What it will take for AI to work with geospatial data?

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What it will take for AI to work with geospatial data?

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  • AI for Good is pleased to launch its new GeoAI Discovery Series on the applications of geospatial AI and the relevance of GeoAI to the Sustainable Development Goals. Topics range from ethics to digital twins to agriculture and climate change. The three curators for this series, Nadine Alameh (1), Maria Brovelli (2) and Barbara Ryan (3) will kickstart, alongside ITU, the series by discussing its objectives, structure and relevance, and the benefits to the global community by accelerating the outreach and impact of GeoAI. Each of their respective organizations play an important role in the GeoAI ecosystem. An introductory tech talk by Lokendra Chauhan, Founder, and CEO of Qen Labs, Inc. and lead author on the recently released WGIC GeoAI Report will follow the Panel discussion. Q&A with the audience closes the session. 

    CEO, Open Geospatial Consortium (OGC) 

    2 Professor of Geographic Information Systems and Digital Mapping at Politecnico Milano; Chair of the United Nations Global Geospatial Information Management (UN-GGIM) Academic Network 

    3 Executive Director, World Geospatial Industry Council (WGIC) 

    This live event includes a 30-minute networking event hosted on the AI for Good Neural Network. This is your opportunity to ask questions, interact with the panelists and participants and build connections with the AI for Good community.

    Geospatial artificial intelligence (GeoAI) is the amalgamation of AI with spatial computing to develop a better understanding, using geospatial data, of the physical world around us at the levels of an individual, communities, cities, nations, and the planet. This tech-talk will cover the differences between geospatial and typical AI problems from computer vision and language processing. It will explain why most of those AI algorithms do not work well with geospatial data highlighting its unique geospatial features like autocorrelation, geometric nature, and multiple modalities. GeoAI can bring significant benefits to drive the next generation of service innovation in applications from autonomous transportation to sustainable smart cities to soil sustainability, and others. The talk will present a few use cases that align with the UN Sustainable Development Goals. 

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