Many companies know they should be investing in AI and data – but far fewer know how to run those projects well. In this episode, Kenny speaks with Mark Daniel Ward and Katie Sanders from The Data Mine at Purdue University about what business leaders need to understand before launching AI, LLM, or data-driven initiatives.

Drawing on years of hands-on work with companies like Cummins and Eli Lilly, Mark and Katie break down what it takes to run AI and LLM projects that deliver real business value. They explain how to scope initiatives so they move beyond experimentation, set realistic timelines, and avoid common execution pitfalls. The conversation also covers how to structure projects with clear ownership, checkpoints, and auditability, and how leaders can recognise when a data project is ready to scale – or when it’s time to stop.

For CEOs, COOs, and CFOs navigating their first or next AI project, this episode offers a grounded, execution-focused playbook for moving from experimentation to impact.

Learn more about the Data Mine here: https://datamine.purdue.edu/

Chapters:

00:00 Introduction to Data Mine and Its Mission

04:09 Challenges in AI and Data for Large Enterprises

05:57 The Impact of Students in Organisations

10:12 Project Management and Business Outcomes

11:51 Diverse Projects and Applications of AI

16:18 Framework for Companies and Leaders to Start with AI

19:53 Debunking Myths About AI in Organizations

23:02 Advice for Executives on AI Projects

26:52 Final Quick Fire Questions

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🔗 Follow Kenny on LinkedIn: https://www.linkedin.com/in/kennyalegbe/

🤖 Follow Brim on LinkedIn: https://www.linkedin.com/company/joinbrim/

📩 For business or guest inquiries: [email protected]