SageMaker will get streaming algorithms and better batch processing and pluck data directly from Amazon's S3 storage.

For instance, customers can integrate Amazon Aurora MySQL, PostgreSQL and other kinds of databases directly with Amazon SageMaker, without needing to build any complex data pipelines first.

AWS has announced the 'next generation' of its SageMaker AI dev platform, including a unified data dashboard.

Amazon today announcement AI-focused improvements headed to AWS, including new built-in algorithms, Git integration, and automated workflow features.

Remote training is exactly the same thing - except the data is transferred from S3 into the standard folder on disk, and the whole workflow executes on SageMaker: ...

Amazon SageMaker adds a data science studio, experiment tracking, production monitoring, and automated machine learning capabilities ...

Planet customers are invited to bring Planet data into the new Amazon SageMaker geospatial ML capabilities to provide early-stage feedback, beginning in December 2022.

AWS's Amazon SageMaker software, a set of tools for deploying machine learning, is not only spreading throughout many companies, it is becoming a key tool for some of the more demanding kinds of ...