Senior Data Scientist TIBCO Software, CA, United States
Anomaly detection used across the enterprise is a step towards resilience. Manufacturers with mature anomaly detection achieve substantial cost savings from reduced defects and scrap, improved quality and reliability, prevention of unplanned downtime, identification of process bottlenecks, and even optimized energy consumption. Typically, most data streams simply confirm normal operations and provide no new actionable information. However, data anomalies often indicate a change or abnormality. Identifying these events early can lead to actionable insights about how to correct issues before they become widespread, expensive problems. This session will cover a variety of solutions built on the TIBCO platform to automate detection of unusual product fail patterns, unstable processes, and abnormal machine behavior.