Right? If you go back

back10 years ago, people build a business logic.

If this is happening, and this is happening, this is happening, do X. That's very predictable.

If you put a XGBoost in the loop, and you have a 20-dimensional space that's trying to predict something, that's classic AI.

It's deterministic.

The same input always generates the same output, but it's still probabilistic from a human point of view because you didn't put the rules.

It's a black box.

Yes.

So tell us a bit more about this large experience model, right? Like what is different about the experience part, I guess?

Yeah, I mean, so the large experience model started with the same concept of large language model.

You know, large language models, we're trying to predict, you know, the next word in a sentence or something.

Large experience models, we're trying to predict the next minute of a video collaboration user experience.

So that's what Jose said.

This model has been trained on billions of Zoom Teams session minutes, right? And now we've gotten to the point where if you look at that line to cloud user experience, It's usually client features, wireless features, switch features, and WAN features, right? We're trying to figure out what part of that puzzle is breaking out.

And that's when we talk about Marvis minis.

model? All the stuff that happened before GPT-2 came out.

It's not trained on humans putting business logic, right? If you go back

back10 years ago, people build a business logic.

If this is happening, and this is happening, this is happening, do X. That's very predictable.

If you put a XGBoost in the loop, and you have a 20-dimensional space that's trying to predict something, that's classic AI.

It's deterministic, for the same input always generates the same output, but it's still probabilistic from a human point of view because you didn't put the rules.

It's a black box.

20-dimensional space, nobody of us could think of 20-dimensional space, and it spits out, like, your application was happy, your application was not happy, and why it was not happy.

Yes.

What does AI mean, and what does AI look like in 2026?

Yeah.

So the first thing I always tell people that the AI is not like a model or an algorithm.

AI is the concept of doing something on par with a human that takes cognitive reasoning skills.

So AI is kind of in the eye of the beholder.

Is that AI or just fancy automation? I would tell you an interesting story.

The other day I called up the hotel to get my invoice for my expense report.

What should an organization be doing to best prepare themselves to be AI ready?