Critical Mass Business Talk Show | Dr. Gleb Tsipursky, CEO of Disaster Avoidance Experts (Episode 1617)

So Gleb, some people may be thinking, well, you know, we're kind of in the early, aren't we still kind of in the early days of AI adoption? And is it reasonable to think that maybe organizations are still learning how to bring this new technology and innovation in? I mean, you mentioned during the live webinar that companies should not think of AI adoption using the traditional rigid software adoptions of the past.

Does that help to explain why the early results of AI adoptions are not proving to have an ROI?

Exactly right, Rick.

So this is the problem that middle market leaders tend to think about AI as an IT project.

So they delegate AI adoption to IT.

IT has, of course, the natural traditional approach to AI.

Technology adoption.

Let's say you're adopting a database, like let's say a CRM, customer relationship management software.

You need to have a top-down approach where everyone uses it in a standardized way.

So you roll out standardized operating procedures.

You train people on these standardized operating procedures.

There's some resistance to change, which comes from learning a complex new system and changing habits.

but eventually overcome them because the goal is compliance.

And you can measure whether people are actually putting information into a CRM in the right manner.

Of course, you get value from people using the CRM in the right manner in the same way.

So you could segment your customers, direct your messaging to them effectively.

That doesn't really work with AI.

AI is artificial intelligence.

What's human intelligence? What do we bring to the table? We are essentially biological machines.

We process information based on training from past patterns, past events.

We interact with new information.

We make decisions.

We produce output.

That's our brain, biological.

AI does that using silicon.