Anomaly detection is a step towards resilience that can be used across the enterprise. Manufacturers with mature anomaly detection achieve substantial cost reductions from lower defect and scrap rates, better quality and reliability, prevention of unplanned equipment downtime, identification of process bottlenecks, and even optimized energy consumption. Most data streams simply confirm normal operations and provide no new actionable information; However, data anomalies often indicate a changed or abnormal behavior, leading to insights into how to correct issues before they become widespread or costly. This session will cover a variety of flexible, extensible solutions built on the TIBCO platform to automate detection of failure patterns, unstable processes, and abnormal equipment behavior.
Adam Faskowitz - TIBCO Software, Inc.
Tomáš Jurczyk - TIBCO Software, Inc.