engage machine learning
Engage Machine Learning for detecting anomalous behaviors of things - developerWorks Recipes
The total amount of data produced by IoT devices and systems is humongous and arriving with a very high velocity. However more than 90% of this data gets lost unless it is analyzed. One way of performing this analysis is by setting threshold which would trigger an action to be taken once it is breached. This can be seen by the danger zone readings as shown in the time-series data shown below. However, this approach is at best a reactive approach and at worst simply futile (as the event has already occured).