TRANSFORMATIVE PARADIGMS IN DIGITAL ENTERPRISE SYSTEMS ENABLED BY CONVERGED CLOUD AND ARTIFICIAL INTELLIGENCE
Keywords:
Digital enterprise systems, cloud computing, artificial intelligence, convergence, process automation, decision-making, innovationAbstract
The rapid convergence of cloud computing and artificial intelligence (AI) has catalyzed transformative changes in digital enterprise systems, redefining business models and operational frameworks. These technologies enhance scalability, intelligence, and agility, enabling enterprises to respond dynamically to market demands. This paper examines the paradigms emerging from this convergence, supported by insights literature. Key findings highlight the synergistic role of AI in optimizing cloud infrastructure, while the cloud enables scalable AI deployment. This convergence fosters innovation in data analytics, process automation, and decision-making capabilities. The review also identifies challenges and future directions for integrating these transformative technologies.
References
Armbrust, Michael, et al. "A View of Cloud Computing." Communications of the ACM, vol. 53, no. 4, 2010, pp. 50–58.
Brynjolfsson, Erik, and Andrew McAfee. "The Business of Artificial Intelligence." Harvard Business Review, 2017.
Gowda, P. G. A. N. (2021). Migrating banking applications to the cloud: Strategies and best practices. Journal of Scientific and Engineering Research, 8(12), 144–151.
Buyya, Rajkumar, et al. "Cloud Computing and Emerging IT Platforms." Future Generation Computer Systems, vol. 25, no. 6, 2010, pp. 599–616.
Gowda, P. G. A. N. (2021). Power of Java Streams and its best practices. International Journal of Science and Research (IJSR), 10(11), 1563–1567.
Davenport, Thomas H., and Rajeev Ronanki. "Artificial Intelligence for the Real World." Harvard Business Review, 2018.
LeCun, Yann, Yoshua Bengio, and Geoffrey Hinton. "Deep Learning." Nature, vol. 521, no. 7553, 2015, pp. 436–444.
Gowda, P. G. A. N. (2021). Data breach as a threat in the banking sector and steps to avoid it. International Journal of Science and Research (IJSR), 10(4), 1412–1415.
Mell, Peter, and Timothy Grance. "The NIST Definition of Cloud Computing." NIST Special Publication 800-145, 2011.
McKinsey & Company. "AI Adoption Survey: The State of AI." McKinsey & Company, 2019.
Chen, Min, Shiwen Mao, and Yunhao Liu. "Big Data: A Survey." Mobile Networks and Applications, vol. 19, no. 2, 2014, pp. 171–209.
Gubbi, Jayavardhana, et al. "Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions." Future Generation Computer Systems, vol. 29, no. 7, 2013, pp. 1645–1660.
Gowda, P. G. A. N. (2020). SQL vs. NoSQL databases: Choosing the right option for FinTech. European Journal of Advances in Engineering and Technology, 7(8), 100–104.
Zhang, Qi, Lu Cheng, and Raouf Boutaba. "Cloud Computing: State-of-the-Art and Research Challenges." Journal of Internet Services and Applications, vol. 1, no. 1, 2010, pp. 7–18.
