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One in every 10.
That’s how many people around the world are without clean water, according to the US Centers for Disease Control and Prevention (CDC).
By building sustainable, community-owned water projects, nonprofit organization charity: water has provided clean, safe drinking water to more than 11 million people in 29 countries.
It’s a vital service, as having access to clean water can quite literally be a matter of life or death, especially to those in rural communities.
Applying today’s cutting-edge technologies, charity: water and Accenture Labs are collaborating to keep clean water flowing for people in need.
Filtering out the noise
Through in-depth collaboration and working sessions, charity: water and the Accenture Labs’ Tech4Good program team first clearly identified the data challenges charity: water faced.
To monitor clean water projects in developing regions, charity: water needed data science tools to analyze and extract the signal out of the “noise” from the millions of data points they captured through a remote cloud-connected sensor device.
As the lead Data Scientist on the project, my role was to process, analyze and model water-consumption data recorded from a network of water pumps in northern Ethiopia.
The team worked to develop a two-part anomaly-detection system using data science, machine learning and advanced probabilistic models. The new system will help provide deeper, more accurate insights from cloud-connected pump sensors throughout northern Ethiopia.
After dissecting massive sets of data and developing a new water consumption model, charity: water is able to improve the scale and reliability of their services for the communities it serves.
Keeping it flowing
This improved technology will allow charity: water to proactively obtain better visibility into its water systems and malfunctions, instead of reactively deploying limited resources.
Communities benefit from less pump downtime, and charity: water can concentrate on using resources to help more communities.
We’re discussing the possibility of a predictive maintenance solution to help charity: water notify an operator or technician before a pump breaks—a solution that could one day be deployed for thousands of cloud-connected water systems.
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