{"id":775642,"date":"2026-11-01T18:59:20","date_gmt":"2026-11-02T02:59:20","guid":{"rendered":"https:\/\/www.esri.com\/about\/newsroom\/?post_type=arcnews&p=775642"},"modified":"2026-10-30T16:37:59","modified_gmt":"2026-10-30T23:37:59","slug":"how-can-ai-unlock-new-geographic-insights","status":"publish","type":"arcnews","link":"https:\/\/www.esri.com\/about\/newsroom\/arcnews\/how-can-ai-unlock-new-geographic-insights","title":{"rendered":"How Can AI Unlock New Geographic Insights?"},"author":5752,"featured_media":0,"menu_order":0,"template":"","format":"standard","meta":{"_acf_changed":false,"sync_status":"","episode_type":"","audio_file":"","transcript_file":"","podmotor_file_id":"","podmotor_episode_id":"","castos_file_data":"","cover_image":"","cover_image_id":"","duration":"","filesize":"","filesize_raw":"","date_recorded":"","explicit":"","block":"","itunes_episode_number":"","itunes_title":"","itunes_season_number":"","itunes_episode_type":"","_links_to":"","_links_to_target":""},"categories":[10712,369852,493621],"tags":[178702,20422,479302],"arcnews_issues":[493590],"class_list":["post-775642","arcnews","type-arcnews","status-publish","format-standard","hentry","category-arcgis-api-for-python","category-artificial-intelligence--ai","category-new-connections","tag-analysis","tag-arcgis-pro","tag-image-analysis","arcnews_issues-november-2026","arcnews_sections-developers-corner"],"acf":{"short_description":"With AI-powered image and text analysis in ArcGIS, you can turn photographs and reports into structured spatial information.","pdf":{"host_remotely":false,"file":"","file_url":""},"flexible_content":[{"acf_fc_layout":"content","content":"GIS professionals have always looked for new ways to understand the world through data. In GIS, that data often manifests as points, lines, polygons, and the attributes associated with them. But some of the most valuable information organizations collect isn\u2019t stored in neatly structured attribute tables. It\u2019s found in photographs, inspection reports, maintenance logs, survey responses, and other forms that can be difficult to analyze at scale.\r\n\r\nA photograph attached to a feature might reveal a damaged asset. An inspection narrative might describe multiple conditions requiring attention. A field report might contain valuable observations that never make their way into searchable GIS attributes.\r\n\r\nThe information is already there. The challenge is unlocking it.\r\n\r\nArtificial intelligence is making that challenge easier. By bringing AI-powered image and text analysis into ArcGIS workflows, organizations can turn photographs, reports, and observations into structured geographic information that can be mapped, analyzed, and acted on. A photo collected during an inspection could be automatically summarized. A resident\u2019s service request could be categorized and standardized. Thousands of narrative reports could be transformed into consistent, searchable information ready for mapping and analysis."},{"acf_fc_layout":"image","image":775649,"image_position":"right","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"This is where AI moves beyond productivity enhancement into something more transformative. It allows organizations to convert previously inaccessible information into geographic insight.\r\n\r\nOne powerful new AI tool that does this is the arcgis.ai module in ArcGIS API for Python. The module allows ArcGIS users to extract information from photographs, summarize reports, classify narrative content, and transform unstructured information into GIS-ready data with natural language prompts.\r\n\r\nTo help ArcGIS users explore this capability, the Esri Geo Experience Center (GeoXC) developed the AI Analysis Toolbox<\/a>, a downloadable ArcGIS Pro toolbox that brings AI-powered image and text analysis directly into ArcGIS Pro. With this toolbox, users can select a layer, provide a prompt, and write AI-generated results back into their data. It can be used within ArcGIS Pro, while the included Python code can be explored, adapted, and extended for new workflows.\r\n\r\nNote that while this capability is in beta, ArcGIS Online credits won\u2019t be charged. After general release, running this tool will consume credits."},{"acf_fc_layout":"content","content":"

Extract Meaning from Images<\/h2>\r\nThe toolbox includes tools for analyzing photos stored as feature attachments or those referenced by URLs or file paths. Simply select the features to process, specify a destination field, and provide a natural language prompt describing what information you want extracted. The tool then analyzes each image and writes the results back into the dataset."},{"acf_fc_layout":"image","image":775650,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"You might prompt the AI to do any of the following:\r\n