According to Google DeepMind, their experimental deep neural network model leverages decades of historical data and nearly 5,000 observed cyclones to predict a broad range of global weather conditions. This AI-driven approach aims to enhance the accuracy of severe weather forecasting worldwide, enabling industries such as agriculture, logistics, and disaster management to make more informed decisions. The model represents a significant advancement in the practical application of artificial intelligence for meteorology, offering new business opportunities for technology integration in weather-dependent sectors (source: Google DeepMind, Twitter, June 12, 2025).