web log analysis

An overview of applying AI to web log data, explaining how machine learning and anomaly detection extract user behavior patterns, spot errors and security threats, and forecast traffic. It outlines preprocessing pipelines, feature engineering, clustering and NLP for URLs and agents, and shows how insights drive faster sites, targeted content, and proactive ops, while noting privacy, bias, and tooling challenges.