessions reshaping leadership in the age of AI: pages.dataiku.com/global-ai-conf…
What does AI success mean to you? Not more hype, models, or tools. The future of AI starts from a business pain, not from the technology by itself. Hear the conversation to learn how the partnership between Dataiku and Accerte unifies people, orchestration and governance at scale
Your agent count is growing. Your visibility should too. AI agents are spreading across platforms and workflows. Do you know if they work and deliver value? We’ve been working on something for that. See it at Dataiku Succeed 2026. Sept. 24 · New York dataiku.com/succeed-nyc?ut…
See AI success in action at Dataiku Succeed 2026. Explore AI, data, ML, analytics, agentic processes, Agent Management, and Dataiku Cobuild through hands-on demos and conversations with experts. Join us in New York on September 24: tinyurl.com/576arfbr #DataikuSucceed26
Every agent, one control layer. Join the first live demo of Dataiku Agent Management to see how you can discover every agent, measure them against real business outcomes, and govern them with the controls regulators expect. Register now: bit.ly/4xUFxk8
"There's a human in the loop" only counts as accountability if that person can actually stop the action in time. New in the AI Governance Gap series: why reversibility should decide how tightly you govern agentic AI. Read now: bit.ly/4zZ7dFE #AgenticAI #AIGovernance
Dataiku Succeed brings together leaders navigating the next stage of enterprise AI. Spend the day learning from peers tackling the same challenges, seeing what’s working in practice, and leaving with ideas you can take back to your organization. bit.ly/3V17Q1u
Why does AI still get “revenue” wrong, even when the data is right? Often, the problem isn't the model. It's missing business context: trusted definitions, valid joins, and the logic behind the data. Read the full blog: dataiku.com/blog/engineeri…
"Open," "local," and "compliant" don't add up to sovereignty. A new @UN report and The Dataiku Sovereignty Manifesto start from opposite ends and reach the same point: sovereignty is whether your AI answers to you. Read the blog now: bit.ly/4dauk6j #EnterpriseAI
Join us Sept 9 for a live webinar where we put Good Machine Learning Practice (GMLP) to work on a real clinical AI use case and dig into where regulated AI actually stalls. Register now: bit.ly/4qVUsrC
Dataiku Succeed 2026 is where enterprise AI moves from ambition to action. Join 1,000+ AI, IT, data, and business leaders in New York on September 24 for practical insights, real-world use cases, and ideas you can put into practice. Join us: dataiku.com/succeed-nyc?ut…
In regulated AI, the model is rarely what fails. The evidence does. Rebuilding it after the demo is survivable once. At thirty use cases, it's the bottleneck. Join us live Sep 9 to see GMLP applied to a real clinical AI use case. Register here: bit.ly/4qVUsrC #GMLP
In regulated industries, the AI risk isn’t whether an agent works. It’s whether you can prove how it worked. See how Dataiku Cobuild turns a coding agent into a governable workflow. Already using Dataiku? Ask your account team about upgrading to Dataiku 14.7 to try Cobuild.
Join Dror Zelber and Stephen Wagner to learn how Dataiku and @radware help enterprises take agentic AI from experimentation to secure, governed production without losing visibility or control. Register for the webinar: brighttalk.com/webcast/18348/…
Scaling AI pilots across the enterprise is where things start to get complicated. Read why Dataiku was named a Leader in the 2026 Gartner® Magic Quadrant™ for AI Platforms for Data Science & Machine Learning for the fifth consecutive year: dataiku.com/blog/dataiku-n…
In life sciences, the AI you can scale is the AI you can defend. Most teams stall on evidence they never captured while building it. But reconstruction can only survive once or twice. Find out what defensible AI actually takes in our blog: bit.ly/4gFG6qB #GMLP
Your AI agent runs. Great. Can it show which numbers it used, prove it was evaluated, or survive an audit? Learn more, and get insight into why we believe we were recognized in the 2026 Gartner® Magic Quadrant™: bit.ly/4qAhJyR
In regulated life sciences, the model rarely fails. The evidence does. See how GMLP + Dataiku build the audit trail as your AI runs so it's ready when a reviewer asks instead of rebuilt from scratch under pressure. Register now: bit.ly/4hQZfIj #GMLP #AIGovernance
Building an agent is easy. Getting it to do what you actually need? That's the hard part. Watch our webinar, discussing our fifth placement in the 2026 Gartner® Magic Quadrant™, on the divide most enterprises don't see: bit.ly/3UBwQfz
Join Dataiku Field CDO Catalina Herrera and PeopleReign CEO Dan Turchin will discuss role redesign, shadow AI, how managers lead work shared between people and AI, and what leaders should measure beyond productivity alone. #FutureOfWork Secure your spot: meet.dataiku.com/ai-changes-job…
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