Brett Randall, Confluent, Solutions Engineer Data anomalies occur in many kinds of event streams, and detecting them in a timely manner can reduce risks and costs associated with invalid data, or undesired and sometimes criminal activities. Financial institutions can use stream-processing to detect potentially fraudulent transactions and activities, and SIEM teams can curate and detect patterns in security and event-log data. In this talk we’ll look at how stream-processing can be used to perform real-time anomaly-detection in streaming event data. https://www.meetup.com/KafkaMelbourne/events/274420345/