
Amazon SageMaker Canvas now delivers 70% faster data processing, 10x faster data validation, and 3.5x reduced memory consumption for inference, enabling business analysts to build and train ML models more efficiently without coding.


<div><p>This article announces performance improvements to Amazon SageMaker Canvas, a no-code ML platform for business analysts.</p><ul><li>Data import speed improved by 70%; now handles 2GB in ~50 seconds</li><li>Data validation speed increased 10x; 5GB dataset validated in 50 seconds</li><li>Model training now handles larger datasets without out-of-memory failures</li><li>Inference memory consumption reduced 3.5x for larger datasets</li><li>Enables business analysts to build ML models without coding expertise</li></ul><p>SageMaker Canvas delivers significant performance gains across data processing, training, and inference, making ML model development faster and more accessible for non-technical users.</p></div>


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