AI Case Studies
IT
Profet AI helps IT departments optimize IT operations, reducing system downtime and faults. By monitoring and analyzing system data, potential security threats and performance issues can be predicted and prevented.
Application Scenarios
Root Cause Analysis, Dangerous Email Detection
Application System Log Analysis
When a system anomaly occurs, IT personnel analyze system logs to identify the root cause.
Pain Points Analysis:
- Large Log Data Volumes: Manual analysis is time-consuming and labor-intensive.
- Rare Anomalies: Anomalies occur less frequently than normal events, leading to imbalanced labeled data, making traditional methods less effective.
- Complex Causes: Multiple factors can cause anomalies, making traditional analysis methods less effective.
Outcome Benefits:
- Faster Root Cause Identification: Machine learning quickly identifies key factors, reducing troubleshooting time by 18%.
- Real-time Monitoring and Alerts: Automated alerts help detect and address issues promptly, improving user experience.
External Threat Email Detection Model
In modern enterprises, external threat emails pose significant security challenges. Even with software filtering, IT personnel need to verify potential threats, which is time-consuming and costly.
Pain Points Analysis:
- Manual Processing: IT personnel manually check emails flagged by software, consuming significant time and resources.
- Lack of Custom Solutions: Existing software can’t customize detection to specific company needs, leading to less accurate prevention.
Outcome Benefits:
- Reduced Manual Effort: No longer need IT personnel to check each email, saving 20% in human resources, allowing IT teams to focus on strategic tasks.
- Improved Detection Efficiency: Custom threat email detection models improve screening efficiency by 8%.