Levels of Smartness: The Depth of Technology Enactment
Depending on the city’s organisation capacities and conditions, a Smart City Project may display different level of technological “smartness”. Mu et al. (2021) specified three level of “smartness” of intelligent technology that cities adopted to support the government function. The different level of technological intelligence can be utilised by the government depending on the city’s needs.
- Computational Intelligence
This is a Low-level of Smartness with technology that can read, process and analyse structured or semi-structured data quickly. Computational Intelligence can be realized by installing sensors, constructing supra-computer centers, and designing a class of algorithms that helps with solving the complex computing problems. an example of this technology is Traffic data analysis to optimise traffic routes.
- Perceptual Intelligence
This is a Medium-level of Smartness with technology that can recognise voices, images, gestures and actions. This level of technological intelligence can recognise certain patterns that helps authorities with decision making. For example, monitoring elderly’s health situation and spot irregularities or deviation from normal activities. This cuts the need for human resource to manually track certain data to spot for problems.
- Decision Intelligence
This High-level of Smartness is about the ability to process data or recognize voice and image and the ability to understand the meanings of the voices, the images, and even the strategies and make autonomous decisions based on previous data processing and analysis. Example of use is monitoring illegal activities and making sanction decisions.
Reference:
Mu, R., Haershan, M., & Wu, P. (2022). What organizational conditions, in combination, drive technology enactment in government-led smart city projects?. Technological Forecasting and Social Change, 174, 121220.
