Perform generative AI-powered data prep and no-code ML over any size of data using Amazon SageMaker Canvas

By Admin 16/08/2024

AWS Machine Learning Blog Amazon SageMaker Canvas now empowers enterprises to harness the full potential of their data by enabling support of petabyte-scale datasets. Starting today, you can interactively prepare large datasets, create end-to-end data flows, and invoke automated machine learning (AutoML) experiments on petabytes of data—a substantial leap from the previous 5 GB limit. […]Continue reading

Enable single sign-on access of Amazon SageMaker Canvas using AWS IAM Identity Center: Part 2

By Admin 02/04/2024

AWS Machine Learning Blog Amazon SageMaker Canvas allows you to use machine learning (ML) to generate predictions without having to write any code. It does so by covering the end-to-end ML workflow: whether you’re looking for powerful data preparation and AutoML, managed endpoint deployment, simplified MLOps capabilities, or the ability to configure foundation models for […]Continue reading

Announcing support for Llama 2 and Mistral models and streaming responses in Amazon SageMaker Canvas

By Admin 05/02/2024

AWS Machine Learning Blog Launched in 2021, Amazon SageMaker Canvas is a visual, point-and-click service for building and deploying machine learning (ML) models without the need to write any code. Ready-to-use Foundation Models (FMs) available in SageMaker Canvas enable customers to use generative AI for tasks such as content generation and summarization. We are thrilled […]Continue reading

Optimizing costs for Amazon SageMaker Canvas with automatic shutdown of idle apps

By Admin 24/11/2023

AWS Machine Learning Blog Amazon SageMaker Canvas is a rich, no-code Machine Learning (ML) and Generative AI workspace that has allowed customers all over the world to more easily adopt ML technologies to solve old and new challenges thanks to its visual, no-code interface. It does so by covering the ML workflow end-to-end: whether you’re […]Continue reading

Deploy ML models built in Amazon SageMaker Canvas to Amazon SageMaker real-time endpoints

By Admin 02/11/2023

AWS Machine Learning Blog Amazon SageMaker Canvas now supports deploying machine learning (ML) models to real-time inferencing endpoints, allowing you take your ML models to production and drive action based on ML-powered insights. SageMaker Canvas is a no-code workspace that enables analysts and citizen data scientists to generate accurate ML predictions for their business needs. […]Continue reading

New – No-code generative AI capabilities now available in Amazon SageMaker Canvas

By Admin 10/10/2023

AWS Machine Learning Blog Launched in 2021, Amazon SageMaker Canvas is a visual, point-and-click service that allows business analysts and citizen data scientists to use ready-to-use machine learning (ML) models and build custom ML models to generate accurate predictions without the need to write any code. Ready-to-use models enable you to derive immediate insights from […]Continue reading

Accelerate business outcomes with 70% performance improvements to data processing, training, and inference with Amazon SageMaker Canvas

By Admin 03/08/2023

AWS Machine Learning Blog Amazon SageMaker Canvas is a visual interface that enables business analysts to generate accurate machine learning (ML) predictions on their own, without requiring any ML experience or having to write a single line of code. SageMaker Canvas’s intuitive user interface lets business analysts browse and access disparate data sources in the […]Continue reading