Title: Anomaly Detection - Looking Back and Moving Forward
Time: 45 minutes
Data is the modern-day oil, with huge value often lying dormant or unseen. The safety industry is no exception. EHS professionals are presented with increasing amounts of data and a growing number of sources – from social media to ever expanding IOT and system integrations.
The opportunity to find valuable insights can easily be missed due to the amount and frequency of changing data. One way to automatically gain data insights faster and more efficiently is to introduce anomaly detection methods and similar event tools.These provide a powerful channel to automatically detect changes or shifts in safety data or similar patterns of events that previously would go unseen.
Rob Leech, Airsweb Product Development Director will deliver an engaging and interesting session on a subject relevant to all EHS professionals.
Be part of the start of this conversation, exploring the possibilities for using anomaly detection and similar event patterns to increase insights that are currently ‘unobserved’.
Definition: Anomaly detection refers to identification of items or events that do not conform to an expected pattern or to other items in a data set that are usually undetectable by a human expert.
Register to join next weeks insightful session, hosted by IOSH Magazine, Digital Editor, Kellie Mundell.