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 SageMaker has been renamed to Amazon SageMaker AI. SageMaker AI is integrated within the next generation of SageMaker while also being available as a standalone service for those who wish to focus specifically on building, training, and deploying AI and ML models at scale. Highlights of the new Amazon SageMaker At its core is SageMaker Unified Studio (preview), a single data and AI development environment.…
Amazon Q Business is adding new workflow automation capability and 50+ action integrations
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 soon) Supports for more than 50 action integrations (generally available) Let’s get started with these new announcements from Amazon Q Business: AI-powered workflow automation in Amazon Q Business (coming soon)Organizations handle hundreds, if not thousands, of complex workflows that demand precise, repeatable execution. Automating these workflows has been a time-consuming process, often taking months and requiring specialized expertise. As a result, many potentially valuable business…
New capabilities from Amazon Q Business enable ISVs to enhance generative AI experiences
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 AI features intended to make their users more productive, but ISVs are often limited to data within their own application, resulting in end users still shifting between applications to complete tasks. Today, we’re excited to announce new Amazon Q Business capabilities for ISVs. ISVs can now integrate with the Amazon Q index to retrieve data from multiple sources through a single API and customize the…
New Amazon Q Developer agent capabilities include generating documentation, code reviews, and unit tests
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 AWS Management Console, AWS Console Mobile Application, Amazon CodeCatalyst, AWS Support, AWS website, or through Slack and Microsoft Teams with AWS Chatbot. Due to the rapid pace of innovation, we announced the general availability of Amazon Q Developer in April and added more capabilities, such as supporting AWS Command Line Interface (AWS CLI), Amazon SageMaker Studio, AWS CloudShell, as well as inline chat for seamless…