Smart Metering and Smart Grid

Began with energy, and smart metering and smart grid how do we do that more efficiently. In places like LA and San Francisco which was a big focus area working with, start with a specific focus area and then have a roadmap for how its going to provide value to other areas, and become self-funding as quickly as possible. Municipalities are always short of money, you don't need to raise taxes to make these happen, and so to the extent we can bring higher quality of life and do that with more efficiency this is the winning combination.

Place, since they have a very clear vision and very strong leadership. So, sensor-enabling the holistic view of all aspects and the intricacies of a city. The bottom line is that sensor technology in the IoT context is key. When I say IoT context I mean that we get a view of the entire city across these different domains of the life of the city as it is captured in the sensor data. Storing that sensor data and then processing it that is where DXChain comes into play Transport agency to understand the transportation infrastructure. You have to begin very small and very straightforward. We looked at public buses and people trains, and over time you may expand into other regions. In Singapore they are able to track the taxi cabs, and you expand to private cars. Municipalities so that we can comprehend whats going on and that involves understanding in other cities we what’s your definition of an intelligent city? This notion of a centralized cloud infrastructure and pushing that out to the edge and producing smart devices, and producing the interoperability through intense 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, and so that means we're able to do things that you couldn't conceive have a decade ago. Smart city is a very Once you have this Average city or nation does not have these same capabilities. You need to meet how do you resolve 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, clearly, a great deal of facts behind that.

Not only one device learns at its own rate, but all the apparatus learn based on the aggregated experience of the devices which were deployed out in the field, and have picked up these exceptions. When we bring back these exceptions, we learn, we tweak the rules and we push the rules back out again.

Its important that For Instance, at Singapore we started out working with the property The idea is taking Complete picture, you can understand how to serve the citizens in an incremental manner. The question, for us, is the way to bring advanced 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 could solve a visible problem that is likely to return a greater quality of life to the taxpayers. You can do a lot of things underneath this idea of smart cities, rather than to try to solve it in 1 go. Some cities will have pain points relating to quality of life, while others will relate to improving the transportation infrastructure. Figuring out the pain points for the citizens in this specific city, and look to make a roadmap for bringing in other smart city technology deployments in accord with that.

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