Example Concept: AI-driven anomaly detection in analytics dashboards involves the use of statistical models and machine learning techniques to analyze historical data and establish a baseline of normal behavior. When current data deviates significantly from this baseline, the AI flags it as an anomaly, enabling marketers to investigate and mitigate potential problems proactively.