Hanselminutes with Scott Hanselman
AI Data Infrastructure for the Global South with Kate Kallott
Apr 10, 2025
In this engaging conversation, Kate Kallott, Founder and CEO of Amini, sheds light on the critical data challenges facing the Global South. She discusses the urgent need for robust data infrastructures to enable AI adoption, particularly in underrepresented areas. Topics include innovative strategies for bridging data gaps in Africa, the importance of open source in tech, and the role of local communities in harnessing environmental data. Kate also shares insights on enhancing agricultural AI adaptability and empowering youth through technology.
34:45
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Quick takeaways
- Data scarcity in the Global South hinders AI adoption due to unconnected populations, necessitating targeted data infrastructure development.
- Innovative use of satellite imagery and community-building initiatives empowers local developers to harness geospatial data for AI advancements.
Deep dives
Data Scarcity in the Global South
Data scarcity is a significant barrier to AI adoption in the Global South, primarily due to the vast number of unconnected individuals. Approximately 2.6 billion people are unconnected globally, predominantly in this region, resulting in their absence from the data sets that train AI models. Without access to the internet, these populations remain invisible, limiting the data needed for AI advancements tailored to their contexts. Consequently, there is a critical need to build data infrastructure that specifically addresses these gaps and represents underrepresented communities.
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