Dataiku

🎉 Dataiku has reached a new milestone! We've surpassed $300 million in annual recurring revenue (ARR), representing growth of more than 2X over the past three years! The journey to accelerate enterprise GenAI adoption & ROAI globally isn’t easy — but it certainly is rewarding! 🤝 700+ companies worldwide — including J&J, Novo Nordisk, Morgan Stanley, LVMH, Perdue Farms, and Rolls-Royce — trust Dataiku to unlock business value and drive transformation. 🚀 20% of our customers now use Dataiku to deploy and manage over 1,000 active GenAI use cases — and growing! Dataiku’s mission is to bring Everyday AI to life by connecting technology, people, and operations to embed AI into daily workflows — empowering teams to build for the future. Thank you to all our employees, customers, partners, and investors who have not only made this achievement possible, but incredibly worthwhile! See what this milestone means for Dataiku: https://bit.ly/42i7Ls6 | #AI #EverydayAI #GenAI #ROAI

👀 “Next we have everybody’s favorite topic: governance. You love it? I love it. No, we don’t.” — Conor Jensen, Global Field CDO at Dataiku Governance has taken center stage — and not in just one format. We’re talking data governance, policy governance, model governance, LLM governance, GenAI governance, even agent governance. As Conor says, companies are nervous. And they should be. AI is moving fast — faster than you think. And without strong governance, the rise of agents and GenAI could bring more chaos than value. 🤖 Want to get ahead of it? 📥 Start with the annual Dataiku trends report — your guide to what’s here, what’s coming, and why governance is more critical than ever in the era of agents. 👉 https://bit.ly/4l82LwQ #GenAI #Governance #AIagents

Do you have one of these titles and fear for your future? You’re not alone… and there is hope for you yet! In his latest Forbes piece, Florian Douetteau, our co-founder and CEO, makes it clear: the AI honeymoon is over. Ph.D. prestige, pixel-perfect dashboards, and regulatory red tape are getting steamrolled by real-world demand and production-ready results. But these roles aren’t disappearing and expertise still matters — what’s changing is how, where, and how fast it needs to show up. Everyone in these roles can ditch their blues for a new tune! 👉 Find out more in Florian’s full take: https://bit.ly/3FKVRxr #AI #AITransformation

🚀 From predictive maintenance to real-time quality monitoring, Michelin is revolutionizing its industrial processes with #AI. During this webinar, Matthieu Leynet, Manager of Innovation for Industry 4.0 at Michelin, Jeremy OLEON, Senior Manager at Accenture, and Pierre Goutorbe, AI Solutions Director, Energy and Manufacturing at Dataiku, shared insights on: - How Michelin integrates AI at scale across 65 factories. - Best practices for driving AI adoption in manufacturing. - How to empower teams with data-driven decision-making. 🔄 Catch up on the insights and real-world success stories: https://bit.ly/4jcz38u

AI agents aren’t the future — they’re the now. Does your organization have a plan in place for harnessing agentic AI at scale, without the chaos? We have been recognized as an Emerging Leader in Generative AI Engineering in the 2025 Gartner® Innovation Guide for Generative AI Technologies. Discover how Dataiku — a 3x Leader in the Gartner® Magic Quadrant™ for Data Science and ML Platforms — gives you control over your AI talent, processes, and technologies to create analytics, models, and agents. 🔗https://bit.ly/420Ihxn

💃 It takes two to tango — and the winners of the 2025 Dataiku Partner Awards set the tempo for AI innovation! These exceptional organizations are driving real, measurable impact with the Dataiku Universal AI Platform, helping enterprises around the world turn the promise of AI into reality. To our entire partner ecosystem: thank you for building, scaling, and transforming with us. 👉 See the full list of winners and learn more in the press release: https://bit.ly/4j2a8EZ #AI #DataikuPartnerNetwork

Even great code needs a voice. Marketing can help educate, convince, and convert people into customers. Unfortunately, it’s also one of the most misunderstood areas by developers. Join Camélia Bessaa and Karim Matrah next week for an engaging session on Marketing Nondeterministic Algorithms, where we’ll explore how marketing can elevate your product from good to game-changing. Come for the insights, stay for the snacks, and meet other devs and tech teams figuring this stuff out too. 📅 April 2 | Starting at 7 p.m. CET 📍 Dataiku Paris Office ⏳ Last chance to sign up — seats are almost gone 👉 https://bit.ly/4hFUiON #MarketingForDevs #TechSuccess #DataikuMeetup

💡 KI-Kompetenz wird Pflicht – nicht Kür. Der #EUAIAct macht deutlich: Unternehmen brauchen nicht nur leistungsfähige Technologien, sondern auch breit verankerte KI-Kompetenz – in Teams, Prozessen und Führung. Ein neuer Artikel im DUP UNTERNEHMER Magazin bringt es auf den Punkt: #AILiteracy ist ein entscheidender Erfolgsfaktor, um Chancen zu nutzen und regulatorische Anforderungen sicher zu erfüllen. 👉 Lesenswert für alle, die KI nicht nur nutzen, sondern verantwortungsvoll gestalten wollen: 🔗 https://lnkd.in/eGgXy8CE

Who’s keeping your AI in check? 🤖 👀 For Fabrice Ciais, lead director of ML, GenAI & AI governance at PwC, governance isn’t an afterthought — it’s embedded from day one. With Dataiku, every project is tracked, assessed, and monitored from development to deployment. 🚀 The result? Governance at scale, full visibility across the AI lifecycle, and high-risk models flagged before issues arise. #AI #GenAI #Governance

How do you measure performance in agentic applications? As more enterprises build on LLMs, the question isn't can we build these apps — but how well are they working? Measuring performance goes beyond latency and uptime. In the world of agentic apps, we need to evaluate: 📌 The quality of the LLM-generated responses ⚡ The speed and responsiveness of the entire system 💸 The cost of achieving both Traditional LLM benchmarks won’t cut it. What matters is how your applications perform in your context. That's where an LLM Mesh comes in. Dive into the just-released Chapter 4 of our technical guide with O'Reilly to explore the architecture built specifically for the complexity of agentic applications: | https://bit.ly/4hLwJ78 |