From Factory Floor to AI-Ready: Building Industrial Data Pipelines for Databricks

Industrial data is unlike other data. Industrial companies across manufacturing, energy, lifesciences, and logistics run on PLCs, SCADA, historians, MES, inspection systems, AGVs, and more.This data is more raw and harder to work with than IT data. Standard ELT pipelines move thisproblem downstream rather than solving it. As industrial companies race to adopt AI, thisproblem is amplified further.Industrial DataOps addresses this by contextualizing and modeling data at the source, producingAI-ready data products that arrive at Bronze ready to progress through the medallionarchitecture.Gousto, a UK meal-kit manufacturer, put this into practice with HighByte, AWS, and Databricks.Their Unified Namespace and Lakehouse became the foundation for automated fault detection,ML-driven predictive maintenance, and digital twins, driving 98% equipment availability, a 10%throughput gain, and 5x more recipes.Learn how to unlock the value of your industrial data with Databricks.