AI-POWERED PREDICTIVE ANALYTICS FOR MULTI-CLOUD MANAGEMENT
Keywords:
Cloud Computing, Artificial Intelligence, Resource Optimization, Predictive Analytics, Enterprise ManagementAbstract
Integrating artificial intelligence with cloud computing represents a transformative advancement in modern information technology infrastructure, fundamentally reshaping how organizations manage and optimize their cloud resources. This comprehensive article explores the revolutionary impact of AI-driven solutions across various aspects of cloud computing, including resource management, optimization strategies, operational technologies, and industry leadership. The article examines how leading technology providers have implemented AI capabilities to enhance their cloud platforms, demonstrating significant efficiency, performance, and cost optimization improvements. The article further investigates the business implications of this technological convergence, highlighting its role in driving innovation, improving operational excellence, and creating new opportunities across diverse industry sectors.
References
Syed Minhaj UI Hassan. (2024). The Role of AI in Enhancing Cloud Security: A Comprehensive Analysis of Its Impact on the Indian IT Industry. International Journal of Intelligent Systems and Applications in Engineering, 12(22s), 1600 –. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/6709
Grand View Research, "Cloud AI Market Size, Share & Trends Analysis Report By Technology (Machine Learning, NLP), By Type (Solution, Services), By Vertical (Government, IT & Telecommunication), By Region (Asia Pacific, North America), And Segment Forecasts, 2023 - 2030." Available: https://www.grandviewresearch.com/industry-analysis/cloud-ai-market-report
Zhipeng Wu; Aiping Gan, "Qualitative and Quantitative Analysis the Value of Cloud Computing," 2011 International Conference on Information Management, Innovation Management and Industrial Engineering, 29 December 2011. Available: https://ieeexplore.ieee.org/document/6116841
Ethan Lee, "AI-Driven Cloud Resource Optimization: A Developer’s Guide," DEV Community, Oct 7, 2024. Available: https://dev.to/vcian/ai-driven-cloud-resource-optimization-a-developers-guide-2h4#:~:text=Resource%20Allocation%20Optimization%3A%20AI%2Ddriven,and%20improves%20overall%20application%20performance
Manzoor, M. F., Abid, A., Farooq, M. S., A. Nawaz, N., & Farooq, U. (2020). Resource Allocation Techniques in Cloud Computing: A Review and Future Directions. Elektronika Ir Elektrotechnika, 26(6), 40-51. https://doi.org/10.5755/j01.eie.26.6.25865
Guangyao Zhou et al., "Deep reinforcement learning-based methods for resource scheduling in cloud computing: a review and future directions," Artificial Intelligence Review, Volume 57, article number 124, (2024), 23 April 2024. Available: https://link.springer.com/article/10.1007/s10462-024-10756-9
Yehia Ibrahim Alzoubi, Alok Mishra & Ahmet Ercan Topcu, "Research trends in deep learning and machine learning for cloud computing security," Artificial Intelligence Review, Volume 57, article number 132, (2024). Available: https://link.springer.com/article/10.1007/s10462-024-10776-5
Qiao Zhou, "Research on Optimization Algorithm of Cloud Computing Resource Allocation for Internet of Things Engineering Based on Improved Ant Colony Algorithm," Wiley, 26 April 2022. Available: https://onlinelibrary.wiley.com/doi/10.1155/2022/5632117
Rui Huang and Shucheng Fang, "Comparative analysis of cloud service providers," International Journal of Cloud Computing and Database Management 2024; 5(1): 13-16. Available: https://www.computersciencejournals.com/ijccdm/article/55/5-1-4-950.pdf
C3.ai, "Enterprise AI Platform." Available: https://c3.ai/glossary/artificial-intelligence/enterprise-ai-platform/
Marcin Szczepański, "Economic impacts of artificial intelligence (AI)," European Parliamentary Research Service, PE 637.967, July 2019. Available: https://www.europarl.europa.eu/RegData/etudes/BRIE/2019/637967/EPRS_BRI(2019)637967_EN.pdf
Bryan Teo, "AI and Cloud Computing: The Future of Cloud eCommerce," Fairing, September 11, 2024. Available: https://fairing.co/blog/research/ai-and-cloud-computing-the-future-of-cloud-ecommerce
