This chapter examines the transformative role of artificial intelligence, sustainability strategies, and big data in contemporary business models from an integrated perspective. It argues that artificial intelligence enhances decision-making, automation, and predictive analytics by enabling machine-based cognitive capabilities, thus creating efficiency, scalability, and strategic advantage for organizations. However, ethical issues such as algorithmic bias, data privacy, and workforce disruption are highlighted as critical challenges.The section on sustainability strategies emphasizes the need for organizations to develop long-term plans that balance environmental, social, and economic performance. Practices such as energy efficiency, circular economy models, sustainable supply chain management, and stakeholder engagement are presented as sources of competitive advantage, cost reduction, and regulatory compliance.The chapter on big data explains its capacity to generate value from large datasets characterized by volume, velocity, and variety.

Big data is shown to play a strategic role in decision-making, customer analytics, operational improvements, and the development of new business models. Nonetheless, risks such as privacy violations, embedded bias, high costs, and technical complexity are identified as major concerns.Overall, the chapter argues that the

integration of AI and big data with sustainability strategies enables measurable, data-driven, and operational sustainability performance, but also requires ethical governance, transparency, and talent development. It concludes that this integrated approach enhances resilience, efficiency, and long-term competitive advantage for businesses.