Interesting blog post which combines two different yet importante developments —Amazon Go and a trial by AT&T that have nothing to do with each other— and ties them together. Amazon Go will use a series of mechanisms to allow users to buy stuff without going through a cashier, while learning user habits. AT&T is trying the usage of high quality images to get information that would otherwise be collected by sensors. If the AT&T trial proves to be successful, then big data programs could rely on high quality images. If video becomes the main source to get strategic data, networks are going to be put under a lot of pressure on the uplink, as the article states, which is obviously a good thing for companies like Nokia. In any case, using video for Big Data sounds as much interesting as inefficient, as it would seem to imply higher network costs to get information already obtained via other inexpensive sources, such as sensors.
Cameras make the best sensors, all eyes on Amazon Go
I noticed with interest the announcement of Amazon Go, the concept grocery store that will open in Seattle in January and use sensors to record what you’ve taken from the shelves. If you haven’t seen how it works yet, watch this: Users scan their phone upon entry, take things off the shelves, then just walk out – and whatever they’ve taken will automatically be billed to them … Keep reading the original post here