Nate Lanxon (NLW)

And since so many people are already consuming things like this show and mediums like this, I want to start experimenting with ways that we can use this podcast feed to nudge towards that sort of more educational, informative type of stuff without going full kind of online course.

And so this series is a little bit of that.

It's also rooted, as you're going to tell us, in some of the other work that we do together.

So maybe just kick us off.

Let's dive in.

You're going to be basically in the sort of instructor seat today

We'll go through this and then we'll have a conversation on the other side of it.

All right.

Awesome stuff.

It would not be a presentation for the enterprise without a fun acronym, right?

Right.

Absolutely essential.

So this is super helpful.

I love this framework.

There's a couple pieces of this that I think are the ones that stand out most to me that get amplified not only over and over again in the interviews that we do, but also when I'm having individual conversations with companies, be they super intelligent customers or

AIDB listeners.

And one that I think is really interesting is this leadership question.

I find myself very frequently in keynotes and speeches and things like that, bringing it back to this leadership question because it is at once the most inescapable part of this, but also the one that leaders have ultimately the most control over.

And I think what's interesting is that

Leadership can make mistakes as relates to AI strategy in two totally different ways.