Centralized Cloud Infrastructure

in #dxchain6 years ago

Started with energy, and smart metering and smart grid -- how can we do that more effectively? In places like LA and San Francisco that was a significant focus area working with, begin with a particular focus area and have a roadmap for how it is going to deliver value to other places, and become self- funding as quickly as possible. Municipalities are always short of cash, you don't want to raise taxes to make these happen, and so to the extent we can bring higher quality of life and do this with more efficiency this is the winning combination.

Place, because they have a very clear vision and very strong leadership. The IoT. So, sensor-enabling the municipalities so that we can comprehend whats going on and that entails understanding have a holistic view of all facets and the intricacies of a city. The most important thing is that sensor technology in the IoT context is essential. When I say IoT context I mean that we get a view of the entire city across these different domains of the life of this city as its captured in the sensor data. Storing that sensor information and subsequently processing it, that is where DXChain comes into play Transport agency to understand the transportation infrastructure. You have to begin very small and very simple. We looked at public buses and people trains, and over time you can expand into other areas. In Singapore they are able to track the taxi cabs, and you expand to private cars. In other cities we what’s your definition of a smart city? This notion of a centralized cloud infrastructure and pushing that out to the border and producing smart devices, and creating the interoperability through extreme networking technology involving the interspersed devices throughout a city. Networks are becoming more cost effective to deploy, they are much faster than they were in terms of latency, so that means were able to do things you couldn't conceive of a decade ago.

Smart city is a very Once you have this Average city or nation does not have these very same capabilities. You need to meet how can you solve the problem of connectivity? That uses data and digital technologies to enhance the lives of its citizens. I would say it is that easy, but there is, of course, a lot of facts behind that. Not only one device reaches its own rate, but all the apparatus learn based on the aggregated experience of the devices that have been deployed out in the field, and have picked up these exceptions. When we bring these exceptions back, we learn, we tweak the rules and we push the rules back out again.

For example, in Singapore we started out working with the land complete picture, you can understand how to serve the citizens in an incremental manner. The question, for us, is the way to bring innovative analytics and electronic intelligence into different domains. So, avoid the Big Bang theory and take an incremental approach, which is focused on areas where we can solve a visible problem thats likely to return a greater quality of life to the taxpayers. Big umbrella. You can do a great deal of things underneath this concept of smart cities, and not to try to solve it in 1 go. Some cities will have pain points regarding quality of life, while some will relate to improving the transportation infrastructure. Figuring out the pain points for the citizens in this specific city, and then look to create a roadmap for incrementally bringing in other smart city technology deployments in accord with that.

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