Operationalize forecasting models and Fine-tuned FMs with SageMaker Canvas

[Amazon Web Services]

Amazon SageMaker Canvas now extends its Model Registry integration to Timeseries forecasting models and SageMaker JumpStart-powered Fine-tuned foundation models. With a single click, you can register these ML models built in Amazon SageMaker Canvas with the SageMaker Model registry, simplifying their deployment to production environments. This enhancement expands the Model registry integration to all problem types supported in Canvas, including regression/classification tabular models, and CV/NLP models. By streamlining the operationalization of ML models in production, Canvas, a no-code tool to build ML models and generate predictions, continues to democratize ML.

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