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October 28, 2024 β€’ 28 mins

Nathan McEachen discusses the integration of geospatial awareness into large language models (LLMs) through open-source software, emphasizing the importance of interoperability and knowledge-sharing in addressing complex societal issues. Highlights 🌍 Geospatial awareness is crucial for addressing public health and climate crises effectively. πŸ”— Current data methodologies are siloed, making integration across domains challenging. πŸ“Š Knowledge infrastructures are needed to publish data in interoperable formats for better usability. 🚨 The UN emphasizes collaboration across domains to tackle global challenges like sustainable development. πŸ’‘ Large language models can enhance data analysis but require reliable geospatial metadata. 🧩 Spatial knowledge graphs can help bridge gaps between geospatial data and LLMs by ensuring semantic relationships. ⏳ Data validity and changing boundaries pose ongoing challenges in geospatial analysis. For more content like this check out www.projectgeospatial.com #Geospatial #AI #OpenSource #DataIntegration #SustainableDevelopment #KnowledgeGraphs #PublicHealth

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