The Sustainable Development Goals (SDG’s) are dynamic, complex, and interconnected – AI can help us better understand and achieve them.

2030 Vision – Global Goals Technology Forum

In 2015, the United Nations adopted 17 Sustainable Development Goals (SDGs), aiming to achieve a better and more sustainable future for all. They address the global challenges the world is facing, including poverty, inequality and climate change.

Our team from Data Factory is convinced that technology in general, and Artificial Intelligence specifically can contribute significantly to tackling these challenge. Moreover, we even believe that AI plays a crucial role in sustainable development and can be a for catalyst for positive impact.

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AI can help to reach the SDGs

Computer vision based on satellite images can track illegal fishing activities, so they can be stopped and fishing populations can recover.

IoT networks of small microphones combined with speech processing can detect chain-saw sounds in forests to detect and locate illegal activities.

Image recognition and speech processing can enable easier identification of individuals, and thus easier access to financial, health and education services.

Natural Language Processing can help increase the quality and inclusiveness of education, by giving students automated feedback on exercises and adapting their level of difficulty.

Machine learning can help to map and predict outbreaks of diseases and wildfires based on satellite images and other data, so governments and organizations can prepare and react quicker.

Computer vision based on satellite, drone or even phone images can help farmers protect their crops and increase their yields by detecting plant damage early, and getting recommendations on fertilizing, watering and harvesting.