AWS Machine Learning Blog· Derek Ziehl·· 9 d ago
How Cornerstone OnDemand cut database diagnosis by 78% with Amazon Bedrock
How Cornerstone OnDemand cut database diagnosis by 78% with Amazon Bedrock
AI summary
Cornerstone OnDemand built Orion AI, a multi-agent system on Amazon Bedrock and Strands Agents, to turn database operations from reactive firefighting into proactive automation. A three-person team cut database diagnosis from 45 minutes to 10, a 78% reduction, in six months. See the design decisions other teams can reuse.
Selection record
Threshold 60Official, first-handFirst 34Second 30
Not admittedSum of both 64 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：多智能体AI系统与Amazon Bedrock应用
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: AWS Machine Learning Blog · aws.amazon.com