Amazon Q Business

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Context extraction from image files in Amazon Q Business using LLMs

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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Extend your Amazon Q Business with PagerDuty Advance data accessor

This blog post is co-written with Jacky Leybman from PagerDuty. As organizations scale their digital operations, they face unprecedented challenges in managing and extracting value from their vast data ecosystems, particularly when it comes to data accessibility and quality. The complexity of modern IT operations demands solutions that can efficiently integrate, process, and deliver actionable

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How Kepler democratized AI access and enhanced client services with Amazon Q Business

This is a guest post co-authored by Evan Miller, Noah Kershaw, and Valerie Renda of Kepler Group At Kepler, a global full-service digital marketing agency serving Fortune 500 brands, we understand the delicate balance between creative marketing strategies and data-driven precision. Our company name draws inspiration from the visionary astronomer Johannes Kepler, reflecting our commitment

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Boosting team productivity with Amazon Q Business Microsoft 365 integrations for Microsoft 365 Outlook and Word

Amazon Q Business, with its enterprise grade security, seamless integration with multiple diverse data sources, and sophisticated natural language understanding, represents the next generation of AI business assistants. What sets Amazon Q Business apart is its support of enterprise requirements from its ability to integrate with company documentation to its adaptability with specific business terminology

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Set up a custom plugin on Amazon Q Business and authenticate with Amazon Cognito to interact with backend systems

Businesses are constantly evolving, and leaders are challenged every day to meet new requirements and are seeking ways to optimize their operations and gain a competitive edge. One of the key challenges they face is managing the complexity of disparate business systems and workflows, which leads to inefficiencies, data silos, and missed opportunities. Generative AI

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Build a financial research assistant using Amazon Q Business and Amazon QuickSight for generative AI–powered insights

According to a Gartner survey in 2024, 58% of finance functions have adopted generative AI, marking a significant rise in adoption. Among these, four primary use cases have emerged as especially prominent: intelligent process automation, anomaly detection, analytics, and operational assistance. In this post, we show you how Amazon Q Business can help augment your

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Build an intelligent community agent to revolutionize IT support with Amazon Q Business

In the era of AI and machine learning (ML), there is a growing emphasis on enhancing security— especially in IT contexts. In this post, we demonstrate how your organization can reduce the end-to-end burden of resolving regular challenges experienced by your IT support teams—from understanding errors and reviewing diagnoses, remediation steps, and relevant documentation, to

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Get faster and actionable AWS Trusted Advisor insights to make data-driven decisions using Amazon Q Business

Our customers’ key strategic objectives are cost savings and building secure and resilient infrastructure. At AWS, we’re dedicated to helping you meet these critical goals with our unparalleled expertise and industry-leading tools. One of the most valuable resources we offer is the AWS Trusted Advisor detailed report, which provides deep insights into cost optimization, security

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Build public-facing generative AI applications using Amazon Q Business for anonymous users

Amazon Q Business is a generative AI-powered assistant that answers question, provides summaries, generates content, and securely completes tasks based on enterprise data and information. It connects to company data sources, applications, and internal systems to provide relevant, contextual answers while maintaining organizational security and compliance standards. Today, we’re excited to announce that Amazon Q

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Accuracy evaluation framework for Amazon Q Business – Part 2

In the first post of this series, we introduced a comprehensive evaluation framework for Amazon Q Business, a fully managed Retrieval Augmented Generation (RAG) solution that uses your company’s proprietary data without the complexity of managing large language models (LLMs). The first post focused on selecting appropriate use cases, preparing data, and implementing metrics to

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