Scaling AI & Analytics in Digital Manufacturing

Two-thirds of manufacturing COOs report their AI programs are still in pilot mode. The constraint is not model quality or compute capacity. It is the industrial data architecture beneath the factory floor, which was designed for operational control rather than multi-year historical replay, cross-domain analytics, or continuous machine learning. This ebook identifies what separates manufacturers that scale AI from those that stall at the pilot stage. It covers the architecture required to unify OT and IT data streams, the storage requirements for high-frequency sensor telemetry and vision inspection data, and how an S3-native object storage layer unlocks the analytics capabilities that factory-floor systems were never engineered to deliver. Real-world use cases illustrate each stage of the transition from isolated pilot deployments to enterprise-wide AI programs running at production scale.