THE FOURTH WAY

AI FOR BI ISN’T DELIVERING ON ITS PROMISES.

Artificial intelligence has exploded across the analytics landscape. You can count the number of BI vendors that don’t promise AI capabilities on the fingers of one hand. Nearly every vendor now offers some form of “AI for BI.”

Some lead with chat interfaces. Others promote automated insights or recommendation widgets. A few have scattered AI features across dashboards, preparation tools, and visualization modules. Almost all of them emphasize AI prominently in their messaging.

For all their differences, these approaches share a common pattern: AI is  layered on top of an existing analytics system, rather than designed into the analytical foundation from the start.

The underlying architecture remains unchanged, and AI is added where it is most convenient to attach.

This design choice has consequences for users.