This research paper examines the role of Artificial Intelligence (AI) as a key driver of digital transformation in modern business environments. With the rapid advancement of data analytics, cloud computing, and intelligent automation, organizations are increasingly adopting AI technologies to enhance operational efficiency, improve strategic decision-making, and create innovative digital business models. The study provides a comprehensive analysis of major AI technologies including machine learning, natural language processing, computer vision, and generative AI, and explores their applications across business functions such as marketing intelligence, customer relationship management, supply chain optimization, and business process automation. The paper also investigates the strategic benefits of AI-driven digital transformation, including improved productivity, enhanced customer experience, and the development of data-driven organizational cultures. Additionally, it discusses the key challenges associated with AI implementation, such as data privacy concerns, infrastructure limitations, workforce skill gaps, and ethical considerations in algorithmic decision-making. Through an analytical review of current research and industry developments, this study highlights how organizations that strategically integrate artificial intelligence into their digital transformation strategies can achieve sustainable innovation, competitive advantage, and long-term business growth in the evolving digital economy. This work contributes to the growing academic literature on artificial intelligence and business transformation and provides insights for researchers, technology professionals, and business leaders exploring AI-enabled digital innovation. Artificial IntelligenceDigital TransformationMachine LearningBusiness AnalyticsIntelligent AutomationData Driven Decision MakingEnterprise TechnologyAI in BusinessBusiness InnovationIndustry 4.0Generative AIDigital Economy
Vishal Uttam Mane (2026) studied this question.