Artificial intelligence is no longer a futuristic concept for GIS professionals — it's a practical, accessible tool reshaping how we collect, analyze, and interact with spatial data. This session explores real-world AI applications in a regional planning and transportation GIS environment, drawing on hands-on experience integrating AI into everyday workflows.
Examples include: using AI to generate Python scripts for GIS functions; automating real-time data collection with ArcGIS Notebook Server; building natural language interfaces to create geospatial features in ArcGIS Pro; and leveraging AI with Survey 123 to analyze field-collected photos.
We'll address both the potential and limitations of AI in GIS, including accuracy, data privacy, and the continued importance of professional judgment. You'll leave with actionable ideas and a clearer sense of where AI fits — and where it doesn't — in the modern GIS toolbox.
