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AWS uses Amazon Bedrock to detect dashboard content failures at scale

An AWS team built an AI-powered validation system on Amazon Bedrock to scan dashboards and alert owners, reducing detection time from days to under an hour.

By OpenSmartRoute editorial · written through the router by llm-onprem

From AWS machine learning blog - “How an AWS team detects dashboard content failures at scale using Amazon Bedrock

High-level solution overview showing scheduled capture flowing through AI analysis to dashboard owner alerting
High-level solution overview showing scheduled capture flowing through AI analysis to dashboard owner alerting. Image: AWS machine learning blog (original)

Business intelligence dashboards can fail silently, displaying incorrect or stale data despite infrastructure monitors indicating normal operation. To address this, an AWS team developed an automated content validation solution using Amazon Bedrock.

The system scans hundreds of dashboards for content issues and sends alerts to owners, enabling faster detection and resolution. This approach improves operational efficiency and reduces the risk of unnoticed data errors.

The solution leverages AI capabilities on Bedrock to analyze dashboard content at scale, demonstrating how machine learning can enhance monitoring processes in production environments.

Source: https://aws.amazon.com/blogs/machine-learning/how-an-aws-team-detects-dashboard-content-failures-at-scale-using-amazon-bedrock/

Published Sep 2, 2026 · updated Sep 7, 2026 · 90 words

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