Architecting Intelligent Enterprise Systems by Integrating AI and Cloud Computing with Data Governance for Scalable Digital Transformation
DOI:
https://doi.org/10.15662/IJARCST.2021.0406016Keywords:
Artificial Intelligence, Cloud Computing, Data Governance, Digital Transformation, Enterprise Architecture, Scalability, Big Data, Automation, Data Security, Intelligent SystemsAbstract
The rapid evolution of digital technologies has compelled enterprises to adopt intelligent systems that enhance efficiency, scalability, and decision-making. Integrating Artificial Intelligence (AI) with cloud computing provides a powerful foundation for building such systems, enabling organizations to process large volumes of data, automate workflows, and derive actionable insights in real time. However, the effectiveness of these systems heavily depends on robust data governance frameworks that ensure data quality, security, compliance, and ethical usage. This paper explores the architectural principles required to design intelligent enterprise systems by combining AI capabilities with cloud infrastructure while embedding strong data governance practices. It highlights how scalable cloud platforms facilitate the deployment of AI models, while governance mechanisms maintain data integrity and trustworthiness across distributed environments. The study also examines challenges such as data silos, regulatory constraints, and system interoperability, proposing structured methodologies to address them. By aligning AI, cloud computing, and governance strategies, organizations can achieve sustainable digital transformation. The paper concludes that a holistic architecture not only improves operational agility but also supports long-term innovation, risk management, and competitive advantage in an increasingly data-driven economy.
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