Cities are only ‘smart’ when IoT works in real time

#News(General) [ via IoTGroup ]

Global spending on smart city initiatives is expected to reach $327 billion by 2025 driven by strong growth in projects related to intelligent transportation data-driven public safety as well as platform-related and digital twin use cases. If cities architect this correctly they will be able to harvest unique operational insights from the myriad internet of things (IoT) devices generating massive amounts of data per second. Armed with real-time data analysis managers can rapidly respond to events requiring immediate investigation such as a sudden flood or a major traffic accident.

Despite the hoopla smart cities are failing to accomplish most of what’s being promised. If cities hope to integrate real-time data sources and devices – such as AI-enabled IP and thermal cameras IoT sensors real-time location data or edge sensors – and build applications that will be able to monitor assets events people and environments they need to be both event-driven and distributed. Reliability: A smart city isn’t going to be very smart if buggy applications require frequent downtime to install updates and to fix problems.

. Response time: Most deployments don’t feature the real-time response and situational awareness that are critical components of any smart city infrastructure. Most deployments don’t feature the real-time response and situational awareness that are critical components of any smart city infrastructure. Security: This will continue to be an issue as long as smart cities use applications which rely on databases that routinely capture everything. Given the massive amount of data ricocheting around a smart city network they justifiably worry about potential worst-case scenarios. But modern event-driven applications don’t require the use of databases. At its new Tokyo headquarters Softbank is using AI-enabled cameras IoT sensors location data

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