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Scalable voice agent design with Amazon Nova Sonic: multi-agent, tools, and session segmentation

Design patterns for scalable voice agents matter for organizations that need to deliver fast, natural, and reliable voice experiences. Many teams face challenges like high latency, managing real-time audio, and coordinating multiple agents in complex workflows. In this post, you’ll learn how to use Amazon Nova Sonic, Amazon Bedrock AgentCore, and Strands BidiAgent to build …

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Everything Google Cloud customers need to know coming out of Google I/O

At Google Cloud Next ‘26, we unveiled the blueprint for the Agentic Enterprise, sharing our eighth-generation TPUs, Gemini Enterprise Agent Platform, a fully reimagined Agentic Data Cloud, Workspace Intelligence, and security built for the AI era.  Today at Google I/O, we’re delivering a new set of powerful AI innovations and models — and putting them …

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Prompting Amazon Nova 2 for content moderation

If you moderate user-generated content at scale, you need a system that catches policy violations accurately without over-flagging legitimate posts. A moderation system that misses harmful content puts you at risk, while one that flags too aggressively frustrates your audience. Every organization defines its own policies, so a single classifier rarely works for every use …

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

Organizations that must restrict access to sensitive documents increasingly rely on AI-driven search and chat to help employees find answers across large repositories. Coarse-grained permissions that control access at the knowledge base level work well for many teams, but sensitive documents require more granular control to restrict specific documents or folders to authorized teams, individuals, …

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Gemini Live Agent Challenge: Announcing the winners and highlights

The Gemini Live Agent Challenge is officially in the books! We challenged developers worldwide to break out of the traditional ‘text box’ paradigm by building next-generation AI agents. From our initial announcement to amassing 11,878 participants and 1,536 submitted projects from 151 countries, the results were nothing short of spectacular. The mission was to seamlessly …

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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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Cloud CISO Perspectives: How Google + Wiz changes multicloud strategy for CISOs

Welcome to the first Cloud CISO Perspectives for May 2026. Today, Vinod D’Souza, director, Office of the CISO, shares highlights from his RSA Conference fireside chat with Anthony Belfiore, chief strategy officer, Wiz. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog. If you’re reading this …

Why I disappeared for 3 Months & What’s Next

I’ve been quiet since November because I’ve been building. Over the past few months, AI has moved so quickly that the barrier between an idea and a high-powered system has essentially vanished. Even as a non-developer, I’ve found that working with AI is like having a small team of A-level developers who work for $40 …

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

Amazon’s Finance Technology (FinTech) teams build and operate systems for Amazon teams to manage regulatory inquiries in compliance with different jurisdictions. These teams process regulatory inquiries from authorities, each presenting different requirements, document formats, and complexity levels. Processing these regulatory inquiries involves reviewing documentation, extracting relevant information, retrieving supporting data from multiple systems within Amazon’s …