Meet the new Agent Hub in Dataiku. 95% of GenAI pilots don’t show ROI. Agent Hub changes that. A shared space to find, use, and create approved AI agents, ready to scale across business and IT teams alike. See how it works: https://t.co/DN8IwPZN5q

75% of AI leaders say trust in their AI agent deployments is a concern. In this clip, @fdouetteau tells CNBC’s @jonfortt why trust starts with understanding, and why the path there begins by having business users build the agents themselves. 🔗 https://t.co/wPaFhVyajX

"I'm sure Agent Hub is going to become my favorite Dataiku product." In a recent Dataiku interview, Gontran Peubez from Onepoint shared his favorite parts of Dataiku and highlighted some inspiring use cases from the partnership. Watch below for more details. #AIAgents

CIOs stand at the crossroads of AI success and risk. That's why leaders like Mark Goldberg, CIO of @BCLC, are building data and AI innovation hubs in order to move fast with GenAI while keeping governance front and center. Hear more in AI&Us season 3: https://t.co/J5oRZCsWF2

“The first layer of trust [in agentic AI] is actually to be able to understand how it works and the only way… is to have people in the business building it.” — @fdouetteau on CNBC’s Fortt Knox w/ @jonfortt Watch 👇

A new milestone for Dataiku in healthcare innovation. We’ve achieved the AWS Healthcare Software Competency in Health Administration, helping healthcare, pharma & biotech orgs scale responsible AI and protect patient data. 🔗 https://t.co/Zd1SnhaJeg

📣 Jed Dougherty, Head of AI Architecture at @dataiku joins Day 2 at #TEDAISF25 He architects end-to-end AI platforms across @awscloud , @Azure & @gcpAppliedTech, working with @Snowflake , @databricks & @nvidia to scale responsible, governed AI Apply: https://t.co/s42VistGzH

As AI agents multiply, the problem isn’t building them, it’s connecting them. That’s where Agent Hub comes in. This is not just another workflow builder. Agent Hub is the future of enterprise agents. Learn more here: | https://t.co/5I80tvipHu | #AIAgents #AgentHub

AI could prove CIOs’ worst tech debt yet. In @CIOonline, Kurt Muehmel warns: agents are spinning up across teams with no oversight or alignment. Read the full article to see how CIOs can avoid the mess: https://t.co/6Pe03NVX4Q

What’s YOUR biggest AI confession? We asked that live at SF @TechWeek_ by a16z during our panel with @NVIDIA, after revealing the Global AI Confessions: Data Leaders Edition. See what 800+ data leaders confess: https://t.co/94GfmydRHI

Is agent sprawl the new IT sprawl? Too many AI agents without purpose add chaos, cost, and risk, instead of ROI. Controlled agents scale what works, deliver measurable impact, and make AI predictable. What’s your biggest AI agent headache?

“Companies just need agents to work.” With their data. Their tools. Their platforms. @fdouetteau discusses his thoughts with @kristinaayanian on @Nasdaq’s Live from MarketSite. Watch the full video: https://t.co/3pskj3UXmC

95% of data leaders say they can’t fully trace AI decisions. At SF @TechWeek_ by a16z, we dropped the "Global AI Confessions Report: Data Leaders Edition", with insights from 800+ data leaders on where agents deliver value, and where trust breaks down. https://t.co/egNq9cyRwR

Jed Dougherty of @dataiku and Nik Spirin of @NVIDIA dive into a #SFTechWeek fireside chat about how to fix some of AI’s toughest performance gaps 💪

Just launched: Agent Hub in Dataiku. A collaborative workspace for enterprise-grade AI agents that gives business teams the freedom to innovate and IT teams the ability to maintain control. Register for the live demo: | https://t.co/3jqDJSs4aS | #AIAgents #AgentHub

“Trust issues” and AI envy? 👀 Jed Dougherty & Kevin McLaughlin of @Dataiku break down The Global AI Confessions Report, based on 800+ data leaders. Top takeaways: – Trust is still the top challenge for AI agent rollouts. – Many execs think competitors are further ahead on AI.

AI agents are mission-critical, but most orgs aren’t ready. The new "Global AI Confessions Report: Data Leaders Edition," reveals the gaps in strategy, with trust, explainability, and governance lagging, and misalignment stalling real impact. 🔗 https://t.co/egNq9cyRwR

Teams across industries are using agents to improve research, procurement, and sales workflows. At @Nasdaq’s Live from MarketSite, CEO and co-founder Florian Douetteau explored how that shift is playing out inside the enterprise. Full interview: https://t.co/3pskj3UXmC

AI agents ≠ apps. Evaluate them wrong → drift, risk, wasted spend. The fix: A new framework built on reasoning, trust, scale, and business value. Read here: | https://t.co/iexPoSfF8E | #AIAgents

Most marketing analytics teams are stuck with disconnected point solutions. Dataiku gives you one marketing analytics use case ecosystem, turning scattered data into a scalable AI engine. Grab the marketing analytics AI use cases playbook: https://t.co/otThg0OFs1