With the Internet of Things (IoT), a digital twin is created to have a virtual representation of a remote device or system. The digital twin shows you the device’s operating condition, no matter where it is physically located.
IoT devices have a number of sensors installed on them, as well as sensors for the environment around them. Analytics can bring this sensor data together to create a true real-time digital twin.
Previous presentations have shown how streaming analytics are used for device state estimation and anomaly detection. Join Brad Klenz of SAS as he explains how deep learning can be added to your digital twin for more understanding.
** Please note this Lunch & Learn will be held in the E-Clinic, on the 2nd floor of the 310 S. Harrington HQ Building.**