Building the Data-Driven Dairy: The Next Wave of AI, Interoperability, and Decision Support

In this webinar, Miel Hostens explains how precision dairy technologies—such as sensors, automated milking systems, and monitoring platforms—can drive actionable on‑farm decisions using AI and machine learning. He addresses key challenges in dairy data analytics, including data integration, ownership, privacy, and inefficient workflows. Attendees will learn practical ways to build scalable decision‑support systems that improve cow health, animal welfare, and performance in high‑producing dairy herds.

Miel Hostens is the Robert and Anne Everett Endowed Associate Professor of Digital Dairy Management and Data Analytics in the Department of Animal Science, Cornell University, and leads the Bovi-Analytics Lab. A veterinarian by training (PhD, DVM, MSc), his work focuses on precision dairy farming, integrating sensor and herd data with AI and machine learning to improve decision support for animal health, welfare, sustainability, and farm performance. He is a Cornell Atkinson Center for Sustainability Faculty Fellow, a Cornell Institute for Digital Agriculture Faculty Fellow, and serves as Chair of the Working Group for Milk Recording within the International Committee for Animal Recording (ICAR).