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  • Restrict access to sensitive documents in your Amazon Quick knowledge bases for Amazon S3

    calendar May 15, 2026 · aws.amazon.com/blogs/machine-learning
    Restrict access to sensitive documents in your Amazon Quick knowledge bases for Amazon S3

    In this post, we walk through how to configure document-level ACLs for your S3 knowledge base in Amazon Quick. You will learn how to set up and verify an ACL configuration that enforces document-level permissions across chat and automated workflows. Link to article: …


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  • Improve bot accuracy with Amazon Lex Assisted NLU

    calendar May 14, 2026 · aws.amazon.com/blogs/machine-learning
    Improve bot accuracy with Amazon Lex Assisted NLU

    In this post, you will learn how to implement Assisted NLU effectively. You will learn how to improve your bot design with effective intent and slot descriptions, validate your implementation using Test Workbench, and plan your transition from traditional NLU to Assisted NLU for both new and existing bots. Link to …


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  • Real-time voice agents with Stream Vision Agents and Amazon Nova 2 Sonic

    calendar May 14, 2026 · aws.amazon.com/blogs/machine-learning
    Real-time voice agents with Stream Vision Agents and Amazon Nova 2 Sonic

    In this post, you learn how to combine Stream's Vision Agents open-source framework with Amazon Bedrock and Amazon Nova 2 Sonic to build real-time voice agents that can be production-ready in minutes. You'll learn how the integration works under the hood, walk through code examples, and explore advanced capabilities …


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  • From siloed data to unified insights: Cross-account Athena Access for Amazon Quick

    calendar May 14, 2026 · aws.amazon.com/blogs/machine-learning
    From siloed data to unified insights: Cross-account Athena Access for Amazon Quick

    Today, we're announcing cross-account Athena access for Amazon Quick. With this feature, customers can query Athena data in other AWS accounts using AWS Identity and Access Management (IAM) role chaining, with query costs billed to the account where the data resides. Link to article: …


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  • Control where your AI agents can browse with Chrome enterprise policies on Amazon Bedrock AgentCore

    calendar May 14, 2026 · aws.amazon.com/blogs/machine-learning
    Control where your AI agents can browse with Chrome enterprise policies on Amazon Bedrock AgentCore

    In this post, you will configure Chrome enterprise policies to restrict a browser agent to a specific website, observe the policy enforcement through session recording, and demonstrate custom root CA certificates using a public test site. The walkthrough produces a working solution that researches Amazon Bedrock …


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  • How Amazon Finance streamlines regulatory inquiries by using generative AI on AWS

    calendar May 12, 2026 · aws.amazon.com/blogs/machine-learning
    How Amazon Finance streamlines regulatory inquiries by using generative AI on AWS

    In this post, we demonstrate how Amazon FinTech teams are using Amazon Bedrock and other AWS services to build a scalable AI application to transform how regulatory inquiries are handled. Each team using this solution creates and maintains its own dedicated knowledge base, populated with that team's specific documents …


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  • Automate schema generation for intelligent document processing

    calendar May 12, 2026 · aws.amazon.com/blogs/machine-learning
    Automate schema generation for intelligent document processing

    In this post, we'll show you how our multi-document discovery feature solves this problem. It serves as an automated pre-processing step, analyzing unknown documents, clustering them by type, and generating schemas ready for the IDP Accelerator. You'll learn how the new capability uses visual embeddings for automatic …


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  • Navigating EU AI Act requirements for LLM fine-tuning on Amazon SageMaker AI

    calendar May 12, 2026 · aws.amazon.com/blogs/machine-learning
    Navigating EU AI Act requirements for LLM fine-tuning on Amazon SageMaker AI

    In this post, we show you how to set up FLOPs tracking during LLM fine-tuning using the open source Fine-Tuning FLOPs Meter toolkit on Amazon SageMaker AI. You learn how to determine your compliance status with a single configuration flag and generate audit-ready documentation. Link to article: …


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  • Building web search-enabled agents with Strands and Exa

    calendar May 11, 2026 · aws.amazon.com/blogs/machine-learning
    Building web search-enabled agents with Strands and Exa

    In this post, you will learn how to set up the Exa integration in Strands Agents, understand the two core tools it exposes, and walk through real-world use cases that show how agents use web search to complete multi-step tasks. Link to article: …


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  • Introducing Claude Platform on AWS: Anthropic’s native platform, through your AWS account

    calendar May 11, 2026 · aws.amazon.com/blogs/machine-learning
    Introducing Claude Platform on AWS: Anthropic’s native platform, through your AWS account

    Today, we're excited to announce the general availability of Claude Platform on AWS. Claude Platform on AWS is a new service that gives customers direct access to Anthropic's native Claude Platform experience through their AWS account, with no separate credentials, contracts, or billing relationships required. AWS is …


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  • Manufacturing intelligence with Amazon Nova Multimodal Embeddings

    calendar May 11, 2026 · aws.amazon.com/blogs/machine-learning
    Manufacturing intelligence with Amazon Nova Multimodal Embeddings

    In this post, we build a multimodal retrieval system for aerospace manufacturing documents using Amazon Nova Multimodal Embeddings on Amazon Bedrock and Amazon S3 Vectors. We evaluate the system on 26 manufacturing queries and compare generation quality between a text-only pipeline and the multimodal pipeline. Link to …


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  • How Miro uses Amazon Bedrock to boost software bug routing accuracy and improve time-to-resolution from days to hours

    calendar May 11, 2026 · aws.amazon.com/blogs/machine-learning
    How Miro uses Amazon Bedrock to boost software bug routing accuracy and improve time-to-resolution from days to hours

    In this post, we dive deep into the architecture and techniques we used to improve Miro’s bug routing, achieving six times fewer team reassignments and five times shorter time-to-resolution powered by Amazon Bedrock. Link to article: …


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  • Amazon Quick: Accelerating the path from enterprise data to AI-powered decisions

    calendar May 11, 2026 · aws.amazon.com/blogs/machine-learning
    Amazon Quick: Accelerating the path from enterprise data to AI-powered decisions

    Amazon Quick helps turn your large enterprise data into fast and accurate AI-powered decisions. In this post, you will learn about five new capabilities of Amazon Quick that accelerate how data professionals deliver trusted AI-powered insights at enterprise scale. Link to article: …


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