Local AI Inferencing Will Become Standard In Edge Applications In 2018

Edge-based inferencing will become a foundation of all AI-infused applications in the Internet of Things and People and the majority of new IoT&P application-development projects will involve building the AI-driven smarts for deployment to edge devices for various levels of local sensor-driven inferencing.
By James Kobielus, SiliconANGLE.
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Artificial intelligence (AI) is rapidly being incorporated into diverse applications in the cloud and at the network’s edge, especially in embedded, mobile, and Internet of Things and People (IoT&P) platforms.


Edge-based inferencing will become a foundation of all AI-infused applications in the IoT&P. By year-end 2018, the majority of new IoT&P application-development projects will involve building the AI-driven smarts for deployment to edge devices for various levels of local sensor-driven inferencing.

By year-end 2018, IoT&P development will shift toward applications that perform edge-based local inferencing on locally sensed data. This inferencing will encompass the full range of decisions that may be required of edge devices, including performing high-speed correlation, prediction, classification, recognition, differentiation, and abstraction based both on sensor-sourced machine data, plus