Understanding the Basics of AI Driven Cloud Services
DOI:
https://doi.org/10.32628/CSEIT251117129Keywords:
Artificial Intelligence (AI), Cloud Computing, Machine Learning, Automation, Cloud Security, Digital TransformationAbstract
Artificial Intelligence (AI) has transformed cloud computing into smarter, automated, and more efficient systems. AI-driven cloud services leverage machine learning, natural language processing, and predictive analytics to optimize resource allocation, enhance security, and streamline data management. These intelligent services improve scalability, reduce operational costs, and increase computational efficiency across industries. This paper presents the fundamental concepts of AI-driven cloud services, highlighting their key components, benefits, and real-world applications. It explores how AI enhances cloud operations through automated monitoring, self-healing infrastructures, and intelligent decision-making. The study also examines AI’s role in cloud security, data analytics, and personalized user experiences. Major providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud integrate AI tools for automated insights, fraud detection, and predictive maintenance. Despite its advantages, AI-based cloud computing faces challenges like data privacy, ethical concerns, and high computational demands. Addressing these through strong governance and innovative architectures can shape the future of AI-driven cloud ecosystems.
Downloads
References
M. Darwich, K. Khalil, Y. Ismail, and M.Bayoumi, "Adaptive Video Streaming: An AI-Driven Approach Leveraging Cloud and Edge Computing," 2023 IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings), Mount Pleasant, MI, USA, 2023, pp. 1-5, doi:10.1109/AIBThings58340.2023.10292484. DOI: https://doi.org/10.1109/AIBThings58340.2023.10292484
E. Casalicchio and A. Cotumaccio, "AI-CRAS: AI-Driven Cloud Service Requirement Analysis and Specification," 2024 IEEE International Conference on Cloud Engineering (IC2E), Paphos, Cyprus, 2024, pp. 11-21, doi: 10.1109/IC2E61754.2024.00009. DOI: https://doi.org/10.1109/IC2E61754.2024.00009
Y. Tian et al., "An Edge-Cloud Collaboration Framework for Generative AI Service Provision With Synergetic Big Cloud Model and Small Edge Models," IEEE Network, vol. 38, no. 5, pp. 37-46, Sept. 2024, doi: 10.1109/MNET.2024.3420755. DOI: https://doi.org/10.1109/MNET.2024.3420755
V. Janga, D. A. Wako, A. S. Genale, B. B. Sundaram, A. Pandey, and P. Karthika, "Artificial Intelligence in Cloud Technology and Wireless Network Technology Using Health Care System," 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India, 2022, pp. 1-7, doi: 10.1109/ICOEI53556.2022.9776658. DOI: https://doi.org/10.1109/ICOEI53556.2022.9776658
K. Š. Makar, "Driven by Artificial Intelligence (AI) – Improving Operational Efficiency and Competitiveness in Business," 2023 46th MIPRO ICT and Electronics Convention (MIPRO), Opatija, Croatia, 2023, pp. 1142-1147, doi: 10.23919/MIPRO57284.2023.10159757. DOI: https://doi.org/10.23919/MIPRO57284.2023.10159757
B. D. Martino, A. Esposito, and E. Damiani, "Towards AI-Powered Multiple Cloud Management," IEEE Internet Computing, vol. 23, no. 1, pp. 64-71, Jan.-Feb. 2019, doi: 10.1109/MIC.2018.2883839. DOI: https://doi.org/10.1109/MIC.2018.2883839
C. Bansal and S. Tanwar, "The Role of Cloud Computing in Ensuring Business Continuity During Disasters," 2023 6th International Conference on Contemporary Computing and Informatics (IC3I), Gautam Buddha Nagar, India, 2023, pp. 782-787, doi: 10.1109/IC3I59117.2023.10397987. DOI: https://doi.org/10.1109/IC3I59117.2023.10397987
M. Rani, K. Guleria, and S. N. Panda, "Cloud Computing: An Empowering Technology: Architecture, Applications and Challenges," 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), Noida, India, 2021, pp. 1-6, doi: 10.1109/ICRITO51393.2021.9596259. DOI: https://doi.org/10.1109/ICRITO51393.2021.9596259
O. Odukoya, "The Transformative Impact of Cloud Computing on Small and Medium-Sized Enterprises (SMEs): A Comprehensive Analysis," 2024 International Conference on Smart Applications, Communications and Networking (SmartNets), Harrisonburg, VA, USA, 2024, pp. 1-5, doi: 10.1109/SmartNets61466.2024.10577703. DOI: https://doi.org/10.1109/SmartNets61466.2024.10577703
N. Gaur, A. Maurya, and A. K. Choubey, "Cloud Computing and Its Impact on the Private Label Business of Dabur India Ltd.," 2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM), Noida, India, 2024, pp. 1-5, doi: 10.1109/ICIPTM59628.2024.10563844. DOI: https://doi.org/10.1109/ICIPTM59628.2024.10563844
