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GE Healthcare is using Amazon SageMaker to build, train, and deploy machine-learning models that help care providers identify health issues faced by people around the world. GE Healthcare manufactures and distributes diagnostic imaging equipment and software that improves patient outcomes by sharing medical-image data among medical practitioners. GE Healthcare uses AWS and Amazon SageMaker to ingest de-identified data, store that data compliantly, orchestrate curation work across teams, and build deep learning algorithms. Using Amazon EC2 P3 Instances, GE Healthcare reduced the time to train its machine-learning models from days to hours, allowing the company to deploy models more quickly. Keith Bigelow, SVP of Edison Platform Strategy at GE Healthcare, spoke onstage at re:Invent 2018.
Publisher: Amazon Web Services
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