Amazon Q

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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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Extend your Amazon Q Business with PagerDuty Advance data accessor

AI/ML, AIML, Amazon Q, Amazon Q Business, Customer Solutions, Generative AI, Partner solutions /

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

Amazon Q, Amazon Q Business, Customer Solutions, Generative AI /

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, Amazon Q Business, Intermediate (200) /

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

Amazon Q, Amazon Q Business, Amazon QuickSight, Best Practices, Experience-Based Acceleration /

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

Amazon Q, Amazon Q Business, Intermediate (200), Security & Governance, Technical How-to /

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

Amazon Q, Amazon Q Business, Launch /

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

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

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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Add Zoom as a data accessor to your Amazon Q index

Amazon Q, Amazon Q Business, Artificial Intelligence, Customer Solutions, Enterprise Strategy, Generative AI /

For many organizations, vast amounts of enterprise knowledge are scattered across diverse data sources and applications. Organizations across industries seek to use this cross-application enterprise data from within their preferred systems while adhering to their established security and governance standards. This post demonstrates how Zoom users can access their Amazon Q Business enterprise data directly

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Elevate business productivity with Amazon Q and Amazon Connect

Amazon Connect, Amazon Q, Amazon Q Business, Best Practices, Generative AI, Technical How-to /

Modern banking faces dual challenges: delivering rapid loan processing while maintaining robust security against sophisticated fraud. Amazon Q Business provides AI-driven analysis of regulatory requirements and lending patterns. Additionally, you can now report fraud from the same interface with a custom plugin capability that can integrate with Amazon Connect. This fusion of technology transforms traditional

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