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Citizens and innovators increasingly demand open data, that anyone can access, use and share, to better understand how the city pulses and improve policy decisions.  An effective, secure, non-intrusive and flexible way of providing open data is to leverage edge computing. Edge computing provides a way to deploy realtime services, that avoid data intrusion issues, while enabling an evolutive approach for the city. However, in order to scale and deliver its full innovation potential, edge computing and open data must form the integral part of a governance policy. This blog explores some of the aspects such a governance policy must address and how.

Edge computing, with its ability to process data near its source, delivers secure and future proof solutions, without a round trip to the cloud. In this blog post, we explore examples of how data coming from a variety of simple sensors can be combined to produce better and new smart city services.

Are you asking yourself when edge computing makes sense, and when it doesn't? Well, you are the right place. Read on... Why does edge computing matter? Edge computing is a response to the explosion of data produced by IoT, sensors and other new digital sources. The idea is instead of pushing the raw data to the cloud for processing, let’s do the opposite and move the compute near the source of data.  I like to call this near data processing. 

If AI were a rocket, the first stage would be the cloud, the second the edge, and data would be the fuel Strategic leaders investing in AI will need a complete rocket to boost business

There have been wild predictions recently that the edge will overtake if not kill the cloud in terms of volume of data processed. While it is helpful to raise awareness of the potential of edge computing, which is undoubtedly huge, it is also an oversimplification. Instead of adding fuel to this dispute, I prefer to offer peace and bring those two fundamental building blocks together.