According to a recent LinkedIn post from Dataiku, the company is highlighting how its AI agent technology is being used by European exchange operator Euronext to support market share analysis. The post describes a prior workflow where day-to-day questions reportedly required manual data pulls and ad-hoc requests to a small group of analysts.
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The post suggests that, with AI agents built in Dataiku, Euronext business teams can now query data directly and receive what are described as trusted answers more quickly. According to the content, this setup is helping save analysts up to 20% of the time previously spent on recurring market share queries, with a linked case study detailing the “trusted analytics agent” implementation.
For investors, this example points to Dataiku’s efforts to position its platform for high-value, time-sensitive analytics use cases in financial markets infrastructure. If replicated across similar large enterprise clients, such productivity gains could support Dataiku’s enterprise adoption, underpin recurring software revenue, and strengthen its competitive position in AI-enabled analytics for capital markets and other data-intensive sectors.