AI and ML Advances Rapidly Molding GIS Innovation

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The world of Geographic Information Systems (GIS) is rapidly evolving and the advances in Artificial Intelligence (AI) and Machine Learning (ML) are quickly molding GIS innovation. 

AI and ML are being used in the GIS field to develop automated mapping tools, automate data analysis, and improve data accuracy. Applications of AI and ML in GIS include natural language processing (NLP), computer vision (CV), and location-based services (LBS). 

The benefits of using AI and ML in GIS include improved accuracy, enhanced visualization, and faster processing times. AI-driven algorithms can analyze large amounts of data quickly and accurately, resulting in more accurate maps. Automated mapping tools can also improve visualization by providing interactive maps with detailed information about specific locations or areas. Finally, automated processes can speed up processing times by eliminating manual tasks that require time-consuming resources.

AI, ML, and GIS in the Energy Industry

According to Chris Andrews, COO of Rendered.ai, in a recent GISCafe article, “Geospatial technology and data cannot cure the issues that confront us, but they are critical tools in knowing, deciding, and communicating our status and pathways toward a more sustainable society.”

Andrews points out the importance of building digital twins of the built and natural environment around us as tools for monitoring the world and making decisions about commerce, governance, and general social welfare.

Advancing AI and ML technologies enable GIS professionals and asset owners to extract valuable insights and information from spatial and asset-based datasets previously too large or complex to analyze manually and quickly identify patterns.

Gareth Gibson, Marketing Director of Mapping & GIS Solutions at Trimble, pointed out real-world applications for AI/ML in GIS:

  • Image recognition and classification

  • Predictive modeling

  • Enterprise asset management, including digital twins

  • Spatial analysis

  • Robotic mapping

Advancing GIS innovation with AI and ML is leading to improved decision making, increased efficiency, reduced costs, enhanced visualization, and faster processing times.

Where it goes next is anybody’s GIS.