Harvard Data Science Review

And so, you know, the overall, the overarching...

I guess, results of that paper that we had in Harvard Data Science Review was data science is obviously data-centric and decision science is decision-centric.

And the question is, you know, is there a mismatch between what's going on in industry and what's going on in academia? And I would say, especially now with the push coming from companies coming from industry on decision intelligence that we're seeing, right? Industry's out in front and realizing, well, it's just not about the data.

And so academia is following now.

Yeah, so we have the – let me make sure I get the titles right.

I have some stuff here.

But the Harvard Data Science Review, we've got a lot of good feedback on that.

And the title is Data Science and Decision Science Skills.

We have to get it out.

So it was like Monday, August 31st is when that episode of the HDSR, Harvard Data Science Review podcast came out.

And yeah, in that episode, you and I both talked about different ways that we're using AI, you know...

For us at the podcast, you know, we use it to create summaries for the superdatascience.com slash podcast page because it does it perfectly.

And I thought it might be something that would be fun to share with this audience as well.

So without any further ado, let me bring you the episode from HDSR about AI and podcasting.

Enjoy.

Hello and welcome to the Harvard Data Science Review podcast.

I'm Liberty Vitter Capito, the feature editor of the Harvard Data Science Review.

And this month, the HDSR editor-in-chief, Shally Meng, sat down with two podcast hosts to talk everything AI and podcasting.

Katie Malone is the host of Linear Digressions, a podcast about data science, machine learning and AI.

She's a physicist by background and has worked as a data scientist in startups, high growth tech and enterprises, as well as teaching, speaking and writing about AI.