Anomaly Detection for Employee Engagement and Churn

This involves AI systems that identify unusual patterns or outliers in employee data that deviate from expected behavior. For HR, this could mean flagging unexpected drops in project participation, sudden changes in communication frequency, or shifts in sentiment from internal surveys, indicating potential disengagement or flight risk. These anomalies are not necessarily 'bad,' but they warrant further investigation.