Modern dairy farming generates enormous amounts of valuable information about milk production, animal health, and farm operations, but this data remains scattered across individual farms and difficult to share due to privacy concerns and technical barriers. This fragmentation prevents farmers from benefiting from advanced computer models that could help them test different management strategies and improve their operations without disrupting actual farm activities or animal welfare. Currently, farmers, especially those with smaller operations, lack access to sophisticated data analysis tools that could help them make better decisions about their herds. This project addresses this challenge by developing a secure digital platform that allows farmers to collaboratively benefit from advanced artificial intelligence without ever sharing their private farm data. The platform will include user-friendly computer assistants that can understand everyday language and provide personalized, data-driven recommendations to help farmers improve their operations. This work serves the national interest by promoting scientific progress in agriculture, advancing national prosperity and welfare through more efficient and sustainable food production, strengthening agricultural data security to protect critical food systems, and supporting the competitiveness of American agriculture in global markets. This project develops a comprehensive, privacy-preserving digital testbed to optimize decisio