Description
Machine learning for post-emergency recovery analysis leverages data analytics to assess the effectiveness of an organization’s response to emergencies. This involves analyzing various data points such as response times, resource usage, communication efficiency, and recovery duration to identify strengths and weaknesses in the emergency management process. The insights provided by machine learning can inform future strategies, ensuring better preparedness and faster recovery for subsequent emergencies.
