Cofounder, Dataiku
HumanX 2026: Dataiku CEO Florian Douetteau on AI + Brand Refresh
About Florian Douetteau
During appearances in April and June 2026, Florian Douetteau discussed Dataiku's focus on "semi-deterministic" agents for enterprise use cases such as procurement optimization, supply chain management, and marketing budget allocation. He described this category as requiring "some form of determinism" rather than open-ended exploration. Douetteau stated that Dataiku launched three new products, including an agent management tool designed to "observe and manage agent at scale," and said that many customers already run "dozens to hundreds of agents" and need to assess whether those agents are delivering business value. Douetteau argued that "creating stuff is no longer a limit" for enterprises and emphasized the importance of governance, saying "if you give power to more people, you also need to raise the stake in terms of control." He asserted that "the risk for many organization is to be left behind" if they do not transform core workflows with AI. Regarding CIOs, Douetteau described them as "stuck in between board that want AI to happen but at the same time are worried about AI risk," and said that this represents "a make or break moment" where CIOs can either lead AI transformation or be replaced by "AI first CIOs."
Transcript (19 segments)
✨ AI-enhanced transcript with speaker attribution
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Florian Douetteau0:00
I think that the risk for many organizations is to be left behind. And the reason why they need to focus on their core workflows, their core processes and transform them rapidly with AI is because if they don't do that, they will be displaced by others very rapidly.
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Interviewer0:18
AI is taking center stage at the 2026 Human XAI conference in San Francisco and the NYC is a partner. Joining me now is the CEO of Dataiku, Florian Douetteau. They just got a brand new refresh. Florian, welcome.
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Florian Douetteau0:33
Thanks for having me.
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Interviewer0:35
All right, so tell me more about this new refresh for Dataiku.
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Florian Douetteau0:40
Yeah, we launched earlier this year our platform for AI success, pushing to the market what we're doing with the largest enterprises on the planet because indeed they are accelerating their adoption of AI and they are using our platform in order to just help them with the scale of it.
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Interviewer1:00
And how does Dataiku work with large enterprise organizations?
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Florian Douetteau1:04
Large enterprises struggle in terms of understanding how they should scale AI. And it's not just about figuring out the use cases, it's become the easy part. Like everyone is finding value in AI, but you've got the people angle, the orchestration angle, and the governance angle. And AI can fail across all each of those dimensions. Like you don't actually have the right people to help you build AI, you don't know how to orchestrate and combine all of those fast-moving AI technologies, and also do you govern AI or do you manage the risks that are the big struggle they have.
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Interviewer1:37
So who are some of your customers and when they work with Dataiku, what is that process like? Are you walking them through this large-scale implementation?
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Florian Douetteau1:46
Our customers are large organizations like the Novartis, the BNP, the Standard Chartered banks of the world, like large banks, large manufacturers, large pharma companies. And they use our platform to enable their people to actually build agents by themselves, or they connect the data, the technology, all of the LLMs they can have, and their business use case and use their business expertise in order to translate their existing business process into an agent connected to their data and to the best and latest LLMs. And we orchestrate all of that through our platform.
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Interviewer2:20
And in addition to the refresh, I also understand that you launched three new products. Can you tell us more about those?
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Florian Douetteau2:26
We launched three new products: data cataloging, system, and agent management. Agent management in particular is a new product enabling to observe and manage agents at scale. Many of our customers already have dozens to hundreds of agents and their question is: are they doing the job? Are they actually working? Do they actually derive business value? And we are building this product to help them figure that out because you're today struggling as an organization sometimes to manage people. Tomorrow it will be about managing agents.
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Interviewer3:02
And how are these organizations using agents? What are some of the use cases that you're seeing?
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Florian Douetteau3:07
They use agents, and in particular agents built on Dataiku, to make their business more efficient. We focus on agents that are about those back-office and operational functions where the money, where the efficiency really is. Or do you optimize your supply with agents and make all of those lengthy processes faster? Or do you optimize your production operation as a manufacturer and make sense that you've got all of your assets up and running on time? Or do you optimize your credit risk operation as a bank and make sure that you cut through the red tape and optimize lots of reporting processes. So it's about all of those lengthy, heavy processes, very human-intensive where you have to manage all of the data and you spend lots of money and resources making that happen. Those are the use cases happening today.
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Interviewer3:56
And I understand that earlier this year you launched your seven career-making AI decisions for CIOs in 2026. Tell me more about that.
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Florian Douetteau4:04
Yeah, meaning we've seen that CIOs are struggling with AI because they are kind of like stuck in between a board that wants AI to happen but at the same time are worried about AI risk, and people in the business that want to purchase and get things done but also may not be fully aware of what are the technologies, the risks, or the constraints. So for CIOs, it's a make-or-break type of moment. They either can be the ones that are saving the day and their organization transforms themselves with AI and become more than a CIO, or they can be replaced by AI-first CIOs that will capture the moment. 20 years ago, at the advent of cloud, you had a new generation of CIOs that were the people that moved their company to the cloud. Now you may have a new generation of CIOs that will be the ones that will be moving their company to AI. And so it's a make-or-break moment for them.
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Interviewer4:56
So do you think it's get with AI or maybe get left behind?
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Florian Douetteau5:01
I think that the risk for many organizations is to be left behind. And the reason why they need to focus on their core workflows, their core processes and transform them rapidly with AI is because if they don't do that, they will be displaced by others very rapidly.
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Interviewer5:13
All right, Florian Douetteau, CEO of Dataiku, thank you for joining us.
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Florian Douetteau5:18
Thanks for having me.