Why is Technology Used?
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Cloud Computing distributed computing IoT machine learning sensors
Brilliant presentation by Peter Levine, truly enjoyable! And – well over 2 years after, still solid prediction. My personal interest lies in turning ideas and predictions into real-life applications. While it is easy to see global corporations with vast amounts of Internet connected end-user devices benefiting from this model, how about an average (non-tech) company that just wants to use IT to boost their business efficiency? Title is, of course, meant to be provocative and Peter hardly means that cloud is vanishing and EVERYONE is moving to the edge…but I am just wondering if edge computing is ever gonna affect "mainstream" companies or will it be the toy of just a few…?
Peter inadvertently describes and virtually predicts IOTA here, spot on predictions, we'll wait and see how this future all unfolds
Peter inadvertently describes and virtually predicts IOTA here, spot on predictions, we'll wait and see how this all unfolds
These are all additional use cases to the existing cloud computing, that does not mean cloud is going away, you did not show how the cloud is being used currently and how each of the functions are going to be done by something else.
wow wow i was just up to the first 16 min i was already amazed great job love it.
Edge P2P distributed computing with virtual centralization of information was the most logical step after we conceive the idea of interconnecting computers. To this day I do not understand why ISPs exist if we all have computers, communication protocols and antennas. If it is only to interconnect continents, then it would be better to do crowfounding to deploy submarine cables and give a push to some sort of Netsukuku project. Too much centralization is not only bad from technical but even from ethical point.
This was a mind-blowing presentation–thank you! It also helps me see the value of the cryptocurrency IOTA.
Ever hear of the Borg collective?
I will call this 'The Borg Model' from now on. Resistance is futile.
This is kinda like Richard Hendricks idea in Silicon Valley lol
great talk !
We can underly a theoretical framework, calling it "decontextualisation-recontextualisation". The developments Peter Levine mentioned are oscillating through evolution since the first biomolecules. Context is synonymous with "proximal relation". Decontextualisation is a mainstream evolutional trend to substitute these proximal relations by more distant ones. Multicellularity or expanded nervous systems are examples. Decontextualisation is always followed by recontextualisation, e.g. formation of organs and central nervous systems. But we have to be aware, that decontextualisation is mainstream, recontextualisation is secondary.
so essentially TLDR version, from what you said, states that cloud computing is still relevant and important, though will either transform or be completely replaced due to the sheer size, mass and demand of real time data?
Interesting pitch. Title is probably a bit overemphasized but the massive amount of data that sensors collect is really huge. Peter mentioned autonomous cars and I recently wrote a short article on this : http://stefanradtke.blogspot.ie/2017/02/how-isilon-addresses-multi-petabyte.html
funny how every commenter is Indian (myself included!)
Excellent… living on the edge !!
it's great and much useful information for IT student.Today i find my answer about future transformation in IT world.Thank u sir.
My takeaway, learning in the cloud, inference at the edge. The edge could be your mobile device, or your home gateway, a compute engine that's always on and very compute 'capable'.
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