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SDG 06: Clean Water and Sanitation
This goal aims to provide clean water by reducing pollution, eliminating
dumping and minimising the release of harmful chemicals by 2030.
It also aims to educate people about good hygiene habits and
improve sanitation facilities. AI can influence machine learning to
analyse wastewater treatment plants' data and provide predictive
recommendations so that plants can meet clean water and sanitation objectives at the
best-operating costs.
SDG 07: Affordable and Clean Energy
This goal aims to provide clean energy by 2030 by the means of
effectively implementing renewable energy solutions that are cheaper,
more reliable and efficient. The AI powered systems will be able to
analyse the huge data related to energy collections and provide a vision of
energy consumption. This will result in expanding the market and reducing
energy management cost.
SDG 08: Decent Work and Economic Growth
This goal aims to lessen youth unemployment. It targets to provide
opportunities for all to get work with fair income, security in the
workplace and social protection for families. AI can be used to analyse a
large amount of data to improve the decision-making process which will
result in improved products, markets and industries thereby improving
economic growth.
SDG 09: Industry, Innovation and Infrastructure
These are vital forces in the economic growth and development of any
country. The SDG promotes sustainable industries, investment in scientific
research and innovation which will lead to sustainable development. AI
can work as a catalyst in achieving this agenda.
SDG 10: Reduced Inequalities
This goal aims to ensure equal opportunities and end discrimination by
eliminating discriminatory laws, policies and practices. AI may help in
improving industrial growth thereby improving the global financial market
and institutions.
Sustainable Development Goals (SDGs) 75

