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Explore the development of an AI/ML data pipeline processing infrastructure for healthcare applications using Go-based EdgeX Foundries microservices. Learn how this system enables automatic detection, management, and processing of images from OEM equipment through containerized microservice architecture and various communication APIs. Discover the challenges faced and solutions implemented, including distributed deployment across Windows and Linux environments, service dependency management, backend status internationalization, and addressing idempotency issues in integration tests. Gain insights into leveraging Go packages for building robust microservices for machine learning at the edge, and understand the unique aspects of this project that combines Go, AI/ML, and healthcare applications.
