Part 5/11:
Next comes machine learning and analytics, where algorithms process accumulated data, detect anomalies, and recognize patterns indicative of issues. The goal here is to distinguish meaningful alerts from false positives, thereby significantly reducing alert fatigue.
Finally, automation plays a crucial role. AI models can diagnose root causes and automatically remediate common problems, freeing human engineers to focus on complex tasks requiring expert judgment.
This cyclical process ensures continuous learning, where AI models evolve based on new data and resolutions, leading to increasingly accurate and autonomous operations.