2026 Big Sky GeoCon - From Data to Design

Esri’s GeoAI capabilities fuse advanced machine learning, deep learning, and spatial analysis to automate feature extraction and accelerate insight generation across imagery, video, point clouds, text, and other geospatial data sources. By integrating pretrained models, configurable geoprocessing tools, and extensible Python APIs, ArcGIS empowers users to rapidly transform raw sensor data into actionable information. These capabilities now extend directly into field workflows through Survey123’s computer vision integration, image classification and feature detection to validate field observations, streamline QA/QC, and enrich survey data collection with automated intelligence.

Building on advancements in large language models, Esri is enhancing GeoAI with natural-language-driven analysis and intelligent assistants that help users discover data, generate workflows, and interact with GIS more intuitively. LLM-powered text AI complements traditional feature extraction by enabling semantic understanding of unstructured content while Survey123’s vision-based automation strengthens the connection between field capture and enterprise analysis. Together, these innovations make spatial AI more accessible, scalable, and efficient by unlocking new levels of productivity for analysts, field crews, and decision-makers across industries.