The value of AI in IoT analytics - FutureIoT

In many parts of Asia, seasonal torrential rains bring with them floods that damage property and livelihood of citizens. Whereas in the past, city administrations, citizens and businesses can do almost nothing but ride out the unwelcoming waves of flood water and the potential diseases these carry, technologies like the Internet of Things (IoT), machine learning (ML) and artificial intelligence (AI) may provide respite for more forward-looking leaders. This is the case of the DKI Jakarta Provincial Government's Flood Control System in the Jakarta Smart City application. Developed by Jakarta Smart City in collaboration with the Jakarta Water Resource Service (DSDA) to optimise flood risk management in Jakarta, the project involved the use of IoT, AI and ML as part of an early warning system against the risk of floods in the city. As more organisations deploy IoT in commercial and industrial environments, the amount of data that is derived from these devices and sensors may prove important in improving quality, operational efficiency, and in the case of Jakarta – saving lives and property from natural disasters.