566: Agentic Dev of PBI Reports

Yeah, real quick here.

So this is from our friend from James.

Yeah, he's been in the game a long time and he's actually just started a new series is the first of three on

what does it mean to have data AI ready?

which I love this conversation because I don't know if anyone knows.

And I think Jeff even says, too, that AI Ready is not just clean data.

And I don't think we're ever going to have this really holy grail.

Obviously, there's conceptual semantic models.

But some of the key takeaways here, Mike, I'll run through it, is data quality is a starting point.

your duplicate records, missing values, inconsistent format and spelling.

But that doesn't mean you're AI ready if you just have clean data.

It's awfully weird.

Let's be real.

Many companies are still struggling with this step.

I know.

I

know.

We're still trying to get clean information and de-duping records and things.

We actually have a proper list of... a unique list of distinct customers.

Yeah.

And the big part is key takeaways is AI means business meeting.

This goes back to the idea for the semantic model, creating a business vocabulary on what your acronyms are or overloaded items like gross margin and general manager could mean GM.

descriptive names, definitions, and that your concepts are precise.

Terms that seem obvious may mean different things across departments.

Mike, I was on a call yesterday, six different types of customer roll-ups.