AI enhances the speed and precision of emergency service, which makes response and recovery from disasters efficient. AI-enabled systems have the ability to access and analyze real-time data sources like satellite imagery, feeds from blogs and social media, or even sensors to acquire and enhance real-time information in regard to situational analysis in case of a disaster.
Machine learning algorithms can be applied to predict impact for disasters such as floods, earthquakes, and hurricanes, with first priority given to improving preparedness and resource allocation.
Machine learning algorithms can be applied to predict impact for disasters such as floods, earthquakes, and hurricanes, with first priority given to improving preparedness and resource allocation.
