{"id":365012,"date":"2020-08-26T17:37:51","date_gmt":"2020-08-27T00:37:51","guid":{"rendered":"https:\/\/www.esri.com\/about\/newsroom\/?post_type=arcuser&p=365012"},"modified":"2024-03-26T14:25:47","modified_gmt":"2024-03-26T21:25:47","slug":"geoai-for-mapping","status":"publish","type":"arcuser","link":"https:\/\/www.esri.com\/about\/newsroom\/arcuser\/geoai-for-mapping","title":{"rendered":"Future Impacts of GeoAI on Mapping"},"author":1031,"featured_media":0,"menu_order":0,"template":"","format":"standard","meta":{"_acf_changed":false,"sync_status":"","episode_type":"","audio_file":"","castos_file_data":"","podmotor_file_id":"","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":[791,24962],"tags":[1391,23402,276062,471462],"arcuser_issues":[471312],"class_list":["post-365012","arcuser","type-arcuser","status-publish","format-standard","hentry","category-digital-transformation","category-focus","tag-artificial-intelligence","tag-automation","tag-national-mapping","tag-production-mapping","arcuser_issues-summer-2020"],"acf":{"short_description":"Technology is the backbone of successful mapping organizations that helps them be more productive.","pdf":{"host_remotely":false,"file":"","file_url":""},"flexible_content":[{"acf_fc_layout":"blockquote","content":"We are now living in an age where technology is the backbone of successful mapping organizations. By embracing technology, all parts of the workplace have become more productive."},{"acf_fc_layout":"content","content":"Geospatial organizations have continually improved production and analysis processes by introducing automation and new technologies. An exciting recent addition to automation has been the introduction of artificial intelligence (AI)<\/a>, deep learning (DL), and geographic artificial intelligence (GeoAI)<\/a>. These new technologies, when paired with human operators, are ushering in exciting capabilities that were previously considered possible only in science fiction.\r\n\r\nThe term AI was first introduced in 1955 by John McCarthy, a computer scientist and professor at Stanford University. The lack of the large and publicly available datasets required to train AI models and lack of computational power caused the field of AI to grow slowly. This started to change with the development and growth of the internet which made large amounts of data publicly available. Additionally, the advent of the graphics processing unit (GPU) has made possible affordable processing and accelerated the development and use of AI.\r\n\r\nDL is a subset of AI that mainly uses neural networks that are very similar to the human brain. DL is being used in self-driving cars, speech recognition, robotics, image classification, and other areas that require quick decisionmaking and pattern recognition.\r\n