Every few months, someone in the dairy industry asks me some version of the same question. "Do you think AI is going to replace what you do?" I always give the same answer: No. But it is going to make the gap between good and great a lot harder to close. Let me explain what I mean. The thing people get wrong about AI in agriculture When most people imagine AI disrupting the dairy industry, they picture robots milking cows or algorithms replacing traders on the CME. The automa

There is a version of my career that never included Tulare, California. In that version, I went straight from a supply chain internship into a corporate analytics role, built models from a desk in Minneapolis, and became very good at telling stories about milk I had never actually seen move. I would have been fine. Probably pretty good, even. But I would have been missing something I didn't know I needed. When I joined Land O'Lakes through their Supply Chain Talent Accelerati

People ask me all the time how I got into analytics. Honestly? For a long time, I never really knew how to answer that question. The easy answer is that I’ve always liked numbers. I loved math growing up, especially algebra. I liked patterns, logic, and solving problems. But the older I get, the more I realize analytics was never really about numbers for me. It’s about curiosity. It’s about understanding why things happen. And maybe more importantly — trying to figure out wha