📣 It’s official: Dataiku is once again a Gartner® Magic Quadrant™ Leader for Data Science and Machine Learning Platforms, marking the fourth time we've received the recognition. We stayed focused on what matters most in a year where AI evolved faster than ever: 🔹 Real enterprise scalability 🔹 Architectural foresight for GenAI and AI agents 🔹 A platform that puts control — not chaos — at the center of innovation As The Universal AI Platform™, we help the world's top organizations go from analytics to agentic AI — with maximum flexibility, zero lock-in, and built-in guardrails for cost, risk, and governance. Get the report: https://bit.ly/4kwPPA3 #GenAI #GartnerMagicQuadrant
Dataiku
Software Development
New York, NY 216,559 followers
The Universal AI Platform™
About us
Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Aggressively agnostic, it integrates with all clouds, data platforms, AI services, and legacy systems to ensure full technology optionality — empowering customers to future-proof their AI initiatives. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to build with AI using their existing skills and knowledge. Designed for the most demanding enterprise environments, Dataiku builds governance into every part of the platform, ensuring regulatory compliance and complete business alignment. More than 700 companies worldwide use Dataiku, including leaders across industries including life sciences, logistics, retail, manufacturing, energy, financial services, software, and technology. With a strong focus on the Forbes Global 2000, Dataiku also supports non-profits and academic institutions through its AI-for-Good initiatives.
- Website
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http://dataiku.com
External link for Dataiku
- Industry
- Software Development
- Company size
- 1,001-5,000 employees
- Headquarters
- New York, NY
- Type
- Privately Held
- Founded
- 2013
- Specialties
- Enterprise AI, AutoML, Data Prep, Responsible AI, Transparent AI, Scalable AI, Data Democratization, Generative AI, Agentic AI, Data Science, Machine Learning, and End-to-End Data Science Platform
Products
![Click here to view Dataiku]()
Dataiku
Data Science & Machine Learning Platforms
Dataiku: The Universal AI Platform™ Dataiku is the only platform on the market that unifies all your data work, from analytics to generative and agentic AI, for maximum Return on AI (ROAI). Dataiku enables enterprise-wide AI transformation by: - Connecting to existing infrastructure and integrating with all the latest and greatest technology so organizations can experiment and switch underlying architectures with ease. - Supporting everyone (from data to domain experts) in working with data, meeting them where they are with no, low, and full-code features. - Underpinning all processes with the governance and right level of oversight required to leverage AI at scale and make informed decisions about risks and resources.
Locations
Employees at Dataiku
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Kevin McLaughlin
Marketing, Communications, and Brand Strategist | IPO specialist | 25+ yrs in-house + agency exp.
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Carole Offredo
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Andrea Staertow Henry
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Mark Palmer
CEO ⋅ Chief Product Officer ⋅ Board Member ⋅ Named “A Technology Pioneer That Will Change Your Life” by Time Magazine ⋅ Top 50 Product and Growth…
Updates
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Dataiku reposted this
Meet the six Dataiku AI assistants redefining what it means to be a GenAI-powered analyst. From cleaning messy data to writing SQL, generating code, and creating business-ready presentations, they take the heavy lifting out of analytics. The result: faster decisions, fewer bottlenecks, and more time for the work that matters most. See how it works in the flipbook: https://bit.ly/4mULho0 #GenAI #AIAssistants
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Your AI agent nailed the demo. But can it handle the pressure of real enterprise constraints: reliability, safety, and scale? On September 10, join Dataiku experts for a tactical webinar on "How to Effectively Evaluate AI Agents" across five key areas. Learn how to spot weak signals early, mitigate risk, and build frameworks built for non-deterministic LLMs. If you're investing in AI agents, this session is a must. 🔗 Sign up today to attend live and get your questions answered: | https://bit.ly/3JLg1JJ | #AIAgents
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Why rebuild everything from scratch when you can orchestrate? For Anubhav Srivastava, Associate Director of AI Engineering & GenAI at Novo Nordisk, that’s the value of Dataiku: moving faster on AI initiatives without redoing work that’s already been solved. With this approach, Novo Nordisk delivered a document assistant chatbot for 1,500 field users and built an AI governance framework where privacy, compliance, and business leaders decide when solutions go live. Read the full story here: https://bit.ly/4n42WcO #GenAI #AIGovernance
