Millions of maps are made each day, specifically data-rich maps that guide predictions and decisions for the world\u2019s largest organisations. This spatial analysis \u2013 a time-tested technology \u2013 mixes the science of geography with innovations like artificial intelligence (AI).<\/p>\n\n\n\n
Case in point: leaders at a\u00a0well-known global logistics company\u00a0can predict when a plane will need parts or maintenance, achieving leaps in operational efficiency. The company\u2019s VP of airline technology termed it \u201calmost the holy grail for a maintenance operation.\u201d That\u2019s the transformative power of pairing spatial analysis with AI, or what is known as GeoAI.<\/p>\n\n\n\n
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Spatial analysis relies on\u00a0geographic information systems<\/em>\u00a0(GIS) \u2013 the mapping and data analysis technology behind many business decisions and government operations. GeoAI takes cutting-edge GIS and enriches it exponentially, adding the ability for greater prediction, automation and precision.<\/p>\n\n\n\n The pairing of spatial analysis and AI means organisations can ask and answer questions at a speed and scale humans alone could never achieve. Already\u00a0GeoAI<\/em>\u00a0is a powerful means of synthesising data in the context of location so decision-makers can prioritise what needs to happen where. For example, \u201cWhere are our best customers and locations and where are they likely to be in the future?\u201d; \u201cWhere are critical resources and how can we operate in those places with the least impact on the environment and threatened species?\u201d; and \u201cWhere are assets or operational locations in danger from rising seas, extreme heat, or other climate risks?\u201d.<\/p>\n\n\n\n It\u2019s not magic, it\u2019s data \u2013 and it\u2019s automation. It lets people make more effective decisions both in real-time and for the longer-term. This transformational tool also excels at image recognition. With the explosion of imagery coming from satellites, drones and aircraft \u2013 coupled with the urgency to make sense of rapid changes \u2013 AI and spatial analysis can swiftly sift through every pixel to find answers.<\/p>\n\n\n\n <\/p>\n\n\n\n 1. Automate tasks and repeat them quickly at scale<\/em>:<\/strong>\u00a0streamline and optimise a range of business processes including operations, asset management and supply chain monitoring.<\/p>\n\n\n\n 2. Look at past patterns to make predictions:<\/em>\u00a0identify patterns \u2013 such as escalating risks \u2013 and generate recommendations or decisions based on predefined criteria or objectives.<\/p>\n\n\n\n 3. Search for patterns hidden in large amounts of data<\/em>:<\/strong>\u00a0examine and cross-reference troves of data for insights related to customer demographics, economics and geography.<\/p>\n\n\n\n <\/p>\n\n\n\n Additionally, it\u2019s being tested to assist with complex problems. For example, companies and cities use it to analyse energy usage patterns in buildings to identify opportunities to reduce energy consumption. This helps cut costs and realise sustainability goals.<\/p>\n\n\n\n For leadership, GeoAI takes agility to a whole new level and adds in the ability to do almost instantaneous analysis. It then changes the questions and assumptions and runs the analysis again \u2013 just as quickly.<\/p>\n\n\n\n <\/p>\n\n\n\n And the results are transformational. Marrying spatial analysis and AI becomes an enterprise tool with wide-ranging value in everything from planning how to optimise a supply chain and deciding how best to manage resources to assessing implications of policy changes and market trends.<\/p>\n\n\n\n The moment a problem seem to be increasing in complexity, GeoAI is the tool to meet that moment. It doesn\u2019t cut through or minimise the complexity \u2013 it allows those looking for a solution to take the complexity into account.<\/p>\n\n\n\n <\/p>\n\n\n\n This type of\u00a0modern GIS technology<\/em>\u00a0<\/em><\/strong>gives leaders in business and government the ability to see the present in incredible detail. It gives them the ability to look beyond the horizon, to predict the future and, ultimately, make smarter decisions.<\/p>\n\n\n\n <\/p>\n","protected":false},"excerpt":{"rendered":" Millions of maps are made each day, specifically data-rich maps that guide predictions and decisions for the world\u2019s largest organisations. This spatial analysis \u2013 a time-tested technology \u2013 mixes the science of geography with innovations like artificial intelligence (AI). Case in point: leaders at a\u00a0well-known…<\/p>\n","protected":false},"author":10,"featured_media":48772,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[305],"tags":[306,307],"class_list":["post-48782","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog-en-kh","tag-geoai-en-kh","tag-gis-kh-2"],"yoast_head":"\nThe fusion of AI and spatial analysis results in three powerful capabilities.<\/h4>\n\n\n\n