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Amazon DynamoDB, a serverless NoSQL database, has been a go-to solution for over one million customers to build low-latency and high-scale applications. As data grows, organizations are constantly seeking ways to extract valuable insights from operational data, which is often stored in DynamoDB. However, to make the most of this data in Amazon DynamoDB for …

New Amazon DynamoDB zero-ETL integration with Amazon SageMaker Lakehouse Read More »

Today, we announced the next generation of Amazon SageMaker, which is a unified platform for data, analytics, and AI, bringing together widely-adopted AWS machine learning and analytics capabilities. This announcement includes Amazon SageMaker Data and AI Governance, a set of capabilities that streamline the management of data and AI assets. Data teams often face challenges …

Discover, govern, and collaborate on data and AI securely with Amazon SageMaker Data and AI Governance Read More »

Today, I’m happy to announce the general availability of data lineage in Amazon DataZone, following its preview release in June 2024. This feature is also extended as part of the catalog capabilities in the next generation of Amazon SageMaker, a unified platform for data, analytics, and AI. Traditionally, business analysts have relied on manual documentation …

Announcing the general availability of data lineage in the next generation of Amazon SageMaker and Amazon DataZone Read More »

Today, we’re announcing the next generation of Amazon SageMaker, a unified platform for data, analytics, and AI. The all-new SageMaker includes virtually all of the components you need for data exploration, preparation and integration, big data processing, fast SQL analytics, machine learning (ML) model development and training, and generative AI application development. The current Amazon …

Introducing the next generation of Amazon SageMaker: The center for all your data, analytics, and AI Read More »

Amazon Q Business, a generative AI–powered assistant designed to enhance productivity across various business applications, became generally available earlier this year. Since its launch, Amazon Q Business has been helping customers tackle the challenges of improving workforce productivity. In this post, we have two announcements for Amazon Q Business: AI-powered workflow automation in Amazon Q Business (coming …

Amazon Q Business is adding new workflow automation capability and 50+ action integrations Read More »

Since its launch, companies have been using Amazon Q Business to improve their employees’ productivity with a generative AI–powered assistant that helps them make better decisions based on company data and information. Employees also use various software applications provided by independent software vendors (ISVs) to complete their tasks. Many ISVs are creating their own generative …

New capabilities from Amazon Q Business enable ISVs to enhance generative AI experiences Read More »

Last year at AWS re:Invent, we previewed Amazon Q Developer, a generative AI–powered assistant for designing, building, testing, deploying, and maintaining software across integrated development environments (IDEs) such as Visual Studio, Visual Studio Code, JetBrains IDEs, Eclipse (preview), JupyterLab, Amazon EMR Studio, or AWS Glue Studio. You can also use Amazon Q Developer in the …

New Amazon Q Developer agent capabilities include generating documentation, code reviews, and unit tests Read More »

.NET Framework, introduced in 2002, runs only on Windows and although it’s still supported, it’s no longer in active development. However, cross-platform .NET, launched in 2016, is open source, runs on Linux, and is lightweight and higher performing. It receives regular updates, with new features and performance improvements every year. By porting your .NET applications …

Announcing Amazon Q Developer transformation capabilities for .NET (preview) Read More »

Today, we’re announcing the public preview of new Amazon Q Developer transformation capabilities for .NET, mainframe, and VMware workloads Amazon Q Developer accelerates large-scale transformation of enterprise workloads with domain-expert generative AI agents supervised by modernization teams in a unified collaborative web experience. Using the transformation capabilities of Amazon Q Developer, modernization teams can deliver …

Announcing Amazon Q Developer transformation capabilities for .NET, mainframe, and VMware workloads (preview) Read More »

The growing complexity of modern software makes troubleshooting difficult, requiring deep knowledge and manual work across various systems. This results in slower problem-solving and less efficient operations. More and more customers need automated tools to handle routine tasks and simplify complex processes, so they can resolve issues faster and focus on delivering inovations for their …

Investigate and remediate operational issues with Amazon Q Developer (in preview) Read More »