IoT in the smart cities allow cities to use managed
AI APPLICATIONS
Cloud-based solutions
IoT in the smart cities allow cities to use managed
services to scale their According to Markets and Markets , the limited resources and global IoT in the smart cities market size reduce the total cost of is set to grow from US $ 130.6bn in 2021 to ownership ( TCO ) for smart US $ 312.2bn by 2026 . Various factors such city solutions . as increase in adoption of IoT technology Clegg also notes that for infrastructure management and city cloud technology gives monitoring and an exponential rise in smart cities the flexibility urban population are expected to drive the and ability to adapt more adoption of IoT in smart cities solutions swiftly to change : “ We need and services . to be flexible about the data network . We ’ ll potentially need edge computing to move processing close to the data so we can respond with low latency . We may need to replicate and migrate data around the city to provide services to mobile devices - think smart vehicles . It ’ s all very well being smart , but if we can ' t make the insights available where they ’ re needed , when they ’ re needed , it could just become stale data sitting on the shelf that adds no value .”
He goes on to explain that , although storing data is a first important step , it is also equally as important to cleanse the data to curb inaccuracies and erroneous outputs , which are often generated in unstructured formats .
“ Superior connectivity and the ability to handle data variety , alongside an AI-powered data management system , can add efficiencies to the process of connecting to all devices and abide by specified protocols to gain access to the needed data in time . The use of AI in data management also enables real-time analysis of a large pool of data and can even help spot anomalies . Similarly , AI can help with spotting data drift , which can often be attributed to system updates ,” he concludes . aimagazine . com 73