Entering new battlegrounds of connected devices

There is a new set of battlegrounds brewing around platforms and ecosystems and what and who controls the data and the flows needed to build these thriving environments, reliant on the cloud.

One such battle zone will be on connected devices and who controls and delivers what.

It is not unlike the battleground of the mobile phone device that became famous in an internal note to Nokia employees that I wrote about, back in 2011 “Welcome to the brave new world of innovation ecosystems”.

We are coming to the time that will have similar high stakes of who thrives (and survives) by what they own or control in the looming battles ahead, the one of who and what connects and the way these connections generate, influence and control the connectivity required; to connect the ‘intelligent’ devices to platforms, clouds and all the partners in the ecosystem, seeking insight and understanding to exploit and explore new efficiency and growth opportunities, collecting the new gold called ‘fluid data’.

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Are you in a fog or a cloud? Get ready for more complexity to come

So what is the difference between a fog and a cloud? Well, actually bandwidth is part of the answer and where data needs to be situated.

Slow connections are driving the cloud closer to the actual asset that has the information, the cloud needs. “Fog computing, or edge computing” is getting closer to those local computers and devices to solve this bandwidth problem we all will be having it seems.

Solutions are looking far more to the how and where we store data and how we are setting about how to access it.

Fogging solutions are coping with the problem that sensor loading is creating altering what goes to the cloud and why

The reason why I’m interested in this, on a dedicated site discussing platforms and ecosystems, is that this fog computing is attempting to solve multiple problems at the edge where innovation lies far more for us to understand, where the devices and their users generate the insights and raw data. Continue reading