The integration of Artificial Intelligence (AI) with cloud computing has emerged as a pivotal strategy for enterprises seeking scalable and intelligent modernization. This paper explores how cloud-based AI solutions are transforming enterprise ecosystems by offering highly scalable, flexible, and cost-effective platforms for deploying intelligent applications. We examine the convergence of AI-as-a-Service (AIaaS), cloud-native architectures, and data-driven decision-making, and how these capabilities collectively drive operational efficiency, customer engagement, and innovation—particularly within sectors such as healthcare, finance, and manufacturing. The study investigates key enablers including edge-cloud synergy, containerization, serverless AI, and multi-cloud strategies, alongside challenges such as data privacy, latency, regulatory compliance, and AI model governance, to achieve robust and scalable AI solutions. Through real-world case studies and analysis of recent advancements, this paper highlights best practices and architectural patterns that empower enterprises to build intelligent, resilient, and future-ready digital infrastructures. The findings underscore the transformative potential of cloud-based AI in fostering enterprise agility and sustained competitive advantage in the evolving digital economy.