Can AI take Smart Cities to the next Level?
While Artificial Intelligence (AI) is making inroads into all technologies and verticals, it will prove to be particularly relevant in smart city contexts. Legacy smart cities approaches have mainly focused on connectivity, sensors, and monitoring to offer better information and achieve modest, incremental cost savings and improved public services to citizens. Typical examples include smart waste management, smart street lights, and parking sensors. To take smart cities to the next level, both in terms of the quality of services and the cost at which they can be provided, AI and Deep Learning (DL) in particular, will be required.
AI, and the automation it enables, is going to be instrumental to lower costs, by reducing the number of employees performing manual monitoring and other tasks. Example use cases of AI in smart city contexts include:
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