COP29, Baku, Azerbaijan, November 14, 2024 – At the closing of COP29 held in Dubai, IBM (NYSE: IBM) and Sustainable Energy for All (SEforALL) have presented two quite innovative AI-based initiatives related to the sustainable design and energy distribution technologies in poorer countries.
These include the Open Building Insights platform which is a free-use application that sorts building details in order to assist with the decision of infrastructure energy and the Modeling Urban Growth model which is a free resource that allows the prediction of urban expansion using satellite images.
“As IBM, we are pleased to introduce artificial intelligence solutions and have an effect for communities across the globe,”
Noted John Matogo who is the Corporate Social Responsibility Leader for IBM in Africa & the Middle East regions
. For Africa and India, the OBI platform offers spatial data for the non-expert user. The goal is to inform and assist with urban development in these regions.
Thanks to combining information from the German Aerospace Center and Open Energy Maps, this tool enables decision-makers to estimate energy demand and supply in cities, therefore having huge potential for encouraging sustainable urbanization policies.
Damilola Ogunbiyi, SEforALL’s CEO and Special Representative of the UN Secretary-General for Sustainable Energy noted the potential impact of AI for energy planning in areas that lack development.
“Incorporating AI in the energy sector planning will fill critical data holes and offer better energy transition solutions in developing areas,”
Currently, the platform is being deployed in Kenya and Maharashtra, India, and offers energy access honed for the region with the target of providing access to millions by 2030.
These AI applications are open-source and available on GitHub and are expected to assist underdeveloped nations in dealing with the issues of urbanization.
The initial order of business for the partnership between IBM and SEforALL will be the further development of the OBI platform in India, with particular emphasis on incorporating MUG, which is a model designed to forecast urban development with geographical and social data.
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