What if artificial intelligence could help us understand water in a way that transforms whole communities? 

In this episode, we explore how Pharo Foundation is working with AI, computer vision, and geospatial data to rethink what it means to measure and manage water in Somaliland. We look at why access to water is so central to education, agriculture and livelihoods, and how better information can help development organisations move from good intentions to truly informed decisions. 

You will hear how “Camel Cam”, Pharo’s AI enabled monitoring system, is changing the way we see the impact of rural dams and opening new questions about what effective water projects really look like. Rather than focusing on the technology for its own sake, our guests reflect on how AI can act as an accelerator for local expertise, not a replacement for it. 

Joining the conversation are Dr Jay Taneja, a computer scientist at the University of Massachusetts Amherst who leads the STIMA Lab on infrastructure measurement and analytics, and Dennis Cheruiyot, a Machine Learning Engineer at Pharo Foundation who builds AI driven monitoring systems for water resources in Somaliland.