With Studio, Autopilot, and other additions, Amazon SageMaker is now competitive with the machine learning environments available in other clouds When I reviewed Amazon SageMaker in 2018, I noted that ...

Amazon SageMaker Feature Store delivers a purpose-built data store for storing, updating, retrieving, and sharing machine learning features Amazon SageMaker Pipelines gives developers the first ...

Amazon Web Services has expanded the capabilities of its Amazon SageMaker machine learning toolkit to address a number of challenges that enterprises confront when trying to operationalize machine ...

Amazon SageMaker Debugger provides real-time monitoring for machine learning models to improve predictive accuracy, reduce training times, and facilitate greater explainability Amazon SageMaker Model ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Amazon today announced half a dozen new features and tools for AWS ...

To enable developers and citizen data scientists to take advantage of machine learning, the industry is moving towards AutoML - a simplified approach to building and training ML models. Training and ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

Amazon Web Services on Tuesday announced SageMaker Studio, a fully-integrated development environment for machine learning. A web-based IDE, SageMaker Studio allows you to store and collect all things ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Soroosh Khodami discusses why we aren't ready ...

Amazon Web Services has launched a slew of updates to help customers power their AI workloads. Chief among them was the news that AWS EC2 customers can finally get their hands on Nvidia’s next-gen ...