Amazon Web Services FeedConfiguring autoscaling inference endpoints in Amazon SageMaker Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to quickly build, train, and deploy machine learning (ML) models at scale. Amazon SageMaker removes the heavy lifting from each step of the ML process to make it…
Amazon Web Services FeedIncorporating security in code-reviews using Amazon CodeGuru Reviewer Today, software development practices are constantly evolving to empower developers with tools to maintain a high bar of code quality. Amazon CodeGuru Reviewer offers this capability by carrying out automated code-reviews for developers, based on the trained machine learning models that can detect complex…
Amazon Web Services FeedIntroducing Amazon QuickSight Q: ask questions about your data and get answers in seconds Today, we are excited to announce a new capability in Amazon QuickSight called Amazon QuickSight Q. Q is a machine learning-powered natural language capability that empowers business users to ask questions about all of their data using everyday…
Amazon Web Services FeedConfiguring AWS VPN for UK public sector use In this post, we explain the United Kingdom (UK) National Cyber Security Centre (NCSC)’s guidance on VPN profiles configuration, and how the configuration parameters for the AWS Virtual Private Network (AWS VPN) align with the NCSC guidance. At the end of the post, there…
Amazon Web Services FeedAmazon QuickSight: 2020 in review As 2020 draws to a close, we’ve put together this post to walk you through all that’s changed in Amazon QuickSight this year. For your reading convenience, this post is broken up into the following sections: Embedded Analytics at scale Faster insights with Q & ML Business…
The 20.12 release includes enhancements and bug fixes in the Azure Sphere OS. It does not include an updated SDK.