Tableau's AI agent for proactive analytics insights

0:00I did not ask for this analysis.

0:03I did not go through every account.

0:05I did not compare usage history.

0:07I did not build a model.

0:09I didn't have to ask my account team.

0:11Tableau was looking out for me.

0:14An agent in the background brought together data from different sources, analyzed the different trends.

0:20Rand deterministic prediction models and statistics thinking about memory and personalization.

0:27This is not just a notification.

0:29It's a prioritized reason to act.

0:32In an ideal world, this is what all analytics looks like.

0:34Do nothing, have the right insights, land on your plate.

0:37So really the success of something like this isn't the idea.

0:40The success around this is

0:41How good is this tool at figuring out what's important for you?

0:45And then it needs to do it however many thousands of times there are people in your organization.

0:52Every single piece has to work like clockwork.

0:55The analysis it chooses, the things it spots, the way it tells the story, the way it drills into it, then the way it presents it to the user, then where it sends the message, then where the person takes action.

1:03And then when they come back, do they see that message or is the data moved on?

1:06And so they can't actually see the thing you alerted them.

1:09And if they see that, okay, you've gained one trust point.

1:12And then you go again.

1:13And it's only when you get like a number of those consecutive hit rates does the user then go, oh, this is actually really useful.