Dataiku

Dataiku is the Platform for AI Success, connecting AI agents, data, and models so enterprises can build, deploy, and govern multi-vendor AI systems.

[Dataiku @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.

https://t.co/SYITN88AfA

[Dataiku @dataiku]

5 years in a row. 🏆

Dataiku has been named @Snowflake's 2026 Product Partner of the Year – AI Platform.

The reason? Helping enterprises move from AI pilots to governed, production-scale AI.

Thanks to Snowflake and our joint customers.

[Dataiku @dataiku]

Join Dataiku's Kurt Muehmel and Jen Loukes from The Harris Poll for a live conversation on what 900 CEOs revealed about AI pressure, proof, and performance: | https://t.co/PMB9SiYTq0 | #CEOAIConfessions

[Dataiku @dataiku]

We’re excited to welcome Maxwell Long to Dataiku as President & CRO.

Max brings decades of experience scaling global software organizations, and his addition will help us power the next phase of global growth across sales, customer success, and partnerships.

[Dataiku @dataiku]

On Thursday, June 4th: Master your #FrontrunnerAwards submission! 🏆

Join our live workshop to learn the "Winning Formula" for your AI use cases. Attendees receive 1:1 coaching from our Business Transformation.
Secure your spot: https://t.co/pvXqhql0us

#Dataiku #AI #Agents

[Dataiku @dataiku]

Most enterprises can tell you which AI models they've deployed. Far fewer can account for the shadow AI their employees built this quarter — agents, apps, automations. Decision #6 for CIOs in 2026: https://t.co/W1P1E1TZ4y #CIODecisions

[Dataiku @dataiku]

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: https://t.co/ac0U9TeeUR

[Dataiku @dataiku]

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

https://t.co/lUXlPUW57i

[Dataiku @dataiku]

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: https://t.co/Dls7NEH09s #CIODecisions #AIGovernance

[Dataiku @dataiku]

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.

https://t.co/5nLZAF4cFb

[Dataiku @dataiku]

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: | https://t.co/lUXlPUW57i | #AISuccess

[Dataiku @dataiku]

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: https://t.co/EeCysHVYsR
#CIODecisions #EnterpriseAI

[Dataiku @dataiku]

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: https://t.co/xwuYtdcc27 #AISuccess

[Dataiku @dataiku]

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: https://t.co/0ZUs8iFwG9 #CIODecisions

[Dataiku @dataiku]

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 👇
https://t.co/J9npLHB4H5

[Dataiku @dataiku]

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: | https://t.co/Uu4k61YjwY |

[Dataiku @dataiku]

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.

https://t.co/SEX0Ajcdny

[Dataiku @dataiku]

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: https://t.co/HiaqwEIP2c #CIODecisions

[Dataiku @dataiku]

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

https://t.co/4on42W2rH9

[Dataiku @dataiku]

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: https://t.co/XryMTU9e6n

[Dataiku @dataiku]

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: https://t.co/d5G0mHFy5K