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FOSS4G NA 2024 - AI Wrangling in the Early 21st Century - Mark Mathis

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Manage episode 461965972 series 3234430
Content provided by Project Geospatial. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Project Geospatial or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Mark Mathis discusses the integration of artificial intelligence with geospatial data, showcasing tools and techniques to enhance data accessibility and usability. Highlights ๐ŸŒ Impact Observatory created a global land cover map using AI and convolutional neural networks. ๐Ÿ› ๏ธ Natural language interfaces help users request specific geospatial maps easily. ๐Ÿ“Š Prompt engineering is essential for effective communication with AI models. ๐Ÿ”ง Function calling allows AI to write code for precise data retrieval instead of generating possibly inaccurate answers. ๐Ÿ“ˆ Open standards facilitate integration and interoperability in geospatial applications. โš™๏ธ Tools like LangChain enhance interaction with AI models for geospatial tasks. ๐Ÿ—‚๏ธ Asynchronous processing enables efficient handling of complex geospatial requests. For more content like this check out www.projectgeospatial.com #AI #Geospatial #FOSS4G #MachineLearning #DataScience #OpenStandards #ImpactObservatory

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362 episodes

Artwork
iconShare
 
Manage episode 461965972 series 3234430
Content provided by Project Geospatial. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Project Geospatial or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Mark Mathis discusses the integration of artificial intelligence with geospatial data, showcasing tools and techniques to enhance data accessibility and usability. Highlights ๐ŸŒ Impact Observatory created a global land cover map using AI and convolutional neural networks. ๐Ÿ› ๏ธ Natural language interfaces help users request specific geospatial maps easily. ๐Ÿ“Š Prompt engineering is essential for effective communication with AI models. ๐Ÿ”ง Function calling allows AI to write code for precise data retrieval instead of generating possibly inaccurate answers. ๐Ÿ“ˆ Open standards facilitate integration and interoperability in geospatial applications. โš™๏ธ Tools like LangChain enhance interaction with AI models for geospatial tasks. ๐Ÿ—‚๏ธ Asynchronous processing enables efficient handling of complex geospatial requests. For more content like this check out www.projectgeospatial.com #AI #Geospatial #FOSS4G #MachineLearning #DataScience #OpenStandards #ImpactObservatory

  continue reading

362 episodes

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