Those developing countries that radically upgrade their infrastructure to enable AI, and step up R&D and skills development still have an opportunity to leapfrog advanced economies. They just need to be bold.

McKinsey Global Institute

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. We believe that technology in general, and Artificial Intelligence specifically can contribute to tackling these challenges, and be a catalyst for positive change.

AI can help to reach the SDGs

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.

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.

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.

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