How Twilio used Amazon SageMaker MLOps pipelines with PrestoDB to enable frequent model retraining and optimized batch transform aws.amazon.com Post date June 17, 2024 No Comments on How Twilio used Amazon SageMaker MLOps pipelines with PrestoDB to enable frequent model retraining and optimized batch transform Related External Tags Amazon SageMaker, Customer Solutions, Technical How-to ← Accelerate deep learning training and simplify orchestration with AWS Trainium and AWS Batch → 6 Startups Redefining 3D Workflows with OpenUSD and Generative AI Leave a ReplyCancel reply This site uses Akismet to reduce spam. Learn how your comment data is processed.
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