Cloud-Based Artificial Intelligence Services for Smart Business Applications
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Abstract
Artificial Intelligence (AI) services delivered through cloud platforms are transforming modern business operations. This paper investigates cloud-based AI models used in predictive analytics, customer relationship management, and automated decision-making systems. The proposed framework integrates machine learning services with scalable cloud infrastructure to support real-time business intelligence. Experimental evaluation shows improved processing speed, reduced operational costs, and enhanced scalability compared to traditional AI deployment models. The study highlights the growing importance of AI-as-a-Service (AIaaS) in digital transformation strategies.
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Foster, I., Zhao, Y., Raicu, I., & Lu, S. (2008). Cloud computing and grid computing 360-degree compared. Grid Computing Environments Workshop, 1–10.
Rao, R. V., Selvamani, K., & Kumar, S. (2011). Security challenges and threats in cloud computing. International Journal of Computer Science and Information Technologies, 2(4), 1706–1711.
Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information Systems, 47, 98–115.
Amazon Web Services. (2024). Overview of cloud computing. Retrieved from AWS Official Website
Microsoft Azure. (2024). Cloud computing services. Retrieved from Microsoft Azure
Google Cloud. (2024). Google cloud architecture framework. Retrieved from Google Cloud
IBM Cloud. (2024). Hybrid cloud solutions and services. Retrieved from IBM Cloud
Oracle Corporation. (2024). Oracle cloud infrastructure documentation. Retrieved from Oracle Cloud
Bernstein, D. (2014). Containers and cloud: From LXC to Docker to Kubernetes. IEEE Cloud Computing, 1(3), 81–84.
Pahl, C. (2015). Containerization and the PaaS cloud. IEEE Cloud Computing, 2(3), 24–31.
Botta, A., De Donato, W., Persico, V., & Pescapé, A. (2016). Integration of cloud computing and internet of things: A survey. Future Generation Computer Systems, 56, 684–700.
Bellundagi, M. (2023). A Secure API Gateway Framework for Enterprise Applications. International Journal of Science, Technology and Convergence, 5(5).
Bellundagi, M. (2022). Cloud-Native Application Development Using Spring Boot. International Journal of Science, Technology and Convergence, 4(4).
Konda, P. R. (2024). Semantic Emergence Modeling: How AI Systems Develop Higher-Level Understanding from Raw Data. International Meridian Journal, 6(6). https://meridianjournal.in/index.php/IMJ/article/view/118
Konda, P. R. (2018). Integrating LLMs into Financial Data Analysis Workflows for Automated Interpretation and Insights . International Numeric Journal of Machine Learning and Robots, 2(2). https://injmr.com/index.php/fewfewf/article/view/231