help us accomplish ambitious goals

IBM: Response to RFI

For decades, we have been stockpiling digital information. We have digitized the history of the world’s literature and all of its medical journals. We track and store the movements of automobiles, trains, planes and mobile phones. And we are privy to the real-time sentiments of billions of people through social media. It is not unreasonable to expect that within this rapidly growing body of digital information lies the secrets to defeating cancer, reversing climate change, or managing the complexity of the global economy. We believe that many of the ambiguities and inefficiencies of the critical systems that facilitate life on this planet can be eliminated. And we believe that AI systems are the tools that will help us accomplish these ambitious goals.

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

brilliant thoughts

@paul4innovating's avatarEcosystems 4 innovating

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…

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