AIOps can increase the efficiency of IT workflows. Because AIOps encompasses a variety of key stages, learning its fundamental areas and best practices is essential for a successful rollout. AIOps comprises a number of key stages: data collection, model training, automation, anomaly detection and continuous learning. ITOps has always been fertile ground for data gathering and analysis. Combining IT with AI and machine learning (ML) creates a foundation for a new class of operations tools that learn and improve based on the data they gather.