#anomaly-detection
#anomaly-detection

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InfoQ

Slack Conquers Deployment Fears with Z-score Monitoring

Moving from manual to automated deployments can improve efficiency and consistency.

ReleaseBot at Slack uses anomaly detection and monitoring capabilities to enhance deployment processes. [ more ]

DevOps.com

Real-time anomaly detection simplifies impact correlation.

AI models reduce mean time to resolution and bridge IT-business gap. [ more ]

Bloomberg

Unsupervised learning is a type of machine learning where the machine learns from unlabelled data without any guidance or supervision.

Unsupervised learning has numerous applications, including image recognition, language processing, and anomaly detection. [ more ]

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