AWS FeedUtilizing XGBoost training reports to improve your models In 2019, AWS unveiled Amazon SageMaker Debugger, a SageMaker capability that enables you to automatically detect a variety of issues that may arise while a model is being trained. SageMaker Debugger captures model state data at specified intervals during a training job. With this data, SageMaker…
AWS FeedIntegrating Amazon Polly with legacy IVR systems by converting output to WAV format Amazon Web Services (AWS) offers a rich stack of artificial intelligence (AI) and machine learning (ML) services that help automate several components of the customer service industry. Amazon Polly, an AI generated text-to-speech service, enables you to automate and scale your…
AWS FeedEffective data lakes using AWS Lake Formation, Part 1: Getting started with governed tables Thousands of customers are building their data lakes on Amazon Simple Storage Service (Amazon S3). You can use AWS Lake Formation to build your data lakes easily—in a matter of days as opposed to months. However, there are still some…
The 21.02 release includes new features in the Azure Sphere CLI v2 and promotion from Beta to release.
Azure Purview’s bulk editing capability for data assets now supports classifications and contacts along with glossary terms.
Azure VMware Solution helps simplify migration to the cloud by running VMware environments natively on Azure. With the new simplified NSX networking experience, it is now easier for VMware administrators to execute networking operations for Azure VMware Solution from the Azure portal.