The best AI assistance meets you where you are. A chat window opens. A question surfaces. An answer comes back before momentum fades. That conversational experience is powerful precisely because it keeps insight close to the work. But there's a version of assistance that goes even further – one that
Most analytical journeys start the same way – with a question. When did we have the highest profit? Which customers are driving growth? What segment should we look at next? In traditional analytic workflows, turning those questions into answers often requires navigating menus, configuring visuals, writing calculations and interpreting results
For years in enterprise analytics, the focus was on capability. More data. Faster computing. Stronger models. Organizations have invested heavily in modern data platforms to close the sophistication gap. That gap is largely closed. What hasn’t closed is the execution gap. Platform teams are discovering something: even in highly mature
