Amazon SageMaker Autopilot experiments using hyperparameter training are up to 2x faster to generate ML models on datasets greater than 100 MB running 100 or more trials. Amazon SageMaker Autopilot automatically builds, trains, and tunes the best ML models based on your data while allowing you to maintain full control and visibility.  Read More for the details.

Today, Amazon Simple Email Service (Amazon SES) launched Virtual Deliverability Manager, a new feature that helps customers monitor and increase their email delivery success rates. Customers can use this feature to optimize their email sending campaigns and sending configuration, to reduce the likelihood that mailbox providers (such as Gmail or Yahoo) will mark their email messages […]

AWS ParallelCluster 3.3 is now generally available and introduces a new feature for compute resource optimization. With this new feature, you can map a compute resource to a list of Amazon EC2 instance types with an allocation strategy to optimize compute capacity for your HPC jobs. Other features include updates that support dynamically mounting shared […]

AWS Migration Hub Orchestrator adds support for Microsoft SQL Server to help you simplify and accelerate SQL Server database migration to AWS. You can now easily create a SQL Server migration workflow, automate the manual tasks involved in the migration, and track the migration progress in the same console. With this capability, you can reduce […]

Amazon Textract is a machine learning service that automatically extracts text, handwriting, and data from any document or image. We continuously improve the underlying machine learning models based on customer feedback to provide even better accuracy. Today, we are pleased to announce quality enhancements to our text and forms extraction feature available via the AnalyzeDocument […]

Amazon S3 on Outposts now supports additional S3 Lifecycle rules to optimize capacity management. You can now optimize your storage capacity by expiring objects as they age or are replaced with newer versions. You can use S3 Lifecycle configurations for a whole bucket on your Outpost, or for a subset of the objects in the […]

Amazon SageMaker Autopilot now provides the ability to perform feature selection and change auto inferred data types while creating an AutoML experiment, enabling you with the flexibility to choose which features to include while training your machine learning (ML) models. SageMaker Autopilot automatically builds, trains and tunes the best ML models based on your data, […]

Starting today, the AWS WAF geographic match statement adds labels to each request, to indicate ISO 3166 country and region codes. Customers have asked for more control of geographic regions within a country, such as a specific state in the United States. With the updated geographic match rule statements, customers can control access at the […]