Practical AI AI for Good: clean water access in Africa
May 11, 2020
Chandler McCann, General Manager of DataRobot for Federal and former data scientist, shares insights on tackling clean water access in Africa. He discusses a project with the Global Water Challenge, analyzing over 500,000 data points to predict water point failures. This data-driven approach empowers African governments to enhance budgeting and maintenance for safe water access. Chandler emphasizes the role of AI for Good initiatives in fostering social impact and improving decision-making through collaboration with nonprofits.
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DataRobot's AI for Good Origin
- Chandler McCann partnered with Global Water Challenge (GWC) pro bono while at DataRobot.
- This collaboration led to the creation of DataRobot's AI for Good program.
Global Water Challenge Mission
- Many people rely on unreliable water sources like hand pumps.
- GWC directs investments to improve water access in developing nations by building/repairing water points.
Impact on Sierra Leone
- DataRobot's work with GWC influenced Sierra Leone's water policy.
- The Ministry of Water now requires data-driven decisions for water services.