Kevan Yalowitz
👤 PersonAppearances Over Time
Podcast Appearances
Exactly. Which I would argue is why there's actually, this is a good news story for many employees because in many cases, it means they're going to be able to have a force multiplier on their impact, but they're going to have to make sure that those interns, if you will, get the right direction and can be nudged the right way when something goes wrong or they enter unknown territory, right?
I would say that's right.
I would say that's right.
I would say that's right.
So we talk a lot about top down versus bottom up. And I think in this case, what we're seeing is that in order to bring in material change, change, right? Where we say we are going to use an agentic architecture, we're going to use a Vertec agentic architecture to completely rethink our marketing workflows, as an example.
So we talk a lot about top down versus bottom up. And I think in this case, what we're seeing is that in order to bring in material change, change, right? Where we say we are going to use an agentic architecture, we're going to use a Vertec agentic architecture to completely rethink our marketing workflows, as an example.
So we talk a lot about top down versus bottom up. And I think in this case, what we're seeing is that in order to bring in material change, change, right? Where we say we are going to use an agentic architecture, we're going to use a Vertec agentic architecture to completely rethink our marketing workflows, as an example.
That's not something that you really can do from a bottom-up approach, right? It requires exposing sensitive company data that your CIO is signed off on, and frankly, exposing the internal workings of a company at a level that you wouldn't really want to happen bottom-up, right?
That's not something that you really can do from a bottom-up approach, right? It requires exposing sensitive company data that your CIO is signed off on, and frankly, exposing the internal workings of a company at a level that you wouldn't really want to happen bottom-up, right?
That's not something that you really can do from a bottom-up approach, right? It requires exposing sensitive company data that your CIO is signed off on, and frankly, exposing the internal workings of a company at a level that you wouldn't really want to happen bottom-up, right?
So we think that the top-down approach is kind of a requirement to do some of this big instantiation, particularly of agents into workflows. However... We also think that having a bottoms-up approach and allowing your teams to have the wherewithal with the right sort of privacy boundaries to play with new AI tooling can actually surface some really exciting things.
So we think that the top-down approach is kind of a requirement to do some of this big instantiation, particularly of agents into workflows. However... We also think that having a bottoms-up approach and allowing your teams to have the wherewithal with the right sort of privacy boundaries to play with new AI tooling can actually surface some really exciting things.
So we think that the top-down approach is kind of a requirement to do some of this big instantiation, particularly of agents into workflows. However... We also think that having a bottoms-up approach and allowing your teams to have the wherewithal with the right sort of privacy boundaries to play with new AI tooling can actually surface some really exciting things.
And I'll give you just a couple examples. Like there's a company out of Seattle called Read AI. And there's a lot of transcription services out there, but Read actually allows you to like look at someone's sentiment in a meeting and understand how engaged they are, come away from that meeting with a clear set of action items.
And I'll give you just a couple examples. Like there's a company out of Seattle called Read AI. And there's a lot of transcription services out there, but Read actually allows you to like look at someone's sentiment in a meeting and understand how engaged they are, come away from that meeting with a clear set of action items.
And I'll give you just a couple examples. Like there's a company out of Seattle called Read AI. And there's a lot of transcription services out there, but Read actually allows you to like look at someone's sentiment in a meeting and understand how engaged they are, come away from that meeting with a clear set of action items.
That is something that top down inserting into someone's workflow is going to be challenging, but enabling folks to use that bottom up and then rolling it out further once they, you know, once there's critical mass, we think it's interesting. So I think it's really, you got to go from both ends.
That is something that top down inserting into someone's workflow is going to be challenging, but enabling folks to use that bottom up and then rolling it out further once they, you know, once there's critical mass, we think it's interesting. So I think it's really, you got to go from both ends.
That is something that top down inserting into someone's workflow is going to be challenging, but enabling folks to use that bottom up and then rolling it out further once they, you know, once there's critical mass, we think it's interesting. So I think it's really, you got to go from both ends.
You're spot on. And it's interesting, like if we go back to our data that says two thirds of two thirds of Internet users have at least some exposure to to Gen AI and half of them are using it weekly. People are using it in their jobs, whether you like it or not.