Deploying Flood Prediction System Using Machine Learning

Floods are one of nature's most costly and deadly natural disasters. Accurate and reliable forecasting of floods are invaluable to mitigate and manage these deadly disasters and artificial intelligence have demonstrated that it is an invaluable tool for flood forecasting. However, leveraging on the advances in machine learning and artificial intelligence for flood prediction can be challenging especially for users who are not well versed in deploying machine learning systems. Phil Mourot, Nick Lim and Corey Sterling (AI Institute, University of Waikato) presented an end-to-end flood prediction system, including the deployment process, to address these challenges.