Dataiku

Introducing Dataiku, the Platform for AI Success. Getting AI into production means aligning teams, operations, and governance around a single way of working. Today, we’re introducing three new products built to do exactly that. dataiku.com/stories/blog/p…

AI coding tools generate code, but enterprise AI needs more than that See how Dataiku Cobuild on Snowflake helps turn natural-language business intent into visual, enterprise-ready AI workflows, where your data already lives: dataiku.com/stories/blog/d…

Building sophisticated AI agents requires solving three problems: 1. Data 2. Control 3. Trust Dataiku E2A is built for real decisions, on real data, at enterprise scale. It helps organizations turn business expertise into governed AI agents. #AISuccess dataiku.com/product/expert…

AI adoption is one thing, trusting it with high-stakes decisions is another. See what enterprise leaders are weighing in 7 career-making AI decisions for CIO: bit.ly/4wmFTPQ #CIODecisions #AIGovernance

AI coding tools changed dev. Cobuild on Snowflake goes further—turning business intent into governed AI workflows, right where your data lives. Speed meets governance. dataiku.com/product/cobuil…

Everyone’s building AI agents. Very few are building agents that can turn domain expertise into real business decisions. That’s the gap between demos and enterprise value. Dataiku E2A is built to close it. Learn more: | dataiku.com/product/expert… | #AISuccess

AI strategy used to win budget — now it has to survive scrutiny. What happens when leadership asks for evidence, not enthusiasm? Decision 7 explores the shift reshaping AI budgeting in 2026. Read more: bit.ly/42ycoNt #CIODecisions #EnterpriseAI

Everyone’s building AI agents. Very few are building agents that actually understand the business. That’s the gap between demos and enterprise value. Dataiku E2A is built to close it. Read more: dataiku.com/stories/blog/e… #AISuccess

74% of CIOs already regret a major AI vendor decision from the last 18 months. 98% say board pressure to prove ROI is up since 2024. The seven decisions that separate the CIOs who survive 2026 from the ones explaining what went wrong: bit.ly/4tRvBpj #CIODecisions

AI isn’t a tech bet anymore, it’s a career bet. → 4 in 5 CEOs say their job is on the line → No “silver bullet” for making AI work The gap? Execution, not models. More from Dataiku’s CEO, Florian, in Forbes 👇 bit.ly/3RlT1EQ

80% of CEOs say their job is on the line if AI fails. Not in theory. By the end of this year. Don't miss the 5 AI confessions shaping CEO leadership in 2026 in this just-launched report, based on a Dataiku/Harris Poll survey of 900 global CEOs: | pages.dataiku.com/global-ai-conf… |

The AI bill is due. And it’s being paid in credibility. 74% of CIOs regret a major AI vendor or platform decision. 85% say lack of traceability is already blocking AI projects from reaching production. AI isn’t failing because no one can explain it. bit.ly/4cKg4Si

AI budgets now come with a deadline. And ROI expectations. Jed Dougherty explains why that pressure is pushing governance beyond data and models to the workflows around approval, audit, and cost control. More here: pages.dataiku.com/cio-ai-decisio… #CIODecisions

Tickets stuck. No answers. Escalate. Repeat. If that’s your IT org, you don’t have a tooling problem, you have a knowledge problem. Here’s how Geodis fixed it with an AI agent: → 60% faster ticket assignment → ~30 min saved per ticket dataiku.com/stories/detail…

What if your biggest AI risk is already inside your business? 82% of CIOs say employees are building AI faster than IT can govern, 54% have already found unsanctioned use. See the key findings from our new report, based on a survey of 600 enterprise CIOs: pages.dataiku.com/cio-ai-decisio…

If your AI strategy still looks like a demo, you’re already behind. 74% of CIOs regret recent AI vendor or platform bets from the last 18 months. The problem isn’t the tech. More from our CMO on what actually works: bit.ly/3QBDDUz

Employees are already putting sensitive data into AI tools, and companies can’t control it. We built Kiji Privacy Proxy™ to fix that: → PII never leaves your environment → Works with external AI models → No workflow changes Available now: bit.ly/4cR6Nqo

The CIOs who designed for model optionality have a clean answer for the boardroom when asked about AI cost and performance. The Decision 5 of 7 breakdown from our research with The Harris Poll: bit.ly/4vRkKgq #CIODecisions #EnterpriseAI

90% of CIOs say their career trajectory will be shaped by their success with AI. In this clip, Jed Dougherty outlines how that reality is redefining the CIO role as expectations shift. For more findings like these, read the full report: pages.dataiku.com/cio-ai-decisio… #CIODecisions

AI isn’t in a bubble, but plenty of AI strategies are. In our survey of 600 CIOs, 73% say their company would face major disruption if an AI bubble bursts. In this clip, Jed Dougherty gets into what it takes to make AI stick. Get more in the full report: pages.dataiku.com/cio-ai-decisio…

Is fine-tuning driving business impact, or just improving benchmarks? Join our next webinar to learn when fine-tuning matters, how to combine evaluation, RAG guardrails, and governance to build trusted systems that deliver AI success: | meet.dataiku.com/webinar-fine-t… | #AI