The rapid advancements in digital technologies are fundamentally reshaping business operations, necessitating a strategic shift towards digitalization and digital business transformation. Digitalization, in this context, is not merely an upgrade of existing systems but a complete reimagining of business models to leverage the capabilities of the new technologies. The move towards cloud-based data management is central to this transformation, offering increased flexibility and accessibility, and requiring new approaches to security, control and migration. Cloud migration has evolved from a primarily technical undertaking to a strategic imperative, demanding alignment with core business objectives, including agility, scalability and cost-effectiveness. The transition to cloud-based systems provides opportunities for more dynamic and forward-thinking business solutions. Generative AI plays a crucial role in accelerating digital transformation, automating processes, enhancing decision-making, and fostering innovation. By integrating Generative AI into cloud migration frameworks, businesses can achieve faster value realization, optimize resource allocation, and create resilient IT infrastructures that can adapt to evolving business needs. This includes the capacity to forecast migration challenges and implement automated code modifications to ensure alignment with specific business requirements. Phased migration strategies, enhanced by AI-driven tools, are critical for navigating the complexities of these transformations, enabling organizations to minimize risks and adapt incrementally. The study also delves into the technical aspects of migration, including the challenges of converting SQL dialects and ensuring data consistency across platforms. The necessity of planning, assessment, meticulous execution and post-migration optimization are emphasized to ensure that the cloud environment remains efficient and aligned with business objectives. These insights offer a framework for organizations seeking to use digitalization and digital transformation, with applied AI as a central aspect. The research stresses that successful cloud migration is not just about moving to the cloud, but about establishing a foundation for future innovation and growth, through improved processes, cost reductions and enhanced service quality.