Author name: auto feeder

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 »

Amazon Q Developer has transformed the traditional development workflow by integrating a wide range of generative AI capabilities within the environments where developers work from. This seamless integration helps to maintain focus while accelerating a wide range of development tasks beyond coding for enhanced productivity. With its vast community of developers, GitLab is a popular …

Introducing GitLab Duo with Amazon Q Read More »

Today, we’re thrilled to announce Amazon Nova, a new generation of state-of-the-art foundation models (FMs) that deliver frontier intelligence and industry leading price performance, available exclusively in Amazon Bedrock. You can use Amazon Nova to lower costs and latency for almost any generative AI task. You can build on Amazon Nova to analyze complex documents …

Introducing Amazon Nova: Frontier intelligence and industry leading price performance Read More »

Today, we’re announcing the multi-agent collaboration capability for Amazon Bedrock (preview). With multi-agent collaboration, you can build, deploy, and manage multiple AI agents working together on complex multi-step tasks that require specialized skills. When you need more than a single agent to handle a complex task, you can create additional specialized agents to address different …

Introducing multi-agent collaboration capability for Amazon Bedrock (preview) Read More »

Today, we’re adding Automated Reasoning checks (preview) as a new safeguard in Amazon Bedrock Guardrails to help you mathematically validate the accuracy of responses generated by large language models (LLMs) and prevent factual errors from hallucinations. Amazon Bedrock Guardrails lets you implement safeguards for generative AI applications by filtering undesirable content, redacting personal identifiable information …

Prevent factual errors from LLM hallucinations with mathematically sound Automated Reasoning checks (preview) Read More »