The Modern Data Company

A machine, however, it might deliver a very polished answer that is completely wrong.

So today, I'm joined by the CEO of the Modern Data Company, and we're gonna discuss why many enterprises are analytics ready but unprepared for AI.

He will talk about everything from why trusted data, business context, governance, usage signals, and machine-readable meaning, how they all must travel together.

And we'll also discuss model-agnostic data foundations, why centralized data projects can delay results, and how teams, though, can work backward from a business outcome rather than moving every available record into another repository.

Um, very nice meeting you, Neil.

Uh, I'm Saurabh Gupta.

I'm the CEO of the Modern Data Company.

Um, what we do is something very, very interesting and unique.

I'm your host, Tom Raftery.

Sagar Paul, Chief Revenue and Growth Officer at the Modern Data Company, brings three decades of experience across operations and enterprise data.

We get into the question leaders need to answer before automating.

What must you know about your data before you let a machine act on it? Let's get into it.

Good morning and happy to be here.

Yes, of course.

My name is Sagar Paul and I'm the Chief Revenue and Growth Officer at the Modern Data Company, where I run sales, growth, solution engineering, pre-sales as one team.

close to a little over three decades of experience in running operations, enterprise data, and so on.