Improve bot accuracy with Amazon Lex Assisted NLU

Improving bot accuracy in Amazon Lex starts with handling how customers communicate naturally. Your customers express the same request in dozens of different ways, combine multiple pieces of information in one sentence, and often speak ambiguously. The Assisted NLU (natural language understanding) feature in Amazon Lex helps you improve bot accuracy by handling these natural …

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

This post was co-authored with Neevash Ramdial, Technical Marketing leader at Stream Building production-grade voice agents that feel natural and responsive is a complex engineering challenge. You must orchestrate speech-to-speech models, manage low-latency audio streaming, and handle connection lifecycle. You also need to deliver consistent experiences across web, mobile, and desktop applications. In this post, …

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

Amazon Quick is an AI-powered unified intelligence service that brings together an organization’s data, structured data and unstructured enterprise content like documents, emails, and knowledge bases into a single service where anyone can explore, analyze, and take action. With over 40 application integrations, Quick bridges the last-mile gap between insights and action so users can …

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

AI agents with unrestricted web access pose significant security risks. Without Chrome enterprise policies to control browser behavior, an agent might navigate to unauthorized domains, store credentials in the browser’s password manager, or download files outside approved workflows. Organizations with internal services that use a private certificate authority (CA) face an additional barrier. Every HTTPS …

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Build financial document processing with Pulse AI and Amazon Bedrock

Financial institutions process thousands of complex documents daily. Optical Character Recognition (OCR) errors in financial data can propagate through interconnected calculations, affecting analytical accuracy. While a single OCR error in a standard legal document might require only a quick manual correction, the same mistake in financial data can cascade through interconnected calculations, leading to systematic …

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