Artificial Intelligence

Uplifting conversion across the acquisition funnel with personalization using contextual bandits on AWS

Uplifting conversion across the acquisition funnel with personalization using contextual bandits on AWS

Generative AI makes it cheap to produce personalized content at scale, but which variation do you show each customer? Amazon Payments used a multi-objective contextual bandit on Amazon SageMaker AI to personalize an acquisition funnel, achieving a high single-digit conversion lift for one audience, and learning why content, not the model, was the constraint.

Building ambient agents with Amazon Bedrock AgentCore: From event-driven signals to human-in-the-loop workflows

Building ambient agents with Amazon Bedrock AgentCore: From event-driven signals to human-in-the-loop workflows

Ambient agents respond to events such as an Amazon S3 upload, a schedule, or an alert instead of waiting for a chat prompt. This post walks through building framework-agnostic ambient agents on Amazon Bedrock AgentCore using Amazon SQS, AWS Lambda, and Amazon DynamoDB, with a single ask_human tool and a Jobs page for human-in-the-loop review.

Simplify dashboard drill-down with the Amazon Quick Sight hierarchy filter

Simplify dashboard drill-down with the Amazon Quick Sight hierarchy filter

Amazon Quick Sight is a fully managed, cloud-native business intelligence (BI) capability for building and publishing interactive dashboards. The new hierarchy filter gives dashboard authors rich, multi-level filtering in a single compact control, reducing clutter and guiding readers to the data they need in fewer steps.

How uniopen customized Amazon Nova to their retail moderation policies for production deployment

How uniopen customized Amazon Nova to their retail moderation policies for production deployment

See how uniopen, a retail platform from Taiwan’s Uni-President Enterprises Group, adapted Amazon Nova 2 Lite to its content-moderation policies using supervised fine-tuning in Amazon SageMaker AI and prompt optimization. Business-relevant evaluation and release gates kept quality in check.

Query claims in natural language with Amazon Bedrock Knowledge Bases

Query claims in natural language with Amazon Bedrock Knowledge Bases

This technical how-to builds a conversational claims assistant on Amazon Bedrock Knowledge Bases that answers natural-language questions with citations. It covers ingesting claim documents from Amazon S3, querying with the AgenticRetrieveStream API, multi-turn follow-ups, metadata filters, and contextual grounding guardrails.

Build a multi-agent music production pipeline on Amazon Bedrock AgentCore Runtime Instances

Build a multi-agent music production pipeline on Amazon Bedrock AgentCore Runtime Instances

Amazon Bedrock AgentCore Runtime Instances gives multi-agent workflows AWS managed EC2 infrastructure with GPUs, persistent volumes, and multi-day sessions. In this post, we deploy a three-agent music production pipeline where the agents colocate on one GPU instance, share a filesystem, and hand work to each other to produce a finished track.

Amazon Bedrock expands Claude model availability to in-country inferencing in India

Amazon Bedrock expands Claude model availability to in-country inferencing in India

Anthropic’s Claude Opus 5, Claude Sonnet 5, and Claude Haiku 4.5 are now available in India through Amazon Bedrock geographic cross-Region inference. You can access these models while processing data within the India Regions, and get started from the Amazon Bedrock console or with the Messages, InvokeModel, and Converse APIs.

Introducing Anthropic models on Amazon Bedrock for in-region inference in Seoul and Singapore

Introducing Anthropic models on Amazon Bedrock for in-region inference in Seoul and Singapore

Amazon Bedrock now supports Anthropic’s Claude Opus 5 and Claude Sonnet 5 with in-region inference in Seoul, and Claude Sonnet 5 in Singapore. If you have local data processing requirements in South Korea or Singapore, you can now use these Anthropic models at scale, with inference processed entirely within the Region you call.