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.

Suntory Beer is currently implementing an AI-based facility anomaly detection system at the new can filling line at its Natural Water Beer Plan in Kyoto Japan. Traditionally, at production lines at manufacturing sites where mass production is undertaken, field personnel mainly use sensor data from equipment to monitor usage thresholds. However, there is a need for experience and know-how in order to understand the fine changes in individual data, and passing these skills along is a challenge. The beverage maker's own in-house IT team at Suntory System Technology is currently working with NEC Corporation to implement the latter's NEC Advanced Analytics-Invariant Analysis system, which is set to go live in late May. The new AI-based anomaly detection system from NEC Corporation will autonomically discover the relationships between approximately 1,500 sensors at the new can filling line at Suntory's Natural Water Plant, which will start operating in April.

With a deep understanding of urban mobility, we are finding many more scenarios to leverage AI technology for a high level of driver-machine …