Alon Cohen

It,

The ability to just know there's blue tape on the blue fighter's wrists and red tape on the red fighter's wrist.

And we've gotten to the point now where skeletal tracking and computer vision is able to identify people by that and also take additional notes.

That dude's in green shorts and that dude's in yellow shorts, right?

And it'll do those kinds of things to just figure out who's who.

And the hardest thing for a computer vision system to do as it does motion is when we become the eight-legged beast and we come apart.

It can know that we're purple, right?

We're red and blue at the same time.

But when we come apart, it has to rapidly understand who's red and who's blue again.

That's where a lot of these motion systems had a lot of difficulty.

Ref's in black, pretty easy to figure out, like somebody who's dressed in black, head to toe.

I can give you a little more detail on how it happens.

I think that the beauty of unpacking how AI works is there are moments of magic and moments of drudgery, and they have to work perfectly together.

AI, the data comes in to IBM, and it has a storage system called Iceberg, and it runs a classic data process called ETL.

It's extract, transform, load.

We care about our data at the fight level or the round level.

IBM is trying to tell us things about our fighters.

So it is consolidating all of its information in these big fighter tables that it can then stick the AI on.

And then the data moves from this ETL iceberg level up a level.

They actually, I think they do it by metals.