ANH (Animal Nutrition & Health) shares how they unified lab results, biomarker data, and operational signals on Databricks Lakehouse to drive autonomous decision-making in livestock production. From cutting model iteration cycles from 45 days to 4, to empowering business users with natural language queries via Genie — this session is a hands-on look at governing data at scale with Unity Catalog, building predictive animal health pipelines, and closing the loop between insight and action.
A practical blueprint for teams moving from raw data to production-grade AI.