AI for Good: clean water access in Africa
DataRobot analysed over 500,000 data points with the Global Water Challenge to help African governments predict water point failures and improve maintenance budgeting and policy.
Chandler McCann tells Daniel and Chris about how DataRobot engaged in a project to develop sustainable water solutions with the Global Water Challenge (GWC). They analyzed over 500,000 data points to predict future water point breaks. This enabled African governments to make data-driven decisions related to budgeting, preventative maintenance, and policy in order to promote and protect people’s access to safe water for drinking and washing. From this effort sprang DataRobot’s larger AI for Good initiative. Sponsors: DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow.
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