A. Nigmatov and A. Pradeep, "The Impact of AI on Business: Opportunities, Risks, and Challenges," 2023 13th International Conference on Advanced Computer Information Technologies (ACIT), Wrocław, Poland, 2023, pp. 618-622, doi: 10.1109/ACIT58437.2023.10275510. DOI: https://doi.org/10.1109/ACIT58437.2023.10275510
S. S. Nair and R. Nathiya, "AI-Powered Business Revolution: Elevating Efficiency and Boosting Sales through Cutting-Edge Process Re-engineering with Machine Learning," 2024 Second International Conference on Data Science and Information System (ICDSIS), Hassan, India, 2024, pp. 1-7, doi: 10.1109/ICDSIS61070.2024.10594289. DOI: https://doi.org/10.1109/ICDSIS61070.2024.10594289
T. Kökuti, L. Balázs, I. András, and M. Rajcsányi-Molnár, "Collaborating with Artificial Intelligence - AI in Business Communication Education," 2023 IEEE 6th International Conference and Workshop Óbuda on Electrical and Power Engineering (CANDO-EPE), Budapest, Hungary, 2023, pp. 287-294, doi: 10.1109/CANDO-EPE60507.2023.10417987. DOI: https://doi.org/10.1109/CANDO-EPE60507.2023.10417987
P. Kumar, P. K. Tomar, S. Bharti, S. Naredla, R. K. Ibrahim, and M. Bader Alazzam, "Maximizing the Potential of Artificial Intelligence in Digital Marketing," 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2023 DOI: https://doi.org/10.1109/ICACITE57410.2023.10183113
S. Gopalkrishnan and A. Reddipogu, "Exploring Artificial Intelligence (AI) Impact on Businesses: Perspectives from Big Data and Security," 2023 International Conference On Cyber Management And Engineering (CyMaEn), Bangkok, Thailand, 2023, pp. 12-17, doi: 10.1109/CyMaEn57228.2023.10051065. DOI: https://doi.org/10.1109/CyMaEn57228.2023.10051065
M. Jhaveri, A. Chirputkar, and P. Ashok, "The Efficacy of Artificial Intelligence in Making Best Marketing Decisions," 2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA), Uttarakhand, India, 2023, pp. 225-229, doi: 10.1109/ICIDCA56705.2023.10100132. DOI: https://doi.org/10.1109/ICIDCA56705.2023.10100132
E. P. Onakpojeruo, F. Al-Turjman, M. T. Mustapha, C. Altrjman and D. U. Ozsahin, "Emerging AI and cloud computing paradigms applied to healthcare," The International Conference on Forthcoming Networks and Sustainability (FoNeS 2022), Hybrid Conference, Nicosia, Cyprus, 2022, pp. 811-826, doi: 10.1049/icp.2022.2557. DOI: https://doi.org/10.1049/icp.2022.2557
S. Ahamad, M. Mohseni, V. Shekher, G. F. Smaisim, A. Tripathi and J. Alanya-Beltran, "A Detailed Analysis of the Critical Role of artificial intelligence in Enabling High-Performance Cloud Computing Systems," 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2022, pp. 156-159, doi: 10.1109/ICACITE53722.2022.9823679 DOI: https://doi.org/10.1109/ICACITE53722.2022.9823679
T. A. Devi and A. Jain, "Enhancing Cloud Security with Deep Learning-Based Intrusion Detection in Cloud Computing Environments," 2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT), Gharuan, India, 2024, pp. 541-546, doi: 10.1109/InCACCT61598.2024.10551040. DOI: https://doi.org/10.1109/InCACCT61598.2024.10551040
Z. Zhou, K. Luo and X. Chen, "Deep Reinforcement Learning for Intelligent Cloud Resource Management," IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Vancouver, BC, Canada, 2021, pp. 1-6, doi: 10.1109/INFOCOMWKSHPS51825.2021.9484566. DOI: https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484566
N. Mohamed, L. Sridhara Rao, M. Sharma, SureshBabuRajasekaranl, BadriaSulaimanAlfurhood and S. Kumar Shukla, "In-depth review of integration of AI in cloud computing," 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2023, pp. 1431-1434, doi: 10.1109/ICACITE57410.2023.10182738 DOI: https://doi.org/10.1109/ICACITE57410.2023.10182738
M. R. Belgaum, S. Musa, M. Alam and M. S. Mazliham, "Integration challenges of Artificial Intelligence in Cloud Computing, Internet of Things and Software-defined networking," 2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS), Karachi, Pakistan, 2019, pp. 1-5, doi: 10.1109/MACS48846.2019.9024828. DOI: https://doi.org/10.1109/MACS48846.2019.9024828
R. F. Mansour, A. E. Amraoui, I. Nouaouri, V. G. Díaz, D. Gupta and S. Kumar, "Artificial Intelligence and Internet of Things Enabled Disease Diagnosis Model for Smart Healthcare Systems," in IEEE Access, vol. 9, pp. 45137-45146, 2021, doi: 10.1109/ACCESS.2021.3066365. DOI: https://doi.org/10.1109/ACCESS.2021.3066365
T. -f. Ren, M. -T. Zhou, C. -B. Yv, F. Shen, J. Li and W. He, "An Integrated Edge and Cloud Computing Platform for Multi-Industrial Applications," 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI), Beijing, China, 2021, pp. 212-215, doi: 10.1109/DTPI52967.2021.9540097. DOI: https://doi.org/10.1109/DTPI52967.2021.9540097
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal of Scientific Research in Computer Science, Engineering and Information Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.
