Nhlamulo Mabasa, MMFI (Wits) ll MCOM(UCT), codebow's data analytics genius, has some insights on independent proactive network anomaly detection. In an ever-changing landscape that demands faster response times, more accurate anomaly detection and less downtime, this model of unsupervised network anomaly detection could be the tool your business needs to set it above the rest! The Isolation Forest implementation demonstrated significant advantages for unsupervised network anomaly detection: 1. Proactive Risk Mitigation: Detected 92% of critical incidents before service impact 2. Operational Efficiency: Reduced MTTR by 65% through early fault localisation This approach transforms network management from reactive firefighting to predictive governance. Read more below: #Codebow #NetworkAnomalyDetection #SoftwareDevelopment #DataAnalytics #AI #AIDevelopment
David Fillis is this post purposefully aligned with your repost? Makes me wonder. May be I should go and ask the Oracle if it has been planned like that or if it is pure coincidence Nhlamulo Mabasa, MMFI (Wits) ll MCOM(UCT) ? https://www.linkedin.com/posts/david-fillis-102b9a75_white-paper-ai-in-the-age-of-anomaly-systems-activity-7356301435069775872-VX-h?utm_source=share&utm_medium=member_android&rcm=ACoAAAHmEFgBZNiiR4qrikt-Cg4-5FB4S0Si4VE