Edwin AI Event Intelligence Dashboard

Last updated - 12 February, 2026

The Edwin AI Event Intelligence Dashboard provides a centralized view of alert and event activity and summarizes the impact of noise reduction, correlation, and deduplication (Event & Alert Intelligence capabilities).

You can use the Event Intelligence Dashboard to do the following:

Understand the impact of event intelligence (noise reduction, correlation, and deduplication).
Track incident and insight volume over time.
Identify the highest-volume alert contributors by CI and by data source.
Quickly filter the dashboard to a supported time range (including Last 90 days).

Visual Components of the Edwin AI Event Intelligence Dashboard

Noise Reduction—Displays the number of insights and singletons divided by sum of de-duplicated events. This metric indicates the effectiveness of Edwin AI to reduce total IT operations work by applying correlation and de-duplication to minimize the number of records an IT operator must pay attention to.
Correlation Effectiveness—Displays the number of correlated alerts divided by the total number of alerts. This metric indicates the effectiveness of Edwin AI’s correlation models to group multiple alerts together into a correlation.
Deduplication Effectiveness—Displays the number of alerts divided by sum of de-duplicated events. This metric indicates the effectiveness of Edwin to de-duplicate repeated identical events into a single alert and maintain state.
Total Incidents—Displays the total number of incident tickets in the selected time range. This includes both alerts and insights.
Total Insights—Displays the total number of insights generated in the selected time range.
Total Alerts—Displays the total number of alerts in the selected time range.
Top Alerts —Identifies which integrated source is contributing the most alerts.
- Top Alerts by CI—Displays CIs with the most alerts
- Top Alerts by Data Source—Displays the “Name” or in other words, the datapoint-datasource, that generated the most alerts.