Implementing artificial intelligence at the edge can not only reduce latency and networking costs but also improve security and unlock the power of distributed intelligence
Lots of things are being called 'smart' these days - everything from light bulbs to cars. Increasingly, the smarts come from some form of artificial intelligence or machine learning.
AI is no longer limited to big central data centers. By moving it to the edge, enterprises can reduce latency, improve performance, reduce bandwidth requirements, and enable devices to continue to operate even when there's no network connectivity.
Read More ...