SparkPredict® is a live data streaming platform, constantly acquiring data from assets. It can examine never-before-seen behavior using arti cial intelligence to provide advance warning of failures and deeper insights into operations.
The goal of SparkPredict is to identify critical or anomalous behaviors in each working asset and alert a subject matter expert (SME) to these behaviors. SparkPredict does not rely on traditional rule-based methods. Instead, it uses a multivariate analysis approach to pass data through models developed using deep learning and gain meaningful insights.
Advantages of SparkPredict:
1. Machine learning-based approaches are more effective than traditional rule-based methods in detecting anomalies
2. Early detection of failures help SMEs to proactively schedule maintenance to attend to them
3. Feature importance for each failure helps SME identify which parts of the asset are going to fail, and then focus their maintenance efforts
4. Automated retraining capability enables systems to learn continuously and detect every new behavior, thereby reducing time spent on updating existing rules
If you need help please contact the SparkCognition team at email@example.com.
If you are interested in purchasing access to the SparkPredict services please contact firstname.lastname@example.org.