AIOps refers to the application of artificial intelligence for IT- and network-operations. AIOps utilizes big data platforms & machine learning to provide IT and operations teams a real-time understanding of any issues affecting the availability or performance of their systems or network elements. Using algorithmic techniques, operations can discover patterns to automatically spot and react to issues in real-time. AIOps enables AI/ML-driven monitoring and proactive action to ensure business continuity and customer satisfaction. AIOps supports operational staff with anomaly detection, automated root cause analysis, impact analysis, and predictive insights.
What are the main benefits of AIOps?
- Costs saving: AIOps automates the identification, classification and correlation of anomalies. This enables operations to pro-actively focus on real, actionable incidents. In addition, AIOps automates root cause analysis and remediation. AI will discover hidden issues and threats, uncover patterns, filter the noise, and aid decision making significant. This results in a significant and substantial cost reduction and boosts in productivity.
- Business Continuity: Some critical business processes heavily depend on IT applications and businesses expect an ‘always on and available’ performance. AIOps improves monitoring and enables proactive action to ensure business continuity.
- Customer satisfaction: AIOps significantly shortens Mean Time To Detect (MTTD) and Mean Time To Repair (MTTR). Using self-learning algorithms, IT and network operators can detect real issues and find answers to problems faster. This increases the availability of IT systems and network.