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How Handmade.com modernizes product image and description handling with Amazon Bedrock and Amazon OpenSearch Service

How Handmade.com modernizes product image and description handling with Amazon Bedrock and Amazon OpenSearch Service

Handmade.com is a leading hand-crafts product marketplace, offering unique, seller-contributed items to customers around the world. With over 60,000 products in the catalog and some percentage of listings containing basic descriptions that could be improved for better search and search engine optimization (SEO) performance, the need for automation became evident. Manual processing, consuming on average …

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Cost tracking multi-tenant model inference on Amazon Bedrock

Cost tracking multi-tenant model inference on Amazon Bedrock

Organizations serving multiple tenants through AI applications face a common challenge: how to track, analyze, and optimize model usage across different customer segments. Although Amazon Bedrock provides powerful foundation models (FMs) through its Converse API, the true business value emerges when you can connect model interactions to specific tenants, users, and use cases. Using the …

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Zero Day Quest: Join the largest hacking event with up to $5 million in total bounty awards

Last year, we announced the largest hacking event in history: Zero Day Quest, with up to $4 million in bounty awards. The response from the global security community was incredible and helped improve security for our customers and partners. This year, Zero Day Quest is back with even more potential bounty awards: up to $5 …

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Introducing Amazon Bedrock AgentCore Browser Tool

Introducing Amazon Bedrock AgentCore Browser Tool

At AWS Summit New York City 2025, Amazon Web Services (AWS) announced the preview of Amazon Bedrock AgentCore browser tool, a fully managed, pre-built cloud-based browser. This tool enables generative AI agents to interact seamlessly with websites. It addresses two fundamental limitations: first, foundation models (FMs) are trained on large but static datasets and need …

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Introducing the Amazon Bedrock AgentCore Code Interpreter

Introducing the Amazon Bedrock AgentCore Code Interpreter

AI agents have reached a critical inflection point where their ability to generate sophisticated code exceeds the capacity to execute it safely in production environments. Organizations deploying agentic AI face a fundamental dilemma: although large language models (LLMs) can produce complex code scripts, mathematical analyses, and data visualizations, executing this AI-generated code introduces significant security …

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Observing and evaluating AI agentic workflows with Strands Agents SDK and Arize AX

Observing and evaluating AI agentic workflows with Strands Agents SDK and Arize AX

This post is co-written with Rich Young from Arize AI. Agentic AI applications built on agentic workflows differ from traditional workloads in one important way: they’re nondeterministic. That is, they can produce different results with the same input. This is because the large language models (LLMs) they’re based on use probabilities when generating each token. …

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Building AIOps with Amazon Q Developer CLI and MCP Server

Building AIOps with Amazon Q Developer CLI and MCP Server

IT teams face mounting challenges as they manage increasingly complex infrastructure and applications, often spending countless hours manually identifying operational issues, troubleshooting problems, and performing repetitive maintenance tasks. This operational burden diverts valuable technical resources from innovation and strategic initiatives. Artificial intelligence for IT operations (AIOps) presents a transformative solution, using AI to automate operational …

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Containerize legacy Spring Boot application using Amazon Q Developer CLI and MCP server

Containerize legacy Spring Boot application using Amazon Q Developer CLI and MCP server

Organizations can optimize their migration and modernization projects by streamlining the containerization process for legacy applications. With the right tools and approaches, teams can transform traditional applications into containerized solutions efficiently, reducing the time spent on manual coding, testing, and debugging while enhancing developer productivity and accelerating time-to-market. During containerization initiatives, organizations can address compatibility, …

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