there like i said a lot of orgs have started with this decentralized ops team now we've moved into consolidating centralized things into revenue operations i mentioned what we're seeing with ai when it comes to workflows agents automations things like that so my first question for you is just me or does it feel like history is repeating itself a little bit here and why yeah

it's interesting i definitely think like AI is so approachable.

That's what makes it so incredible.

It's the first time people finance people, people with finance backgrounds can do like really dangerous stuff like coding and things like that was never accessible to us before.

So that's awesome, right? And I love that.

But then just because it's easy and approachable doesn't mean that that's where you should be spending your time, right? The problem is this is where it really, as I've been thinking about this a lot of how we're, I think, A good majority of companies, they've got either a license to cloud, open AI, you name it.

And then they just threw it out to the masses and said, here you go, right? So, which is great.

Asking you to get out your crystal ball a little bit here, but if you were to fast forward three years, what do you think will separate companies that have successfully scaled AI from those that haven't? What will the difference look like and what will the main reason be?

What do you think?

Oh, that's, uh, [inhales] that's pretty special.

So, um, they're the reason why I'm able to do what I do right now.

Um, their sacrifice means everything.

And, uh, yeah, they're, uh, they're the best.

Just the fact that they're here watching this in person, I mean, what does that mean to you?

Uh, I mean, flying east coast to Vegas in one day, or this morning, is, is a lot.

Um, it means a lot.