Building a foundation for geospatial AI: defining a syllabus and body of knowledge
Learn more about the ML workshops at the AI for Good Global Summit 2023:
https://aiforgood.itu.int/event/programme/#ml-workshops
Geospatial AI refers to the application of artificial intelligence (AI) methods, such as deep learning and machine learning, to process and analyze geospatial data. This allows us to better understand the physical world and our interactions with it at different levels, from individual to global. Geospatial data includes any information connected to a location on Earth, such as UAV, satellite, and sensor data, as well as maps, GPS tracks, socioeconomic data from Census, transaction data and textual references to locations like in restaurant reviews and Tweets. AI can extract insights and patterns from geospatial data that traditional techniques may not be able to find.
Programme:
00:00:00 Intro
00:00:08 Opening remarks ITU - Andrea Manara
00:05:26 Opening remarks Maria Brovelli
00:28:30 Guillaume UN-GIS
00:33:58 Paloma Meredio
00:43:23 Lokedra Chauhan
01:05:25 Alexandre Caldas
01:16:44 Challenges and Opportunities in GEO AI/ML Panel
01:41:05 Discussion
02:52:35 Wrap-up
Speakers:
Maria Antonia Brovelli
Professor
Politecnico di Milano
Andrea Manara
Senior System Analyst
International Telecommunication Union (ITU)
Reinhard Scholl
Deputy Director, Telecommunication Standardization Bureau
International Telecommunication Union (ITU)
Co-founder and Managing Director, AI for Good
Alexandre Caldas
Chief of Country Outreach
United Nations
Paloma Merodio
Vice President of INEGI (Mexico) and Co-Chair of UN GGIM
National Institute of Statistics and Geography of Mexico (INEGI)
Lokendra Chauhan
Founder
Qen Labs Inc
Andrew Zolli
Chief Impact Officer
Planet
Daria Ludtke
Chief Operating Officer
Wegaw
Taegyun Jeon
CEO & Founder
SI Analytics
Frank de Morsier
Co-Founder
Picterra
Moderator(s):
Steven Ramage
Founder and CEO
RΓ©seau
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We have less than 10 years to solve the UN SDGs and AI holds great promise to advance many of the sustainable development goals and targets.
More than a Summit, more than a movement, AI for Good is presented as a year round digital platform where AI innovators and problem owners learn, build and connect to help identify practical AI solutions to advance the United Nations Sustainable Development Goals.
AI for Good is organized by ITU in partnership with 40 UN Sister Agencies and co-convened with Switzerland.
Disclaimer:
The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.