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Machine-Learning Data Helps Global Development Organizations Monitor & Evaluate Programs

Technology company Fraym partners with the World Bank & the African Development Bank

Data generated by machine learning is now being used by preeminent international development organizations to inform programmatic evaluations and to help them make data driven decisions. Fraym, a technology company, recently worked with the World Bank and the African Development Bank to employ advanced geospatial data and uncover insights that traditional data analysis could not reveal.

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Spatial knowledge of population dynamics enables fast, precise, and comprehensive assessments—and illustrates the effects of investments on the most pressing global development needs. Fraym’s founders worked in global development at the highest levels of the U.S. government, and now their original use case which identified a need for localized data, has been proven and scaled. Ben Leo, CEO and Co-Founder of Fraym reflects, “Our company is deeply passionate about and connected to the global development space. I’m humbled that our technology contributes to the missions of organizations like the World Bank and the African Development Bank.”

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