Some Requests for Machine Learning Research from the East African Tech Scene
Milan Cvitkovic

TL;DR
This paper identifies specific machine learning research problems that, if addressed, could significantly advance technology ventures in East Africa, based on interviews with local scientists, engineers, and CEOs.
Contribution
It presents a curated list of concrete machine learning research challenges tailored to East African tech needs, derived from in-depth local industry insights.
Findings
Identification of key research problems relevant to East African tech scene
Progress on these problems could directly benefit local tech ventures
Provides a targeted research agenda for machine learning in the region
Abstract
Based on 46 in-depth interviews with scientists, engineers, and CEOs, this document presents a list of concrete machine research problems, progress on which would directly benefit tech ventures in East Africa.
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