Description:
Integrate machine learning-based anomaly detection for time-series data in dashboards, highlighting outliers or unusual spikes automatically.
Justification:
Many operational dashboards show KPIs but lack contextual intelligence. AI-based pattern recognition adds proactive insight.
Impact:
Early detection of anomalies improves decision-making for utilities, logistics, and public safety.
