Reinventing the smart city implementation process with tools targeting integration and interoperability, security, and scalability is a logical and essential step for governments to consider.
FREMONT, CA: Citizens today expect a lot from their government, and they want robust, user-friendly digital services. Collaboration tools, intuitive websites, self-service portals, and mobile applications, and many others have become standard in every facet of life, and citizens expect no less from their government. Expanding digital services in society can make the government more attractive to people. Spending on building a smart city is the best way to achieve this goal. Smart city initiatives can drastically improve the quality of life of the citizen community. Here is how governments can help streamline, secure, and scale the evaluation of new technologies for smart city implementation.
Governments must consider how different technologies like cameras and sensors will function together in an interconnected ecosystem when deploying smart city technologies. The interoperability of systems is one of the important components of a smart city. In a conventional concept, each novel technology would have to be tested individually against the existing system. Still, a platform can automate much of the process and test all the technologies simultaneously. Using artificial intelligence in a virtual environment can simulate the same network behavior, including fluctuations, latency, and bandwidth from the original environment, to create the best testing ground for evaluation.
The lack of standards and policies makes it even riskier for governments working with new vendors and products on interoperability. Giving vendor access to private data and the IT environment is a major security risk, but it is necessary for a smart city to simulate an environment. Fortunately, some tools can protect information and secure the evaluation process. By anonymizing or mimicking a small sample of data, a PoC platform can generate records, giving the PoC environment a realistic data set and without compromising security. This can effectively reduce the dangers of data breaches since the generated data will be worthless while the sensitive data is anonymized.