Analytics
Detect Anomalies Before They Become Problems
ML that learns normal patterns and alerts on deviations. Monitor systems, transactions, and behavior for early problem detection.
Key Benefits
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Early problem detection
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Reduced false positives
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No rules to maintain
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Adapts to changing patterns
How It Works
1
Baseline
ML learns normal patterns from historical data.
2
Monitoring
Real-time data streams analyzed against baseline.
3
Detection
Statistical and ML methods identify anomalies.
4
Correlation
Group related anomalies to identify root cause.
5
Alerting
Prioritized alerts with context for investigation.
Industries
IT OperationsManufacturingFinanceSecurityIoT
Technologies Used
AutoencodersIsolation ForestTime Series MLStreaming AnalyticsStatistical Methods
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