A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Welcome to part 2 of our two-part series on AWS SageMaker. If you haven’t ...

AWS SageMaker is a fully managed service provided by Amazon Web Services (AWS) that allows developers and data scientists to build, train, and deploy machine learning models at scale. It’s designed to ...

It’s been close to a decade since Amazon Web Services (AWS), Amazon’s cloud computing division, announced SageMaker, its platform to create, train, and deploy AI models. While in previous years AWS ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Updated 2/14/21 at 9:14pm PST The data tooling and infrastructure space ...

Amazon Web Services Inc. today expanded its lineup of artificial intelligence capabilities by introducing an enhanced version of SageMaker, its neural network development platform. Originally ...

Amazon Web Services Inc. isn’t stopping at transforming Amazon SageMaker into a unified platform for artificial intelligence development tools. It’s equally determined to make it easier for builders ...

The option to reserve instances and GPUs for inference endpoints may help enterprises address scaling bottlenecks for AI ...

Built to run on AWS, the solution supports streaming responses via InvokeEndpointWithResponseStream and keeps data within AWS. Customers can deploy Deepgram in their Amazon Virtual Private Cloud ...

As companies rely increasingly on machine learning models to run their businesses, it’s imperative to include anti-bias measures to ensure these models are not making false or misleading assumptions.