AI

Evaluate AI agents systematically with Agent-EvalKit

Teams building AI agents typically evaluate them the way they evaluate any other software: by checking whether the output matches expectations. But agents that autonomously choose tools and sequence operations across multiple sources produce behavior that output-level testing cannot fully characterize. An agent might deliver a well-structured, actionable response while hallucinating, fabricating facts because its […]

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Spot trends faster, sort smarter: Unlocking Sparklines and Custom Sort in Amazon Quick

Amazon Quick Sight, the business intelligence capability of Amazon Quick, delivers a unified BI experience, from modern interactive dashboards and natural language querying to pixel-perfect reports, machine learning insights, and embedded analytics at scale. Amazon Quick brings together AI-powered agents for business insights, research, and automation in one integrated experience, helping teams work smarter and

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Optimize blueprint extraction accuracy in Amazon Bedrock Data Automation

Extracting structured data from unstructured documents such as invoices, contracts, tax forms, and enrollment applications is a common automation goal for organizations. Achieving high extraction precision remains a key challenge. Accuracy degrades when documents diverge from expected templates, formats vary across vendors, or scan quality is poor. With Amazon Bedrock Data Automation (BDA), you can

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Stop hand-tuning kernels: How Neuron Agentic Development accelerates AWS Trainium optimizations

As frontier AI models grow in scale and complexity, developers face a common challenge across every hardware platform: how do you extract the maximum performance and efficiency from the silicon their models run on. Whether delivering real-time experiences for world models, supporting deeper reasoning in agentic workflows, or reducing inference costs at scale, the gap

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Build an AI-Powered Equipment Repair Assistant Using Amazon Bedrock AgentCore

Managing equipment repairs for heavy farm machinery often requires technicians to diagnose issues without the right parts, leading to multiple site visits, extended downtime, and substantial financial losses, especially during harvest season. In this post, you build an AI-powered equipment repair assistant using Amazon Bedrock AgentCore that helps farmers and field technicians diagnose equipment problems,

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