The adoption of new systems, which make the cities healthier, safer, and more prosperous, has been slower than expected in most cities. Only some regions have accelerated to the front of the line, courtesy of the recent paradigm shifts
FREMONT, CA: The idea of a smart city is imprinted in the technology sector’s viewpoint diverting technologies to innovate more in the domain. The cities are called smart when technology is incorporated into all fields, raising the level of ease with improved scope for research and development. The adoption of these systems into the daily life of the people living in cities, making them healthier, safer, and more prosperous, is occurring at a slower pace than expected. The abrupt hike in artificial intelligence (AI) algorithms, broader availability of low-cost IoT sensors, and distributed hybrid multi-cloud IT architectures have unraveled a plethora of opportunities in the development of smart cities. Factors that drive the growth of interconnected smart cities are:
1. Overflowing Megacities:
The overflowing population in the metropolitans around the world has become a crucial factor. The ever increasing rate of urbanization is supporting the IT buildout and interconnection. The proximity between the digital services and users is of utmost importance, as it displays the support to the exploding urban demand. Private traffic exchange has enabled businesses and smart city providers engaged in the development of the megacities to solve security challenges. This fuels the growth of interconnection, specifically for those companies that require private connections to Network, Cloud, and IT providers. The technology-based companies are also empowered by data management services providers to manage their data assets intelligently and extract actionable insights for increased revenue growth.
2. Risks Posed from Geographic and Environmental Factors:
Many smart city systems like smart grids, air and water management, intelligent transportation, integrated waste collection, and disaster responses will be rebuilt, demolishing the legacy systems. By doing so, it organizes development in the cities efficiently, sustainably, and resiliently. Cities can be trained to effectively accustom to the demand and counter the issues with the usage of sensor technology coupled with AI algorithms that provide real-time insights. To manage the vast amounts of data, fast and reliable network speeds with minimal latency are mostly the critical solutions. A complex network of sensors collect, filter, and analyze the data obtained in real-time. In a region that is already subjected to significant environmental risk, all smart systems designed needs to be sustainable.
3. Timely Intervention from the Government:
Rapid growth and environmental risks jointly exert pressure on the governments to streamline its focus on intelligent urban planning and solutions. Governments which are open to investing in smart city initiatives and partner with the private sector can act as catalysts in the development of smart cities. Every smart city initiative is unique to its geographical profile but aims to achieve a centralized result. This goal is attained only by pursuing different strategies that are cohesively bound to address paramount risks, while also targeting ahead to accomplish the development sustainably.
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