Imagine: At 4 p.m., your network traffic spikes and you receive 100 alerts. How do you know if this is normal activity or an indication that something’s wrong? Splunk IT Service Intelligence, with its powerful machine learning capabilities, helps you baseline normal from abnormal behavior in real time. It also alerts when a KPI departs from historical behavior or diverges from its peers—empowering users to both minimize false positives and identify emerging problems.
Join us in this webinar to dive into:
- The inner workings of adaptive thresholds and anomaly detection
- Configuring granular time policies and thresholds
- Machine learning techniques to analyze historical trends and dynamically adapt thresholds