A Data-Driven Approach in Business and Management for Climate Change Mitigation

Abstract

Climate change represents one of the most pressing global challenges, with significant implications for businesses and industries worldwide. As organizations seek to reduce their environmental impact, artificial intelligence (AI) offers transformative potential in driving climate change mitigation efforts. This paper explores how AI can be leveraged in business and management to develop data-driven strategies for addressing climate change. By harnessing AI techniques such as machine learning, predictive analytics, and optimization, businesses can identify more efficient resource management practices, reduce carbon footprints, and develop sustainable solutions. The study examines the application of AI across various industries, from renewable energy and supply chain management to carbon emission reduction and waste management. Additionally, it explores the role of AI in decision-making processes, offering businesses actionable insights into the development of sustainable practices and green technologies. Through this exploration, the paper aims to provide business leaders with the tools and knowledge necessary to implement AI-driven solutions that contribute to long-term climate change mitigation goals, aligning both environmental and business objectives.