In this episode, host Zac Darnell and co-host Raman Ohri sit down with The Purdue Data Mine's, Executive Director, Mark Daniel Ward and COO, Katie Sanders. Mark and Katie walk us through how they’ve built a program where students from every major, not just data science, tackle real data problems for industry partners, and why that intentional cross-disciplinary design is exactly the point.

We dig into what it means to build a data-ready workforce at scale, how the explosion of AI has reshaped project demand (53 of 92 active projects now involve AI), and what companies actually get out of partnering with The Data Mine. From getting backlogged projects off the shelf to building a recruiting pipeline with early-career talent that’s already been road-tested on their real problems, along with what they're seeing from their industry partners.

Takeaways

• The Data Mine’s model is built on real-world work, not simulated problems; students are solving the same issues that industry partners face today.
• Cross-disciplinary teams produce stronger outcomes because different majors bring different lenses to the same data problem.
• Companies engage The Data Mine for two distinct reasons: recruiting pipeline and getting internal projects done.
• AI has rapidly reshaped project scope, over half of active engagements now include an AI component, up significantly from just a few years ago.
• Students are early enough in their careers that they aren’t locked into habits, making them unusually open to adopting new tools and approaches.
• The program is a low-friction entry point to a deeper university research relationship, some engagements evolve into sponsored research agreements.

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