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Run Generative AI inference with Amazon Bedrock in Asia Pacific (New Zealand)

Run Generative AI inference with Amazon Bedrock in Asia Pacific (New Zealand)

Kia ora! Customers in New Zealand have been asking for access to foundation models (FMs) on Amazon Bedrock from their local AWS Region. Today, we’re excited to announce that Amazon Bedrock is now available in the Asia Pacific (New Zealand) Region (ap-southeast-6). Customers in New Zealand can now access Anthropic Claude models (Claude Opus 4.5, …

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Building age-responsive, context-aware AI with Amazon Bedrock Guardrails

Building age-responsive, context-aware AI with Amazon Bedrock Guardrails

As you deploy generative AI applications to diverse user groups, you might face a significant challenge that impacts user safety and application reliability: verifying each AI response is appropriate, accurate, and safe for the specific user receiving it. Content suitable for adults might be inappropriate or confusing for children, while explanations designed for beginners might …

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Accelerating LLM fine-tuning with unstructured data using SageMaker Unified Studio and S3

Accelerating LLM fine-tuning with unstructured data using SageMaker Unified Studio and S3

Last year, AWS announced an integration between Amazon SageMaker Unified Studio and Amazon S3 general purpose buckets. This integration makes it straightforward for teams to use unstructured data stored in Amazon Simple Storage Service (Amazon S3) for machine learning (ML) and data analytics use cases. In this post, we show how to integrate S3 general …

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Introducing Amazon Polly Bidirectional Streaming: Real-time speech synthesis for conversational AI

Introducing Amazon Polly Bidirectional Streaming: Real-time speech synthesis for conversational AI

Building natural conversational experiences requires speech synthesis that keeps pace with real-time interactions. Today, we’re excited to announce the new Bidirectional Streaming API for Amazon Polly, enabling streamlined real-time text-to-speech (TTS) synthesis where you can start sending text and receiving audio simultaneously. This new API is built for conversational AI applications that generate text or …

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Unlocking video insights at scale with Amazon Bedrock multimodal models

Unlocking video insights at scale with Amazon Bedrock multimodal models

Video content is now everywhere, from security surveillance and media production to social platforms and enterprise communications. However, extracting meaningful insights from large volumes of video remains a major challenge. Organizations need solutions that can understand not only what appears in a video, but also the context, narrative, and underlying meaning of the content. In …

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Deploy voice agents with Pipecat and Amazon Bedrock AgentCore Runtime – Part 1

Deploy voice agents with Pipecat and Amazon Bedrock AgentCore Runtime – Part 1

This post is a collaboration between AWS and Pipecat. Deploying intelligent voice agents that maintain natural, human-like conversations requires streaming to users where they are, across web, mobile, and phone channels, even under heavy traffic and unreliable network conditions. Even small delays can break the conversational flow, causing users to perceive the agent as unresponsive …

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