Today, we announced a new capability of Amazon Q in QuickSight that helps users perform scenario analyses to find answers to complex problems quickly. This AI-assisted data analysis experience helps business users find answers to complex problems by guiding them step-by-step through in-depth data analysis—suggesting analytical approaches, automatically analyzing data, and summarizing findings with suggested […]
0 CommentsAs a data scientist, I’ve experienced firsthand the challenges of making machine learning (ML) accessible to business analysts, marketing analysts, data analysts, and data engineers who are experts in their domains without ML experience. That’s why I’m particularly excited about today’s Amazon Web Services (AWS) announcement that Amazon Q Developer is now available in Amazon […]
0 CommentsToday, we’re announcing the preview of multimodal toxicity detection with image support in Amazon Bedrock Guardrails. This new capability detects and filters out undesirable image content in addition to text, helping you improve user experiences and manage model outputs in your generative AI applications. Amazon Bedrock Guardrails helps you implement safeguards for generative AI applications […]
0 CommentsRed Hat this week made available a managed instance of the Ansible automation framework on the Amazon Web Services (AWS) cloud. Source: DevOps.com
0 CommentsExploring how PMs can incorporate DevOps methodologies into their workflows to drive efficiency, break down silos and enable rapid product iterations. Source: DevOps.com
0 CommentsFirms considering transitioning from traditional research & development (R&D) environments to DevOps must consider implementation challenges. Otherwise, they risk failure — the repercussions of which are far-reaching. What challenges should they expect? More importantly, what should they do to prepare? Implementation Challenges Facing DevOps Teams Although operations and development teams work toward the same goal, […]
0 CommentsAmazon Web Services (AWS) today revealed it has extended the capabilities of its generative artificial intelligence (AI) tool. Source: DevOps.com
0 CommentsAmazon 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 […]
0 CommentsSince 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 […]
0 CommentsLast 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 […]
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