11-20, 14:30–14:55 (Pacific/Auckland), WG403
Artificial Intelligence is reshaping GIS, and QGIS plugins are catching up fast. This talk explores how AI and large language models (LLMs) can enhance geospatial workflows. We’ll cover key concepts, demo real tools, and ask: do they work, can we trust them, and what are the trade-offs?
Artificial Intelligence (AI) is no longer just a buzzword - it’s becoming increasingly a useful tool in the world of GIS, and QGIS plugins are quickly becoming more relevant and powerful in this space. This talk explores how AI and integrated LLM’s can enhance geospatial workflows within QGIS.
We’ll start by unpacking key terminology: What is AI? What is machine learning? What are large language models (LLMs)? And why do these technologies matter for geospatial professionals?
There’s already an abundance of tools available - but which QGIS plugins actually work? Are they helpful in real-world projects? Can we trust their outputs? Who is using them, and how?
We’ll explore these questions through practical examples, and also look at the pros and cons of current tools - highlighting key challenges around transparency, usability, and data quality.
Pierre is a seasoned Cartographer and GIS specialist with 20+ years of experience across print, digital, and spatial domains. Known for his hands-on approach and client-first mindset, he delivers impactful GIS training and guides organisations through seamless transitions to modern spatial systems. Since joining NGIS in 2022, he’s expanded his training expertise across both open-source and enterprise GIS platforms. Catch him at FOSS4G Auckland - he might just map his way into your next project.
Mike has more than 20 years experience with geospatial applications in a wide range of industry fields and disciplines i.e. forestry, energy, civil infrastructure, asset management, geotechnical engineering, environmental impact assessments, mining, oil and gas. His interest areas include geospatial strategy and requirements analysis, application development, automation, remote sensing, cartography and the application of geospatial technologies in project environments.
He is also a strong advocate for the Open Source community and loves what it brings to the geospatial industry.