How United Airlines built a cost-efficient Optical Character Recognition active learning pipeline aws.amazon.com Post date September 21, 2023 No Comments on How United Airlines built a cost-efficient Optical Character Recognition active learning pipeline Related An error occurred. Please refresh the page... External Tags Amazon Machine Learning, Amazon ML Solutions Lab, Amazon SageMaker, Amazon SageMaker Ground Truth, Amazon Textract, Application Services, artificial-intelligence, AWS Step Functions, Case Study, Customer Enablement, Customer Solutions, Travel and Hospitality ← Optimize generative AI workloads for environmental sustainability → Exploring Large-scale Raster Population Data Leave a ReplyCancel reply This site uses Akismet to reduce spam. Learn how your comment data is processed.
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