As I recently shared in an article for the Forbes Technology Council, artificial intelligence (AI) is rising to the climate change challenges and helping to solve them. From optimizing energy usage to predicting environmental changes, AI offers key applications that could significantly mitigate the adverse effects of climate change. Consider some of the following. 

Climate modelling for weather events. Machine learning algorithms can analyze massive datasets from various sources, such as satellite imagery, drones or weather stations, to detect environmental patterns and make predictions of weather impact with greater precision. For example, by understanding rising temperatures or extreme weather events, better resilience plans can be created, infrastructure can be designed in new ways and the urgency of creating new sources of renewable energy can be fast-tracked. 

A key challenge, however, is that the accuracy of AI is only as good as the data it’s trained on. As countries around the globe experience extreme weather events that are unprecedented, it’s critical that deeper collaboration and data-sharing occur to more effectively train AI algorithms to produce better insights.