#sagemaker
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AWS Weekly Roundup: AWS Control Tower, Amazon Bedrock, Amazon OpenSearch Service, and More (October 9, 2023)
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Amazon SageMaker Canvas expands capabilities to better prepare and analyze data for machine learning
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Amazon SageMaker Automatic Model Tuning now supports alternate SageMaker training instance types for more robust tuning
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Amazon SageMaker Pipelines now supports sharing of pipeline entities across accounts
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Amazon SageMaker Canvas announces encryption support with customer managed keys
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Amazon SageMaker adds ml.g5, ml.p4d, and ml.c6i instances for model deployment
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Amazon SageMaker Automatic Model Tuning now supports increased limits to improve the accuracy of your models
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Announcing Heterogeneous Clusters for Amazon SageMaker model training
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Amazon SageMaker Autopilot experiments are now up to 2x faster
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Amazon SageMaker Feature Store now supports feature metadata and search
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Amazon SageMaker Feature Store adds operational metrics to easily monitor feature groups
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Amazon SageMaker Feature Store now allows adding new features to existing feature groups
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Amazon SageMaker built-in algorithms now provides four new Tabular Data Modeling Algorithms
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Virtual Private Cloud (VPC) support is generally available for SageMaker Ground Truth
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Amazon SageMaker Ground Truth now supports synthetic data generation
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Amazon SageMaker Canvas announces support for VPC endpoints
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Amazon SageMaker Canvas accelerates onboarding with new interactive product tours and sample datasets
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Amazon SageMaker Experiments now supports common chart types to visualize model training results
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Amazon SageMaker Data Wrangler now enables model training with Amazon SageMaker Autopilot
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Amazon SageMaker Studio and SageMaker Notebook Instance now come with JupyterLab 3 notebooks