Amazon Q

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Streamline employee training with an intelligent chatbot powered by Amazon Q Business

Amazon Q, Amazon Q Business, Technical How-to /

Amazon Q Business is a generative AI-powered assistant for interacting with organizational knowledge and enterprise systems. In addition to providing built-in connectors and plug-ins to connect seamlessly to over 40 popular enterprise systems, Amazon Q Business provides the ability to interact seamlessly with other third-party applications using custom plugins. Some of the enterprise systems that […]

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Bringing agentic Retrieval Augmented Generation to Amazon Q Business

Amazon Machine Learning, Amazon Q, Amazon Q Business, Artificial Intelligence, Generative AI /

Amazon Q Business is a generative AI-powered enterprise assistant that helps organizations unlock value from their data. By connecting to enterprise data sources, employees can use Amazon Q Business to quickly find answers, generate content, and automate tasks—from accessing HR policies to streamlining IT support workflows, all while respecting existing permissions and providing clear citations.

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Whiteboard to cloud in minutes using Amazon Q, Amazon Bedrock Data Automation, and Model Context Protocol

Amazon API Gateway, Amazon Bedrock Data Automation, Amazon Q, Amazon Q Developer /

Upgrading legacy systems has become increasingly important to stay competitive in today’s market as outdated infrastructure can cost organizations time, money, and market position. However, modernization efforts face challenges like time-consuming architecture reviews, complex migrations, and fragmented systems. These delays not only impact engineering teams but have broader impacts including lost market opportunities, reduced competitiveness,

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Pioneering AI workflows at scale: A deep dive into Asana AI Studio and Amazon Q index collaboration

Amazon Machine Learning, Amazon Q, Amazon Q Business, Customer Solutions, Generative AI, Technical How-to /

Organizations today face a critical challenge: managing an ever-increasing volume of tasks and information across multiple systems. Although traditional task management tools help organize work, they often fall short in delivering the intelligence needed for truly efficient operations. Today, we’re excited to announce the integration of Asana AI Studio with Amazon Q index, bringing generative

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AI agents unifying structured and unstructured data: Transforming support analytics and beyond with Amazon Q Plugins

Amazon Q, Amazon Q Business, Generative AI, Intermediate (200) /

As organizations seek to derive greater value from their AWS Support data, operational teams are looking for ways to transform raw support cases and health events into actionable insights. While traditional analytics tools can provide basic reporting capabilities, teams need more sophisticated solutions that can understand and process natural language queries about their operational data.

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Enhance generative AI solutions using Amazon Q index with Model Context Protocol – Part 1

Amazon Q, Amazon Q Business, Artificial Intelligence, Best Practices /

Today’s enterprises increasingly rely on AI-driven applications to enhance decision-making, streamline workflows, and deliver improved customer experiences. Achieving these outcomes demands secure, timely, and accurate access to authoritative data—especially when such data resides across diverse repositories and applications within strict enterprise security boundaries. Interoperable technologies powered by open standards like the Model Context Protocol (MCP)

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Streamline deep learning environments with Amazon Q Developer and MCP

Amazon Q, Amazon Q Developer, Artificial Intelligence, AWS Deep Learning AMIs /

Data science teams working with artificial intelligence and machine learning (AI/ML) face a growing challenge as models become more complex. While Amazon Deep Learning Containers (DLCs) offer robust baseline environments out-of-the-box, customizing them for specific projects often requires significant time and expertise. In this post, we explore how to use Amazon Q Developer and Model

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Enabling customers to deliver production-ready AI agents at scale

Amazon Bedrock, Amazon Connect, Amazon Nova, Amazon Q, Amazon Simple Storage Service (S3), Announcements, AWS Inferentia, AWS Trainium, AWS Transform, Featured, Thought Leadership /

AI agents will change how we all work and live. Our AWS CEO, Matt Garman, shared a vision of a technological shift as transformative as the advent of the internet. I’m energized by this vision because I’ve witnessed firsthand how these intelligent agent systems are already beginning to solve complex problems, automate workflows, and create

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Accelerating data science innovation: How Bayer Crop Science used AWS AI/ML services to build their next-generation MLOps service

Amazon API Gateway, Amazon EventBridge, Amazon Q, Amazon Q Business, Amazon Q Developer, Amazon SageMaker, Amazon SageMaker Data & AI Governance, Artificial Intelligence, Customer Solutions, Generative AI /

The world’s population is expanding at a rapid rate. The growing global population requires innovative solutions to produce food, fiber, and fuel, while restoring natural resources like soil and water and addressing climate change. Bayer Crop Science estimates farmers need to increase crop production by 50% by 2050 to meet these demands. To support their

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Context extraction from image files in Amazon Q Business using LLMs

AI/ML, Amazon Bedrock, Amazon Machine Learning, Amazon Q, Amazon Q Business, Artificial Intelligence, Generative AI, Intermediate (200) /

To effectively convey complex information, organizations increasingly rely on visual documentation through diagrams, charts, and technical illustrations. Although text documents are well-integrated into modern knowledge management systems, rich information contained in diagrams, charts, technical schematics, and visual documentation often remains inaccessible to search and AI assistants. This creates significant gaps in organizational knowledge bases, leading

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