Analytics at the Edge: Real-Time Results in the Industrial IoT
The Quicker Path from Analysis to Action
Advancements in artificial intelligence and the movement of greater compute to the edge are enabling analytics on devices at the edge of an IoT system. This capability allows decisions to be automated and action to be initiated in real time, without sending data to the cloud for analysis and then decisions back to the device. This paper examines the new trend toward edge analytics, contrasts it with traditional cloud-based approaches, and looks at the benefits this new model can yield in monetizing the IoT.
- Why processing and analyzing data "at the source" is becoming a reality
- Ways to lower the risk of latency and provide real-time responses in edge devices
- How to achieve real-time edge analytics in a single, seamless solution