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Authenticate Amazon Q Business data accessors using a trusted token issuer

Authenticate Amazon Q Business data accessors using a trusted token issuer

Since its general availability in 2024, Amazon Q Business (Amazon Q) has enabled independent software vendors (ISVs) to enhance their Software as a Service (SaaS) solutions through secure access to customers’ enterprise data by becoming Amazon Q Business data accessor. To find out more on data accessor, see this page. The data accessor now supports …

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Unlocking the future of professional services: How Proofpoint uses Amazon Q Business

Unlocking the future of professional services: How Proofpoint uses Amazon Q Business

This post was written with Stephen Coverdale and Alessandra Filice of Proofpoint. At the forefront of cybersecurity innovation, Proofpoint has redefined its professional services by integrating Amazon Q Business, a fully managed, generative AI powered assistant that you can configure to answer questions, provide summaries, generate content, and complete tasks based on your enterprise data. …

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Enhancing LLM accuracy with Coveo Passage Retrieval on Amazon Bedrock

Enhancing LLM accuracy with Coveo Passage Retrieval on Amazon Bedrock

This post is co-written with Keith Beaudoin and Nicolas Bordeleau from Coveo. As generative AI transforms business operations, enterprises face a critical challenge: how can they help large language models (LLMs) provide accurate and trustworthy responses? Without reliable data foundations, these AI models can generate misleading or inaccurate responses, potentially reducing user trust and organizational …

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Train and deploy models on Amazon SageMaker HyperPod using the new HyperPod CLI and SDK

Train and deploy models on Amazon SageMaker HyperPod using the new HyperPod CLI and SDK

Training and deploying large AI models requires advanced distributed computing capabilities, but managing these distributed systems shouldn’t be complex for data scientists and machine learning (ML) practitioners. The newly released command line interface (CLI) and software development kit (SDK) for Amazon SageMaker HyperPod simplify how you can use the service’s distributed training and inference capabilities. …

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Build a serverless Amazon Bedrock batch job orchestration workflow using AWS Step Functions

Build a serverless Amazon Bedrock batch job orchestration workflow using AWS Step Functions

As organizations increasingly adopt foundation models (FMs) for their artificial intelligence and machine learning (AI/ML) workloads, managing large-scale inference operations efficiently becomes crucial. Amazon Bedrock supports two general types of large-scale inference patterns: real-time inference and batch inference for use cases that involve processing massive datasets where immediate results aren’t necessary. Amazon Bedrock batch inference …

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Natural language-based database analytics with Amazon Nova

Natural language-based database analytics with Amazon Nova

In this post, we explore how natural language database analytics can revolutionize the way organizations interact with their structured data through the power of large language model (LLM) agents. Natural language interfaces to databases have long been a goal in data management. Agents enhance database analytics by breaking down complex queries into explicit, verifiable reasoning …

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Deploy Amazon Bedrock Knowledge Bases using Terraform for RAG-based generative AI applications

Deploy Amazon Bedrock Knowledge Bases using Terraform for RAG-based generative AI applications

Retrieval Augmented Generation (RAG) is a powerful approach for building generative AI applications by providing foundation models (FMs) access to additional, relevant data. This approach improves response accuracy and transparency while avoiding the potential cost and complexity of FM training or fine-tuning. Many customers use Amazon Bedrock Knowledge Bases to help implement RAG workflows. You …

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Document intelligence evolved: Building and evaluating KIE solutions that scale

Document intelligence evolved: Building and evaluating KIE solutions that scale

Intelligent document processing (IDP) refers to the automated extraction, classification, and processing of data from various document formats—both structured and unstructured. Within the IDP landscape, key information extraction (KIE) serves as a fundamental component, enabling systems to identify and extract critical data points from documents with minimal human intervention. Organizations across diverse sectors—including financial services, …

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