Brian Maucere

Why am I paying more for these Facebook leads or whatever, my logistics as a cruise port?

So that's also sort of like that second rung.

And that's where a lot of companies get to.

Now, the next two are the hard ones.

And I see this the same with AI as well.

Predictive.

What's likely to happen next?

So not why did the data happen in the past, but given that, how do I extrapolate into the future and say, this is where the dotted line leaves the graph?

It leaves the chart and tells me what might happen based on historical data and assuming statistic business plan models helps business decisions to automate using algorithms.

And then finally, the holy grail is the prescriptive.

And that kind of brings us back to the AI side of it.

And that's what to do next.

So I've got the data.

I understand why.

I understand what's likely to happen after it.

And now I've put a plan together on what to do next.

So it's the analytics and this is getting into algorithms and stuff like that.

So the reason I bring this up is because that bring us back that four part framework from business and data and data analytics and BI, I find to be very, very similar when we have these conversations about everything from agents, agents, swarms, everything else.

It's back to your point, Beth.

What is it that we're ultimately hoping that AI can solve for us?