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Bioinformatics

From BI to AI Analytics: What the Transition Actually Looks Like in Practice

In most mid-market companies, the BI half of the picture is the part that's settled: the dashboards refresh overnight, the Monday reports land in inboxes, and there's a tidy stack of SQL behind every figure on screen. What's new is the pressure coming from above to bolt AI onto all of it, and somewhere between the board deck and the budget meeting, the jump from "we have dashboards" to "we have augmented analytics" starts to sound like a far bigger lift than it turns out to be.

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