From a business perspective, AI can optimise mining and agriculture by enhancing operational efficiency and reducing costs. In mining, AI algorithms can analyse vast amounts of geological data to predict mineral deposits, optimise drilling processes, and improve equipment maintenance through predictive analytics, minimising downtime. In agriculture, AI can streamline resource management by providing real-time insights into crop health, weather patterns, and soil conditions, enabling precision farming techniques that boost yields and reduce waste. Overall, AI-driven solutions lead to increased productivity, lower operational costs, and higher profitability for businesses in both sectors.