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FOSS4G NA 2024 - Bringing Geospatial Awareness to LLMs Using Open-Source Software - Nathan McEachen
Manage episode 461965956 series 3234430
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 π Geospatial awareness is crucial for addressing public health and climate crises effectively. π Current data methodologies are siloed, making integration across domains challenging. π Knowledge infrastructures are needed to publish data in interoperable formats for better usability. π¨ The UN emphasizes collaboration across domains to tackle global challenges like sustainable development. π‘ Large language models can enhance data analysis but require reliable geospatial metadata. π§© Spatial knowledge graphs can help bridge gaps between geospatial data and LLMs by ensuring semantic relationships. β³ 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
362 episodes
Manage episode 461965956 series 3234430
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 π Geospatial awareness is crucial for addressing public health and climate crises effectively. π Current data methodologies are siloed, making integration across domains challenging. π Knowledge infrastructures are needed to publish data in interoperable formats for better usability. π¨ The UN emphasizes collaboration across domains to tackle global challenges like sustainable development. π‘ Large language models can enhance data analysis but require reliable geospatial metadata. π§© Spatial knowledge graphs can help bridge gaps between geospatial data and LLMs by ensuring semantic relationships. β³ 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
362 episodes
All episodes
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1 Decoding Geo: The Civil Applications Committee | Special Coverage 17:14

1 Decoding Geo: USGS Landsat Year in Review | Special Coverage 29:13

1 Decoding Geo: Geography 2050 Recap | Special Coverage 22:55

1 Decoding Geo: FedGeoDay 2024 Recap | Special Coverage 16:06

1 Decoding Geo: FOSS4G NA 2024 Recap | Special Coverage 29:02

1 Decoding Geo: GEOINT 2024 Recap | Special Coverage 14:46

1 Industry Limelight | Eagleview - A Conversation with CEO Piers Dormeyer 17:37

1 FOSS4G NA 2024 - Interactive Analysis & Visualization of Geospatial Data with Leafmap - Qiusheng Wu 27:23

1 FOSS4G NA 2024 - Applying Large Language Models to Geospatial Search and Analysis - Jason Gilman 24:47

1 FOSS4G NA 2024 - Tracking Detected Vessels at Sea from USVs - Jonathan Mason & Jian Wu 26:33

1 FOSS4G NA 2024 - Optimized Geospatial Indexing for Hybrid Search and GeoAI - Nicholas Knize 31:23

1 FOSS4G NA 2024 - Geospatial Radar Report 2024 - Lauren Frederic 22:51

1 FOSS4G - Blazing Fast Geospatial SQL in DuckDB - Isaac Brodsky 26:43

1 FOSS4G NA 2024 - Speeding Up Raster/Vector Zonal Analysis with exactextract - Dan Baston 24:23
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