From Data Products That Matter (Florian Douetteau @Dataiku , Ep 77) · · It's About Data
“What I find interesting as a subset of agents and that we focus on in particular at Dataiku as I think we interesting and worth building is the category of agent that are semi-deterministic. Kind of like unclassified today all of those agentic categories. But in particular it's things such as procurement optimization or supply or building your marketing budget. This type of things where you need some form of determinism. It's not like an open clue doing project management that will run over the weekend hoping that you will get a smarter and smarter every weekend so that you can actually end up by planning your vacation. We're not talking about this type of agent. We're talking about an actual thing that can optimize a bit your procurement for which lots of practical rules needs to be in place.”
On , Florian Douetteau, Cofounder at Dataiku, spoke about agentic AI during Data Products That Matter (Florian Douetteau @Dataiku , Ep 77) on It's About Data.
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."
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