Mark Mathis discusses the integration of artificial intelligence with geospatial data, showcasing tools and techniques to enhance data accessibility and usability.

Highlights 🌍 Impact Observatory created a global land cover map using AI and convolutional neural networks. 🛠️ Natural language interfaces help users request specific geospatial maps easily. 📊 Prompt engineering is essential for effective communication with AI models. 🔧 Function calling allows AI to write code for precise data retrieval instead of generating possibly inaccurate answers. 📈 Open standards facilitate integration and interoperability in geospatial applications. ⚙️ Tools like LangChain enhance interaction with AI models for geospatial tasks. 🗂️ 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