Amazon SageMaker Unified Studio now lets data scientists schedule, parameterize, and orchestrate notebook runs directly from the notebook interface. Key capabilities include on-demand background runs on dedicated compute, recurring schedules, notebook parameterization for reuse across different inputs, and multi-notebook workflow chaining via the Notebook Operator. AI-assisted troubleshooting through the SageMaker Data Agent helps identify root causes when runs fail, and natural language commands can be used to create schedules. The feature is available in all AWS regions where SageMaker Unified Studio is supported.
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