At its re:Invent conference, AWS today announced SageMaker Studio Lab, a free service to help developers learn machine learning techniques and experiment with the technology.

When AWS launched SageMaker Studio back in December, we weren't super impressed. But we promised to take a closer look. Here it is.

With AWS Greengrass ML Inference, devices can run machine learning models to perform inference locally, get results, and then make smart decisions quickly, even when they’re not connected.

AWS outlined DeepLens at re:Invent and has received interest from educators, students and developers. For AWS, DeepLens is a way to put machine learning services in the field to find use cases.

The buzz surrounding machine learning and artificial intelligence (AI) in the consumer world has rapidly bled over into the enterprise.

Machine learning is still a pipe dream for most organizations, with Gartner estimating that fewer than 15 percent of enterprises successfully get machine learning into production.

As it seeks to demystify machine automation technologies and move beyond the current technology “hype phase,” AWS executives note that deployment of machine learning models and, eventually, full-blown ...