Amazon SageMaker Pipelines now integrates with SageMaker Model Monitor and SageMaker Clarify - devamazonaws.blogspot.com

Amazon SageMaker Pipelines, a fully managed service that enables you to create, automate, and manage end-to-end machine learning (ML) workflows, now supports integration with Amazon SageMaker Model Monitor and Amazon SageMaker Clarify. With these integrations, you can easily incorporate model quality and bias detection in your ML workflow. The increased automation can help reduce your operational burden in building and managing ML models.

Post Updated on December 01, 2021 at 11:40PM

Comments

Post a Comment

Popular posts from this blog

Scenarios capability now generally available for Amazon Q in QuickSight - devamazonaws.blogspot.com

Today, AWS announces the general availability of the scenarios capability of Amazon Q in QuickSight. Amazon Q guides you through data analysis by uncovering hidden trends, making recommendations for your business, and intelligently suggesting next steps for deeper exploration—all in response to natural language interactions. Now anyone can explore past trends, forecast future scenarios, and model solutions without needing specialized skill, analyst support, or manual manipulation of data in spreadsheets. With its intuitive interface and step-by-step guidance, the scenarios capability of Amazon Q in QuickSight helps users perform complex data analysis up to 10x faster than spreadsheets. Whether you're optimizing marketing budgets, streamlining supply chains, or analyzing investments, Amazon Q makes advanced data analysis accessible so you can make data-driven decisions across your organization. This capability is accessible from any Amazon QuickSight dashboard, so you can move seam...
Read more

[MS] Introducing Pull Request Annotation for CodeQL and Dependency Scanning in GitHub Advanced Security for Azure DevOps - devamazonaws.blogspot.com

Image
In the world of software development, security is paramount. As developers, we strive to write clean, efficient, and most importantly, secure code. GitHub Advanced Security for Azure DevOps has always been at the forefront of providing tools that make it easier to build and release high-quality software. Today, we’re excited to announce a new feature release that will take your code security to the next level: PR (Pull Request) Annotation for CodeQL and Dependency Scanning. PR Annotation - What Does it Mean for You? Pull Request Annotation brings security insights directly into your development workflow. Here’s how it works: When you raise a Pull Request, CodeQL runs automatically, scanning for any potential security issues. Dependency Scanning concurrently checks for vulnerabilities in packages or libraries you might be using. If any issues are found, they are reported directly on the PR interface as annotations. Developers can see exactly what the problem is and where it occu...
Read more

AWS Console Mobile Application adds support for Amazon Lightsail - devamazonaws.blogspot.com

AWS customers can now access Amazon Lightsail from within the AWS Console Mobile App to monitor and manage Lightsail instances, containers, databases, network, storage, snapshots, domains and DNS while on the go. Visit the Services tab in the AWS Console Mobile App and select Lightsail to get started. The AWS Console Mobile App enables AWS customers monitor and manage a select set of resources and receive push notifications to stay informed and connected with their AWS resources while on-the-go. The sign-in process supports biometrics authentication, making access to AWS resources simple, secure, and quick. Lightsail offers easy-to-use virtual private server (VPS) instances, storage, databases, and more for a cost-effective monthly price. For AWS services not available natively, customers can access the AWS Management Console via an in-app browser to access service pages without additional authentication, manual navigation, or need to switch from the app to a browser. Visit the AWS...
Read more