So I thought it would be a good place to start there, and would love to hear your perspective on, you know, when we think about, uh, semantics, and especially AI readiness in this day and age, in light of organizations, especially at Adobe, your experience, what are some of the biggest challenges you see that make it hard to make knowledge accessible or usable, both by humans and AI?

Yeah.

When it comes to semantics, I think it's really about understanding the relationships in the organization.

You know, Adobe is a very large matrixed organization where we work across boundaries, you know, between departments, and there's a lot of hidden knowledge underneath all of the organizational structure and processes that go on.

So you can have a knowledge article exposed to somebody, but it may not be personally relevant to them as an employee because they're in a specific region in the world, they have a specific situation they're working within, in a specific department.

And so if we don't understand how all of this information and knowledge relates to that person, we're not serving up the right thing.

And so historically, when people have searched our internet, they found a lot of information that maybe wasn't relevant to them, so they had to wade through that.

But I think we all know that AI can only be as useful as the knowledge and context it has, right? So what does AI-ready knowledge mean to you, especially in practice, as you're pushing this human experience as being a big part of it?