Sep 29, 2026 · 59 min · 16 segments
Welcome everyone to the Conversations on Applied AI podcast. Today we're speaking with Mark Price. Mark brings academic experience and a strong foundation in business analytics, change management, and…
Mark PriceGuestJustin GrammensHostThis is why you're perfect for this podcast here, because we're called Applied AI, and one of the things we like to do is talk about applications of it.
And I think what's interesting is you were doing marketing analytics and business analytics in the early days.
Marketing analytics I don't think was even a term much back in 15, 20 years ago.
Do you feel like you were in this revolution here with AI as well? I mean, maybe that's a simple question, but do you feel it's still the early days as you think back?

But for AI, I don't know whether to call it the early days or not because the days are changing so fast that it feels like dog years.

Every time we turn around, a whole new capability comes online and things we never thought were possible are things that are not possible.

So for me, constantly learning new things is the most fun I could have in the entire world.
Did you ever think you'd be a college professor, I guess, if you kind of rewind the clock back a number of years?

I always thought that eventually I would retire and teach one course a semester and do a little consulting was my plan.

And then I went from an adjunct professor to finish that story to now I'm a distinguished service professor, which is like clinical faculty.

And she's like, what's with this? And I'm like, well, this is the most exciting thing I've ever done in my life.
I'm just so busy in industry, but obviously I've been teaching at St. Thomas as well as an adjunct part-time since 2015, focusing more on the data science and the engineering side.
This is why you're perfect for this podcast here, because we're called Applied AI, and one of the things we like to do is talk about applications of it.
And I think what's interesting is you were doing marketing analytics and business analytics in the early days.
Marketing analytics I don't think was even a term much back in 15, 20 years ago.
Do you feel like you were in this revolution here with AI as well? I mean, maybe that's a simple question, but do you feel it's still the early days as you think back?

But for AI, I don't know whether to call it the early days or not because the days are changing so fast that it feels like dog years.

Every time we turn around, a whole new capability comes online and things we never thought were possible are things that are not possible.

So for me, constantly learning new things is the most fun I could have in the entire world.
Did you ever think you'd be a college professor, I guess, if you kind of rewind the clock back a number of years?

I always thought that eventually I would retire and teach one course a semester and do a little consulting was my plan.

And then I went from an adjunct professor to finish that story to now I'm a distinguished service professor, which is like clinical faculty.

And she's like, what's with this? And I'm like, well, this is the most exciting thing I've ever done in my life.
I'm just so busy in industry, but obviously I've been teaching at St. Thomas as well as an adjunct part-time since 2015, focusing more on the data science and the engineering side.
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