Fecha de publicación: 11/03/2022 Fuente: Wipo "BigData" Artificial Intelligent Framework System for Smart City Prediction using Big data Analytics Abstract: As cities continue to grow in the future, they must prioritise being smart. This word refers to a fully developed urban region equipped with intelligent systems that support its residents in living better lives. Individuals who strive to establish a "smart city" aspire to create intelligent services in a variety of sectors, such as health care and waste management, but also to increase the city's efficiency. This is what living in a "smart city" entails. Additionally, we seek a technology capable of forecasting what will occur in the near future. Internet data must be exploited to develop technologies capable of intelligently operating end systems in a smart city. We've developed a strategy for mitigating risk, delivering high-quality health care, enhancing city operations, and generally improving city life. This research focuses on the collection and management of data, as well as the development of prediction models capable of forecasting the future appearance of the city. In general, as we obtain more information, its value diminishes. Big data analytics is critical for producing accurate results and predictions based on the available data. Preventative medicine is superior to medication for treating an ailment. Our first priority should be to avert disaster rather than to prepare for one that is imminent. By utilising predictive models, we can forecast how the city will look in the future. We are able to accomplish this because we possess the appropriate instruments. There are more effective ways to expand the city until the problem is addressed before it gets unmanageable.