Dataiku

Gartner projects that by 2030, AI will fully handle 25% of IT’s work and augment the rest. But here’s the catch: in our latest survey, 95% of data leaders said they can’t trace how AI decisions are made, a real risk as IT races to deeper automation. As Kurt Muehmel puts it in The Daily Upside: companies can’t scale what they can’t monitor. For CIOs, that means governance, performance visibility, and auditability aren’t “nice to have,” they’re day-one requirements. Read the full story from Caitlin Wolper Phillips: https://lnkd.in/etTPSX2N

Digital manufacturing teams: Need an edge in the race to Industry 4.0? The secret isn't deploying more AI use cases, it's connecting them. From predictive maintenance to yield optimization to production quality control, Dataiku can help you scale to 15+ interconnected use cases (including GenAI and AI agents) where every sensor, system, and process feeds insights into the next. Download the Digital Manufacturing AI Use Case Playbook to unlock your competitive advantage: https://lnkd.in/eENcphA7

We build the platform. You bring it to life. Thank you to everyone building what’s next with Dataiku. 🫶

At FLOA, every team works together under the same secure standards and workflows. With over two million funding requests a month and 100-millisecond decision times, efficiency and control are essential. Sébastian Robert, Chief Transformation Officer, turned to Dataiku to move beyond deployment, using full MLOps to manage and retrain 40 live algorithms through a collaborative, easy-to-use interface. Dataiku is now core to FLOA’s AI strategy, enabling real-time, responsible decisions at scale. Read more: https://lnkd.in/e4gmgS7G #MLOps #Governance

Yesterday from the Bloomberg Europe desk! As Adopt AI Paris opened, our CEO & co-founder, Florian Douetteau joined Daybreak Europe to talk about what’s accelerating and holding back enterprise AI adoption. For many, the hesitation comes down to trust: • Will AI actually perform? • Can we avoid vendor lock-in? • And will it scale with our business, and on our terms? 🎥 Watch the full interview: https://lnkd.in/e8bsx9ft

The build vs. buy debate for AI agents is changing. Speed matters, but so does shaping agents with your own processes, human intelligence, and the way your business actually works. That’s where the real value comes from, as noted by Catalina Herrera below. But our new "Global AI Confessions Report" shows why this balance is getting harder: Even as adoption skyrockets, trust, explainability, and oversight aren’t keeping pace. To see what data leaders are really wrestling with behind the scenes, check out the full survey report: | https://lnkd.in/epV7pPTX | #AIConfessions #AIAgents

Agents are everywhere in today’s AI conversations, but what actually makes something an agent? In this new piece, we break it down simply: -What an agent is -How agents differ from workflows -A practical framework to identify real agent use cases -The 5 characteristics that define every agent Read the full article to get started: | https://lnkd.in/e9zwXhcU | #AIAgents #AIAgentUseCases

Daily operations. Governance. Security. Innovation. CIOs own all of it. In Season 3 of our AI&Us web series, Catella CIO Martin Johanson explains why shifting resources toward transformation is both risky and essential. Pair it with this report in partnership with The National CIO Review® to learn how strong governance can prevent security and compliance gaps, how to simplify AI stacks, and what separates true AI leaders from the rest. #GenAI #CIOs https://lnkd.in/eTpiKgBP

Multi-agent AI looks simple from the outside, but behind the scenes? It’s a maze of routing decisions, memory management, failure recovery, and cross-platform communication. This quick visual tour shows the hidden operational dance underneath every multi-agent workflow. Dive into the full architecture with the complete infographic: | https://lnkd.in/eQBX4z7F | #AIAgents #AgentOrchestration

More agents. Bigger bets. Higher stakes. But with shaky explainability — only 5% of data leaders say AI outputs are always traceable — the landscape is full of contradictions. Our "Global AI Confessions Report," based on a Dataiku/Harris Poll survey of 800+ data leaders, breaks down the reality behind the hype. Preview the findings below or get the full report here: | https://lnkd.in/eb2i_bjg | #AIConfessions #AIAgents