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Scaling AI across 300+ stores takes more than tech. It takes trust. At John Lewis Partnership, the well-loved British retailer, teams use Dataiku to build reusable systems that work with their existing stack, seamlessly. The result: faster time to value, governance baked into every model, and the freedom to move quickly as they explore what’s next with generative and agentic AI. Discover the full story: https://bit.ly/4fZkLHL #AIInRetail #AIAgent
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Enterprises are embracing GenAI and AI agents at speed. But governance is lagging, leaving organizations exposed to compliance gaps, bias, data leaks, and mounting costs. A recent IDC ProductScape: Generative AI Governance Platforms, 2025 included Dataiku. The report noted, “When it comes to the governance issues surrounding AI and generative AI, the Dataiku AI Platform (Dataiku Govern) is a comprehensive system that can be used either on-premises or in the cloud. It gives organizations the tools they need to manage AI models throughout their lifecycle, including regulatory compliance, security, and ethical considerations.” Read the IDC ProductScape report: https://bit.ly/45GT5nu #GenAI #AIGovernance
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How do you make AI agents work with the models and analytics you already have? Conor Jensen, Global Field CDO at Dataiku, says the MCP server is an early step toward standardization, while the A2A protocol is generating interest but still in the early stages of adoption. His advice: Don’t wait, start building with agents today, connecting them to your data, your models, and each other. That perspective reflects a broader market shift: The 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms advises leaders to evaluate "platforms with awareness of AI agents enabling autonomous and interactive workflows and applications." Dataiku has been recognized as a Leader for the fourth time in this report. We help organizations take a practical, scalable approach to AI. Get your complimentary copy of the report: https://bit.ly/3HW1oTl #AIAgents #GartnerMagicQuadrant
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35% of CEOs estimate their AI initiatives amount to "AI washing," focused on optics and reputation while offering little real business value, according to our Global AI Confessions Report: CEO Edition. On the latest AI with Alec, Alec Coughlin and our Head of AI Strategy, Kurt Muehmel, dig into the growing reality of AI "agent washing" and what enterprise leaders need to do to move from experimentation to execution. They cover the importance of high-impact use cases, selecting the right architecture, and operationalizing agents within core systems. More in the conversation below. 👇 Discover more CEO Confessions in our report: https://lnkd.in/ebTVyNJr
Enterprise AI agents help us “focus on making the beer taste better” aka the 20%+ of efforts that drive 80%+ of the results. Kurt Muehmel, Head of AI Strategy at Dataiku, returned to AI with Alec for another AI deep dive. This time, the focus was enterprise AI agents and why they represent a fundamental shift in how work gets done. The thought provoking conversation moved through a number of critical success drivers for enterprise AI agents including the following: 1️⃣ Three-part definition of AI agents that cuts through agent washing hype 2️⃣ Why technology capabilities are racing ahead of enterprise adoption 3️⃣ The “AWS moment” for AI…are we approaching standardization of the abstraction layer between intelligent systems and human collaboration? 4️⃣ Implications of AI agents helping us “traverse the boundaries of traditional software” 5️⃣ Building the “hybrid human agent workforce” including the tooling and mindset shifts required 👇 Watch the preview below Link to the complete episode in the comments. Also in the comments, a link to “LLM Mesh”, a technical guide created through a collaboration between Dataiku + O'Reilly.
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Miss the EU AI Act deadlines and your AI systems could be non-compliant. Articles 9–15 set strict rules on risk management, data governance, transparency, and human oversight. Don’t wait until 2026, prepare now. 👉 Swipe through the carousel below and read the full article for more: | https://bit.ly/3JCIgKy | #EUAIAct #AIGovernance
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AI doesn’t end at deployment. It needs continuous monitoring, evaluation, and improvement. Our latest infographic shows how AI Engineering Operations bring together AgentOps, LLMOps, MLOps, and DataOps to ensure safe, reliable, and high-ROI AI systems. Explore the full infographic: | https://bit.ly/4n8xNoN | #AIEngineeringOps