Scenarios

Modern industrial data architectures must address diverse manufacturing challenges across the enterprise, from shop floor data collection to enterprise-wide analytics. This section presents five key scenarios that illustrate common manufacturing use cases and their implementation on AWS. These scenarios include establishing a modern industrial data architecture (MIDA) foundation, implementing industrial data catalogs for improved data discovery, creating data mesh architectures for scalable data sharing, building digital threads with knowledge graphs for end-to-end visibility, and deploying computer vision systems for automated quality inspection. Each scenario provides detailed architectural guidance, implementation considerations, and AWS service configurations to help manufacturing organizations successfully deploy these solutions. By understanding these reference architectures and implementation patterns, organizations can accelerate their digital transformation initiatives while maintaining operational excellence, security, and cost optimization.