Amazon Web Services has introduced a new capability that bridges one of cloud computing’s longest-standing technical divides, allowing developers and data scientists to access data stored in its S3 cloud storage service as though it were a traditional file system.
The new feature, called Amazon S3 Files, lets applications running on AWS read and write data in S3 storage buckets using standard file operations rather than the specialized cloud storage commands that have defined the service since its launch 20 years ago. In practical terms, a machine learning team can now run a training job directly against data stored in S3 without first copying it to a separate file system, a step that has long added time, complexity, and cost to data workflows. For AI agents, the implications are equally significant, as they can now interact with S3 data using the same basic tools they would use on a local hard drive.
