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.

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: ...

SageMaker is AWS's flagship machine learning solution. Here we take a hands-on look at some of its newest features, rolled out in December.

Informatica INFACore promises to simplify the creation of data pipelines for building and deploying machine learning models in Amazon SageMaker Studio.

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 has introduced SageMaker Studio Lab, a free service to help developers learn machine-learning techniques and experiment with the technology. SageMaker Studio Lab provides users with all of the ...

Amazon SageMaker Feature Store delivers a purpose-built data store for storing, updating, retrieving, and sharing machine learning features Amazon SageMaker Pipelines gives developers the first ...