Amazon SageMaker architecture As shown in the diagram below, SageMaker provides secure, scalable, pre-configured environments for developing, training, evaluating, and hosting machine learning models.

Today at its annual huge conference re:Invent 2024, Amazon Web Services (AWS) announced the next generation of its cloud-based machine learning (ML) development platform SageMaker, transforming it ...

At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced five new capabilities within Amazon Sag ...

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.” ...

AWS seeks to extend its market position with updates to SageMaker, its machine learning and AI model training and inference platform, adding new observability capabilities, connected coding ...

AWS has also updated its low code machine learning platform targeted at business analysts, SageMaker Canvas. Analysts can use natural language to prepare data inside Canvas in order to generate ...

Amazon Web Services has released the code from its SageMaker Neo machine learning service as the Neo-AI project under the Apache Software License. First launched at AWS re:Invent in November ...

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.