Data Science for Poaching Prevention and Disease Treatment with Nyalleng Moorosi - TWiML Talk #109
Analysis
This article discusses a podcast episode featuring Nyalleng Moorosi, a Senior Data Science Researcher at CSIR in South Africa. The episode focuses on two key projects: a predictive policing initiative to prevent rhino poaching in Kruger National Park and a healthcare project investigating the effects of a drug treatment on pancreatic cancer in South Africans. The conversation highlights challenges in data collection, data pipelines, and addressing data sparsity. The article also promotes an upcoming AI conference in New York, mentioning prominent speakers and offering a discount code. The content is relevant to the application of AI in conservation and healthcare.
Key Takeaways
- •Data science is being applied to real-world problems like poaching prevention and disease treatment.
- •Challenges in data collection and pipelines are significant hurdles in these projects.
- •The article highlights the importance of AI conferences for staying updated on the latest developments.
“In our discussion, we discuss two major projects that Nyalleng is apart of at the CSIR, one, a predictive policing use case, which focused on understanding and preventing rhino poaching in Kruger National Park, and the other, a healthcare use case which focuses on understanding the effects of a drug treatment that was causing pancreatic cancer in South Africans.”