For more details on registrations and submissions for the GIS and AI: Unlocking new insights and efficiencies by Esri, please first login to your account. If you do not have an account then you can create one below:
As challenges facing National Statistics Offices become more complex, geographic information system (GIS) software enriched with AI is the key technology to meet the moment.
GIS software analyzes complex systems and vast datasets to enhance operations and improve output data accuracy and usability. Enhanced with AI capabilities, GIS analysis delivers insights faster and at unprecedented scale, enabling greater automation, prediction, and optimization.
Participants will learn the fundamentals of GeoAI, including extracting features from imagery with deep learning and running predictive analytics using spatial statistics AI tools.
We will also dive into LLMs and generative AI and create apps to explore data using natural language.
Venue Address: University of Malta Valletta Campus, St Paul Street, Valletta VLT 1216, Malta
Michael Gould is professor of GIS at University Jaume I (Spain) since 1998, and Global Education Manager at Esri since 2008. He supports capacity development projects with Esri's 85 offices around the world.
Lydia Troup is Solution engineer at Esri, working with official statistics agencies globally. Lydia has a background in data science and GIS through her studies at the College of William and Mary, and has been with Esri for 3 years supporting GIS users globally.
For more details on registrations and submissions for the GIS and AI: Unlocking new insights and efficiencies by Esri, please first login to your account. If you do not have an account then you can create one below: