Intelligent cloud computing lifts villages out of water poverty

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knows greater computing power enables greater innovations. See how researchers are using Microsoft Azure to develop new ways to eliminate water poverty in Kenya. Cloud-based computing gives each device the power of the cloud; machine learning algorithms using integrated data makes information usable to decision makers. Processes are significantly faster, parameters can be explored quickly, and information is collected and analyzed at a higher rate. Information is power, and with the right tools, these researchers harness that power and maximize efficiency in solving for real life issues.

A research team is using Azure to track groundwater levels in impoverished communities by tracking the data from hand-pumped wells in the region to monitor aquifer health and devise ways to deliver improved well performance across the area. To handle data transmitted by multiple nodes, cloud-based computing is essential. The ease of porting existing frameworks as well as the Machine Learning capabilities of Azure have reduced the time needed to repair a well from 30 days to less than three.

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