How Dialog Axiata used Amazon SageMaker to scale ML models in production with AI Factory and reduced customer churn within 3 months aws.amazon.com Post date May 8, 2024 No Comments on How Dialog Axiata used Amazon SageMaker to scale ML models in production with AI Factory and reduced customer churn within 3 months Related An error occurred. Please refresh the page... External Tags Advanced (300), AI/ML, Amazon Machine Learning, Amazon SageMaker, Amazon SageMaker Pipelines, Customer Solutions, FeatureStore, mlops, Telecommunications ← Amazon SageMaker now integrates with Amazon DataZone to streamline machine learning governance → Build a Hugging Face text classification model in Amazon SageMaker JumpStart Leave a ReplyCancel reply This site uses Akismet to reduce spam. Learn how your comment data is processed.
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