Machine Learning Anomaly Detection Prevents Potential Issues As They Occur
Collect real-time data across thousands of inputs throughout your ecosystems with Sightline EDM®. We have identified the ideal evaluation metrics for anomaly detection while establishing a historical baseline, allowing you to identify data outliers that would otherwise be difficult to find.
We don’t just make it easier to detect anomalies, we make it easier to track the data. Sightline EDM® simplifies time series anomaly detection by providing a holistic view of your data in one central dashboard whether you work in one facility or several locations.
Sightline EDM® uses AI and time series anomaly detection to trace historical activity and identify potential data outliers. Establishing your historical baseline allows the software to measure the significance of the flagged anomalies.