Air pollution is a major concern for many cities around the world. The World Health Organization estimates that air pollution causes seven million premature deaths each year. Governments and organizations have been working to monitor air quality and reduce pollution levels, but the task is complex and challenging. However, the use of predictive analytics in air quality monitoring is changing the game.
Predictive analytics is a technology that uses data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data. In air quality monitoring, predictive analytics can be used to forecast pollution levels and identify potential sources of pollution.