Here is a taster of how artificial intelligence can be used to tackle climate change in a wide range, often building on top of existing institutional services or providing whole new business opportunities..

Water shortages

The use of large-scale drone deployment with deep learning and predicting will help identifying water scarce zones ahead of time. The use of drones or using models taken into account smart water data of existing demand, climate and weather data with water availability predicting future pressures in different regions. Given that water is a political tension point already this could help not only provide enough water but also prevent future conflicts and mass migration.

Global supply chains

Understanding food supply risks especially in a deeply complex global supply chain. The complexity of supply chains in everything we make- electronics, clothes, food – could seriously be disrupted and companies do not understand the risks to their operations or governments to their people’s stomach. Business, especially the insurance and financial sectors will face huge exposure to these changes. Machine learning will able to support supply chain resilience — and business survival.

Crop protection and resilience

One solution will be to use hyper-local weather forecasting for crop management albeit it won’t prevent floods, hurricanes and other crop destroying events. This may mean a need for urban farming with the use of robotics and other technologies such as crop growth optimisation with AI. Another use will be the development of greater drought tolerance crops using machine learning to predict the best possibilities for different climate and weather predictions.

Economic robustness

The economic impact of climate change caries a lot of uncertainty but it looking at 2018’s data the cost is going to have huge ramifications to the global economy. Throwing more climate data, weather data and impacts on global supply chains will help to limit financial shocks.

Infrastructure damage

Identifying infrastructure risks, for example caused by weathering, vegetation growth or soil changes will be enhanced with the deployment of drones which can assess hundred of acres of land in a fraction of the time of means by the use of deep learning computer vision.

Disaster and scenario planning

Scenario planning in the event of emergency or mass migration can have significant regional impacts. With displaced populations comes the need to prepare to provide adequate food and shelter. Or in the case of tech companies find commercial opportunities.

Think this is to far into the future? Even big tech firms are racing to track climate refugees.