📣 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 216,340 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
- Data Science, Machine Learning, Data Science Platform, Collaborative Data Science, End-to-End Data Science Platform, Enterprise AI, Big Data, AutoML, Data Prep, Responsible AI, Transparent AI, Scalable AI, and Data Democratization
Products
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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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
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From enhancing operational efficiency to improving the quality of production, Dataiku elevates all parts of the business with AI (including GenAI and agentic AI!). Learn more about Dataiku Solutions for the manufacturing industry here: | https://lnkd.in/eq5hAf8E #PredictiveMaintenance #BatchQualityControl #Manufacturing
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For Ted Ross (CIO of the City of Los Angeles), the job of CIO isn’t abstract. It’s about impact at the street level. His team helped launch ShakeAlertLA, an early warning app that gives Angelenos a few seconds to brace before an earthquake hits. It’s a clear example of what happens when tech, policy, and public trust come together. Hear more from Ted in the clip below and in Season 3 of AI&Us: | https://lnkd.in/dS3Ccvhq | #GenAI #CIOs
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At Akamai, a small team of analysts is doing the kind of work you’d expect from data scientists. Akamai’s Director of Strategy & Operations, Kyle Mueller, and his team scaled their impact with Dataiku by automating manual tasks through AI agents, such as by building an agent that ingests financial and customer data into Dataiku to surface insights. They've also built ML models for staffing projects, fraud detection, forecasting, and operating plan generation, with one project saving two weeks of effort. Most importantly, Dataiku has helped them reduce time to production, getting models into use faster, all without a single data scientist on the team. Read the full story: https://bit.ly/45SePf3
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The final chapter of the O'Reilly tech guide has just been released and it takes an LLM Mesh architecture from theory to practice! It brings an LLM Mesh to life with a practical walkthrough of building and maintaining an Anti-Money Laundering (AML) Assistant as an agentic application for compliance. This capstone chapter ties together the lessons from earlier chapters and shows an LLM Mesh in action. For IT leaders, the takeaway is clear: Monolithic builds are brittle, while an LLM Mesh delivers speed, reliability, and governance by design. Read the final chapter now to see how an LLM Mesh powers agentic applications: https://bit.ly/4lHvszR #LLMMesh #AIAgents
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Only 27% of execs today trust fully autonomous agents in the enterprise, down from 43% last year. Risk awareness is rising, but governance tooling needs to catch up. In the final post of his three-part series, BARC's Kevin Petrie lays out four key criteria to guide that process, covering governance capabilities, usability, ecosystem support, and scalability. Read the full article here: | https://bit.ly/41Ql69O | #AgenticAIGovernance
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AML investigations are complex and time-consuming. That's where the AML Investigator comes in: a network of specialized AI agents built in Dataiku to search past alerts and risk factors, draft compliance-ready SAR documentation, identify connections in transaction networks, and more. Swipe through the carousel below or explore the full breakdown here: | https://bit.ly/4lIaPUj | #AMLAgent #AgenticAI