Many organizations rely on siloed tools and data and have limited views of operational conditions, often neglecting current or impending service incidents and problem root causes. IT operations management must focus on measuring and delivering on KPIs and SLAs for DX speed and quality.
Goals and Objectives
Streamline, simplify, and automate IT system and service management tasks and processes based on intelligence-driven operational management data and processes.
AI/ML technologies for clustering, topology visualization, dynamic auto baselining, dependency detection and mapping, event correlation and consolidation, anomaly detection, root cause analysis, predictive analytics, business impact analysis
Use Case Summary
Use of AI/ML and analytics to support the IT function, including AI-enabled IT operations management, IT service management, IT automation and configuration management, including functions like log analysis, performance management, application performance analysis, device provisioning, and help desk bots