That's where a lot of people, in my opinion, missed on it. It's nice to crunch this data up in a data center, but how do you even get it? You get it through the sensor networks. You get it through the networks out there with intelligence throughout that not only can see the traffic patterns, they will make most of the decisions and only bring the relevant information back to the central site. Because you can't handle 50 billion, much less 500 billion devices, video, wireless, etc. You want those decisions made early in the field where the crops are.
You want to say: I'm not getting enough water on this. I need to change this. Or it's fine on water. Don't sprinkle it today, it costs us extra money. Increase the productivity on an acre by 50% or 100%, the insight to say this is what really made the difference in fertilizer within this location. Those decisions should all be made locally. But then as you look through as it comes up through the supply chain, your ability to go back to which crops literally might have been the source of a problem, or which crops do you really want to track? It connects everything in a way that really gets exciting. But the only way you can bring this to light is you've got to have the ability to get the right information to the right person over the right machine. The right machine at the right time to make the decision.
The top of that Internet of Everything chain is really around Big Data and analytics - what you do with all the data that you're getting. Should we expect Cisco to play more in the application space there? Would you acquire more of the analytics capabilities?
Well first, our strength has always been to do this with an open architecture, which is part of the reason the steering committee trusted us. Secondly, we naturally gravitate to partners. We'd much rather make the pie bigger and our slice smaller of the pie by percentage, but bigger by definition, a whole different approach. Our goal is to completely lead here and do it with a combination of partners, because $14 trillion of profits, that's going to be a huge amount for a whole bunch of people. We would do it through partners, partner with a GE as an example, partner with an AT&T, a Schneider Electric, a defense agency group, an automotive company. By the way, we're in all of them around the world in terms of positioning. We will provide part of it with programmability. We talked about focusing on that manufacturing floor, you would probably want to program down to that shop. You don't want to program back up in the cloud.
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