In this special episode of the AgCulture Podcast, Paul Windemuller shares his full presentation from the Milk Business Conference, where he challenges how the dairy industry thinks about data, technology, and artificial intelligence. Drawing on his experience as a dairy farmer and global agtech observer, Paul explains why more data has not automatically led to better decisions—and why that gap is becoming more critical as AI adoption accelerates.

The presentation was delivered at the Milk Business Conference, one of the dairy industry’s leading annual events, which brings together producers, processors, and agribusiness leaders to discuss management, profitability, and the future of milk production. Paul was featured as a speaker for his perspective on practical innovation and agtech adoption. You can also read the conference’s feature article about Paul and his work here.

MEET THE HOST

Paul Windemuller is a dairy farmer, agribusiness thought leader, and host of the AgCulture Podcast. With hands-on experience building and operating modern dairy systems, Paul brings a practical lens to emerging technologies like artificial intelligence, simulation modeling, and data-driven decision tools. As a Nuffield Farming Scholar focused on AI in livestock agriculture, he works globally with farmers, cooperatives, and agtech companies to explore how innovation can strengthen farm profitability and resilience.

TIMESTAMPS

(00:00) Introduction & conference context

(03:40) Data vs decisions

(07:20) Dashboard limitations

(11:30) Digital twins explained

(16:45) Simulation and risk

(21:30) ROI discipline

(26:10) AI limits

(31:40) Preparing for the future

(36:20) Closing thoughts

Join Paul as he shares his experiences in the agricultural industry, his travels and encounters with important figures around the world.

Available on YouTube, Spotify and Apple Podcasts.Subscribe at http://www.agculturepodcast.com and keep an eye out for future episodes, bringing insights and stories from the vibrant world of agriculture.