AWS upgraded its SageMaker platform to offer more observability and streamlined functions to make AI model inference and training easier.

SageMaker Canvas evaluates hundreds of AI models and picks the one that would prove most effective at the processing task the user is looking to automate.

While SageMaker already makes machine learning more accessible, AWS Chief Andy Jassy said SageMaker Studio is a "giant leap forward." ...

I spoke with Bratin Saha, VP and General Manager, Machine Learning Services, AWS, about how the cloud has enabled machine learning, and SageMaker’s ability to ease ML deployment.

SageMaker promises to simplify key elements of the process, topped off with cognitive off-the-shelf services like Translate, Transcribe, image recognition, and voice recognition capabilities.

As AWS CEO Andy Jassy put it while introducing the new service on stage at re:invent, “Amazon SageMaker, an easy way to train, deploy machine learning models for every day developers.” ...