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

A chatbot can talk. But an AI agent with tools can take action. Say you want your agent to help prep for sales calls by pulling recent news on the account — funding rounds, leadership moves, product updates. For that, it needs web search. In Dataiku, you can add a tool like that in just a few clicks. Now your agent doesn’t just sound smart — it actually is. Want to see how this fits into a full agent workflow? We’re walking through it live in our next webinar. Save your seat 👇 https://bit.ly/4jbknpW #AIAgents #NoCode

🛠️ Want to see AI agents that actually deliver business value? Join our April 9th webinar where Daniel Ionita will demonstrate step-by-step how to build an AI agent that efficiently conducts web searches and news research. You'll learn: - How to integrate web search capabilities into your agents - Techniques for filtering and analyzing information from multiple sources - Practical implementation steps for immediate application Don't miss this opportunity to move beyond theoretical agent concepts and into practical implementation that transforms how your teams gather and analyze information. 👉 Register Now: https://bit.ly/43FfvFc #AIAgents #GenAI #PracticalAI

Updating bond prices every 5 minutes doesn’t cut it anymore. Trumid — an electronic fixed income trading platform — got it down to 30 seconds, and automated 81% of eligible RFQ line items along the way. They used our ML features to build a real-time predictive pricing engine (FVMP™) that delivers speed, transparency, and reliability in a market that doesn’t wait. Here’s how they made it happen 👉 https://bit.ly/4cj8yf5 #AI #MachineLearning #FinTech

How are you approaching your organization’s AI governance game plan — on defense or offense? 🏈 It should actually be both, according to Isaac Sacolick in his latest piece for InfoWorld Pulling together insights from AI leaders across the industry, he proposes governance isn’t just about avoiding risk. Designed correctly, it should power your strategy - playing an essential role in building AI that's efficient, production-ready, and aligned to business goals. As our very own Head of AI Strategy Kurt Muehmel shared in the article: 🗣️ “Our thinking about AI governance is often too limited, focusing only on compliance and risk reduction… AI governance thought of this way becomes not an obligation but a competitive differentiator.” Plenty of great perspectives in this one — from leaders rethinking what governance could help accomplish, not just what it should prevent. 🔗 Start building your AI governance game plan: https://bit.ly/3FPLWXw #AIGovernance #DataStrategy

Drowning in AI news? We built a no-code agent to fix that. With a few clicks in Dataiku, you can create an agent that: ✅ Tracks the latest AI updates (like when a new model drops) ✅ Summarizes the signal (not the noise) ✅ Emails you a Monday morning digest No code. No stress. No researching on your weekend. Watch how it works and be sure to save your seat for our upcoming webinar, where we'll show you exactly how to give your agents the tools they need to take action, just like in this demo 👇 Link: https://bit.ly/43BueAS #AIAgents #NoCode #LLMs #Dataiku

It's time to turn AI confusion into AI confidence ⏰ Not sure where to begin when it comes to upskilling your teams? Our #AILiteracy Bundle gives data and analytics leaders the tools to build knowledgeable, future-ready teams — featuring expert guidance from Deloitte. Don't let your AI ambitions outpace your team’s skills — empower your org to make smarter, faster AI decisions. 📥 Grab the bundle: https://bit.ly/4jay3Bx

Big news: Dataiku achieves AWS Generative AI Competency! This reinforces our leadership in helping enterprises build, scale, and operationalize trustworthy, production-ready GenAI solutions. Why Dataiku + AWS are a perfect match for AI innovation: ✅ Enterprise-Ready AI — Enabling organizations to safely scale GenAI with governance, security, and transparency at the core. 🤝 AI for All — Empowering both technical and business teams with no-code, low-code, and code-first options. ✨ AWS-Powered AI Stack — Seamlessly integrating with Amazon Bedrock, SageMaker, and other AWS AI services to drive efficiency, automation, and innovation. 📣 See why AWS recognized us — read the announcement: https://bit.ly/3R0TTeR #AWSPartner #GenerativeAI #AIInnovation

🤯 OpenAI drops GPT-4.5. Anthropic releases Claude Sonnet 3.7. Google launched a new version of Gemini. DeepSeek unveils its latest V3. And that's just THIS quarter! Keeping up with the GenAI model explosion is like playing whack-a-mole with your architecture (and budget)! But what if you could swap models instantly without rebuilding agents and apps? What if you always knew exactly which model performs best for each task? Join our webinar on April 3 to discover “The Modern AI Architecture” — your foundation for GenAI success. See how to stay ahead of the model madness instead of just keeping up! 👉 Register now: https://bit.ly/4leZKLy #AIAgents #GenAI #Webinar

Building agentic applications is one thing — ensuring they’re actually performant is another. How do you measure and monitor agentic AI performance beyond just speed? The newly released Chapter 4 of our tech guide with O'Reilly explores: 🔹 Quality vs. Speed: Why fast responses don’t always mean effective outcomes. 🔹 Intrinsic and Extrinsic Evaluation: Measuring how well a model performs on its own and how well it completes specific tasks. 🔹 Monitoring at Scale: How an LLM Mesh simplifies performance tracking across agent workflows. Whether you're launching your first agent or scaling across teams, knowing how to measure performance is critical to building reliable, cost-effective systems. 📖 Get early access to Chapter 4 and start optimizing your agentic applications today: | https://bit.ly/3Y6nxD8 | #AgenticAI #AI #LLMMesh