Robyn FuentesGuest
Thom SingerHost
So I brought you here today because we were going to talk a little bit about how companies kind of of all sizes, I mean, you guys obviously work with larger, mid-sized, larger and to larger companies, But really, companies of all size, how can they prepare for what's going on in the world of AI and how it's impacting everybody with teams that have to move faster, teams that are going to be smaller, and what AI really means downstream to the impact that they're going to have and how they stay ahead? So you're talking to a lot of people throughout the state all the time about how they're implementing, how it's having an effect.

So what are some of the projects that you've worked on that we can kind of start to sort of go with where you say, this is what we're seeing in the field?

Yeah, we're doing a broad range of projects, whether it's everything from as complex as an ERP system to, you know, oil and gas management systems to monitoring and asset management systems.


But it doesn't stop there, right? Because now technology has kind of entered the realm of everybody's job.

How in the world am I supposed to learn how to automate my entire job? So I've seen a broad range of things.

I've seen projects go where the cost of tokens is more expensive than the benefit they get out of going faster.

seen some where they're going 6x faster and seeing that value way faster than would have been previously imaginable and everything in between.

And up training that entire set of people over a span of an intensive 12-week program and seeing all of the good, bad, and ugly that happens inside of that when people are trying to adopt, whether it's individually or organizationally.

So I brought you here today because we were going to talk a little bit about how companies kind of of all sizes, I mean, you guys obviously work with larger, mid-sized, larger and to larger companies, But really, companies of all size, how can they prepare for what's going on in the world of AI and how it's impacting everybody with teams that have to move faster, teams that are going to be smaller, and what AI really means downstream to the impact that they're going to have and how they stay ahead? So you're talking to a lot of people throughout the state all the time about how they're implementing, how it's having an effect.

So what are some of the projects that you've worked on that we can kind of start to sort of go with where you say, this is what we're seeing in the field?

Yeah, we're doing a broad range of projects, whether it's everything from as complex as an ERP system to, you know, oil and gas management systems to monitoring and asset management systems.


But it doesn't stop there, right? Because now technology has kind of entered the realm of everybody's job.

How in the world am I supposed to learn how to automate my entire job? So I've seen a broad range of things.

I've seen projects go where the cost of tokens is more expensive than the benefit they get out of going faster.

seen some where they're going 6x faster and seeing that value way faster than would have been previously imaginable and everything in between.

And up training that entire set of people over a span of an intensive 12-week program and seeing all of the good, bad, and ugly that happens inside of that when people are trying to adopt, whether it's individually or organizationally.
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