On The Edge With Ekkono #1: Why Machine Learning Needs Edge

The term "Internet of Things" was coined in 1999 by the British technology pioneer Kevin Ashton to describe a system where the Internet is connected to the physical world via ubiquitous sensors. These sensors nowadays equip all connected products and companies in all industries work on applying - and advancing it, from industrial to consumer products. Today's connected products need to be smarter in order to reach their full potential. They also need to act more sustainable to be accommodated within the boundaries of the planet. To do this we use Machine Learning. And not just any ML, but Edge Machine Learning, where we process data locally, onboard the device. The word Ekkono means 'cognition' and that is what we do, we give things a cognitive mind by making them self-learn the normal condition, understand the surrounding environment it operates in, and detect or even predict when the conditions change. Watch this very first "On The Edge With Ekkono: Why Machine Learning Needs Edge" and learn the true benefits of using Edge Machine Learning.