Turn Company Knowledge into Value with AI | Brian McWhorter | EP20

You really did.

Now, this is a great example, but this came before your later AI work that you do today.

So what can you do today that you couldn't do then? I mean, you really started seeing things and now you got a whole new set of tools.

Right.

So what I like to say is we have two ingredients to our secret sauce.

The first ingredient is what I just kind of explained crudely there.

We take different types of file formats.

We've built transformers to turn those into data sets.

And once it's in that data state, now it's somewhat homogenized.

And that's ingredient one.

Ingredient two is Then we take and we use our engineering knowledge from the team of engineers that I've had with me the whole time, and we put enough information around those individual elements so that even though they're homogenized, the large language models are able to navigate and find where they are.

And because they go to the same place in the database every time, regardless if it came from an offshore oil rig or a pharmaceutical plant, or an oil refinery, it does not matter.

They always went to the same place every time.

They always got that same piece of context, that engineering knowledge every time.

So now, Cloud or OpenAI, Codex, whatever large language model you might want to use, can always connect to that and find that information that it needs every time.

And that's where we've really turned the corner from being just a bunch of data that allows us to do our job a little bit better to now we're able to start solving problems that would otherwise require a lot of human effort, a lot of, you know, a lot of dedicated human time to do it.