Lacey PicazoGuest
Shannon PeaveyHost
We're really excited to talk to you too, because healthcare is just different from some other verticals.

So first off, why has healthcare become such an important and complicated area for the application of AI?

Well, Shannon, I'll start with why I think it's become a key place that companies and leaders are focusing energy and trying to transform this space.

Like the number of times I've read the line, healthcare is broken over and over, right? So this seems like a prime opportunity.

Now on paper, that means this is a key area where you want to apply more automation, a key area where AI can solve really big problems.

It's just not as simple because what I found in my history building in healthcare is making the thing is different than getting somebody to use the thing.

And AI can sometimes get in the way, not always, but if applied incorrectly or poorly or not thoughtfully, it it can be more challenging to get to the actual adoption piece that makes this technology useful and usable in healthcare.

Are there fundamentally differences in the aspects of these applications that make it different from other areas?

Yeah, I think a lot of healthcare, Shannon, is about workflow, especially if we're talking about B2B audience, right? A clinical audience or some sort of specialists who's doing a task.

And a lot of times those workflows, it's not as simple as if you're thinking about consumer products.

We're really excited to talk to you too, because healthcare is just different from some other verticals.

So first off, why has healthcare become such an important and complicated area for the application of AI?

Well, Shannon, I'll start with why I think it's become a key place that companies and leaders are focusing energy and trying to transform this space.

Like the number of times I've read the line, healthcare is broken over and over, right? So this seems like a prime opportunity.

Now on paper, that means this is a key area where you want to apply more automation, a key area where AI can solve really big problems.

It's just not as simple because what I found in my history building in healthcare is making the thing is different than getting somebody to use the thing.

And AI can sometimes get in the way, not always, but if applied incorrectly or poorly or not thoughtfully, it it can be more challenging to get to the actual adoption piece that makes this technology useful and usable in healthcare.

Are there fundamentally differences in the aspects of these applications that make it different from other areas?

Yeah, I think a lot of healthcare, Shannon, is about workflow, especially if we're talking about B2B audience, right? A clinical audience or some sort of specialists who's doing a task.

And a lot of times those workflows, it's not as simple as if you're thinking about consumer products.
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