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How TReNDS automates root-cause analysis with Amazon Bedrock
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AWS Machine Learning
by Vitaly Omelchenko
TReNDS, a research center at Georgia State University, built an agentic AI pipeline on Amazon Bedrock and the open-source Strands Agents SDK that automatically investigates production errors in real time, reducing root-cause analysis from 15 to 30 minutes of manual work to under
TReNDS, a research center at Georgia State University, built an agentic AI pipeline on Amazon Bedrock and the open-source Strands Agents SDK that automatically investigates production errors in real time, reducing root-cause analysis from 15 to 30 minutes of manual work to under 60 seconds.
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This summary is sourced from AWS Machine Learning. For the complete article with full details, research data, and author insights, please visit the original source.
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