Modernizing Data Platforms into Cloud for Strategic Advantage with AI
DOI:
https://doi.org/10.32628/CSEIT23112556Keywords:
Cloud Data Modernization, Artificial Intelligence Integration, Data Platform Architecture, Digital Transformation, Enterprise Data StrategyAbstract
The rapid evolution of cloud computing and artificial intelligence (AI) has revolutionized the way organizations manage, process, and derive value from their data. Modernizing data platforms by migrating them to the cloud and integrating AI capabilities has emerged as a strategic imperative for businesses seeking to enhance agility, scalability, and innovation. This article explores the transformative potential of cloud-based data platforms augmented by AI, highlighting the strategic advantages they offer. It examines key considerations for modernization, including architectural design, data governance, and AI integration, while addressing challenges such as security, cost management, and organizational change. The article concludes with a forward-looking perspective on how businesses can leverage these technologies to drive competitive advantage in the digital era.
Downloads
References
Adam Wright, "Global DataSphere," IDC Research, 2025. [Online]. Available: https://www.idc.com/getdoc.jsp?containerId=IDC_P38353
Prathyusha Nama, "Integrating AI with cloud computing: A framework for scalable and intelligent data processing in distributed environments," International Journal of Science and Research Archive, vol. 6, no. 2, 28 June 2022. [Online]. Available: https://ijsra.net/sites/default/files/IJSRA-2022-0119.pdf
Shuiguang Deng et al., "Cloud-Native Computing: A Survey from the Perspective of Services," ResearchGate, June 2023. [Online]. Available: https://www.researchgate.net/publication/371586227_Cloud-Native_Computing_A_Survey_from_the_Perspective_of_Services
Surbhi Nijhara, "Cloud Data Platform Architecture Primer," GlobalLogic Technical Report, June 2022. [Online]. Available: https://www.globallogic.com/wp-content/uploads/2022/06/Cloud-Data-Platform.pdf
Mrinal Chakraborty, "The Evolution of MLOps for Enterprise Model Management," PacteraEDGE Technical Report. [Online]. Available: https://www.cognilytica.com/wp-content/uploads/2020/11/PacteraEDGE_MLOps_Evolution.pdf
Vaughn Bruce and Dorcas Esther, "Real-Time Data Analytics in Cloud-Based Big Data Systems," ResearchGate, Dec. 2024. [Online]. Available: https://www.researchgate.net/publication/387995738_Real-Time_Data_Analytics_in_Cloud-Based_Big_Data_Systems
Moses Blessing, "Zero Trust Architecture in Cloud Environments," ResearchGate, Sep. 2024. [Online]. Available: https://www.researchgate.net/publication/383660764_Zero_Trust_Architecture_in_Cloud_Environments
Rakshith N and Prof. Rahul Pawar, "Data Governance and Compliance in Cloud-Based Business Continuity and Disaster Recovery," International Journal of Research Publication and Reviews, vol. 5, no. 3, March 2024. [Online]. Available: https://ijrpr.com/uploads/V5ISSUE3/IJRPR23552.pdf
Michael Rohloff, "Enterprise Architecture - Framework and Methodology for the Design of Architectures in the Large," ResearchGate, Jan. 2005. [Online]. Available: https://www.researchgate.net/publication/221409431_Enterprise_Architecture_-_Framework_and_Methodology_for_the_Design_of_Architectures_in_the_Large
Sureshkumar Somanathan, "Optimizing Cloud Transformation Strategies: Project Management Frameworks for Modern Infrastructure," ResearchGate, Vol. 5, no. 1, Jan. 2023. [Online]. Available: https://www.researchgate.net/publication/386168594_Optimizing_cloud_transformation_strategies_project_management_frameworks_for_modern_infrastructure
Jun Wu, "Review on the Research of Enterprise Digital Transformation," Frontiers in Business Economics and Management, Vol. 11, no. 1, Sep. 2023. [Online]. Available: https://www.researchgate.net/publication/374094750_Review_on_the_Research_of_Enterprise_Digital_Transformation
Xinhua Yang et al., "A Study on the Impact of Enterprise Digital Evolution on Outward Foreign Investments," Sustainability, Vol. 16, no. 10, May 2024. [Online]. Available: https://www.researchgate.net/publication/380580056_A_Study_on_the_Impact_of_Enterprise_Digital_Evolution_on_Outward_Foreign_Investments
Andrew Marsh and Tom Rieger, "Drivers and Impediments to Digital Transformation," Platform 3 Solutions White Paper, 2020. [Online]. Available: https://platform3solutions.com/wp-content/uploads/2020/12/P3S_WhitePaper_Drivers-Impediments-DigitalTrans.pdf
Hemant Singh Sengar et al, "Driving Digital Transformation: Transition Strategies For Legacy Systems To Cloud-Based Solutions," International Research Journal of Modernization in Engineering Technology and Science, vol. 2, no. 10, Oct. 2020. [Online]. Available: https://www.irjmets.com/uploadedfiles/paper/volume_2/issue_10_october_2020/4406/final/fin_irjmets1729190647.pdf
Bernard Marr and Matt Ward, "Artificial Intelligence in Practice: How 50 Successful Companies Used AI and Machine Learning to Solve Problems," Wiley, 2019. [Online]. Available: http://sutlib2.sut.ac.th/sut_contents/H173711.pdf
Gartner, "Craft a Cloud Strategy to Optimize Value," Gartner Infrastructure & Operations White Paper. [Online]. Available: https://www.gartner.com/en/infrastructure-and-it-operations-leaders/topics/cloud-strategy
Tony Giordano et al., "Modernizing Data Platforms, Accelerating Innovation, and Unlocking Business Value with Data Mesh on AWS," AWS Partner Network (APN) Blog. [Online]. Available: https://aws.amazon.com/blogs/apn/modernizing-data-platforms-accelerating-innovation-and-unlocking-business-value-with-data-mesh-on-aws/
Omar Khan, "Empower innovation and transformation through AI and data-driven insights on Azure," Microsoft Azure Management and governance, 23 Oct. 2024. [Online]. Available: https://azure.microsoft.com/en-us/blog/empower-innovation-and-transformation-through-ai-and-data-driven-insights-on-azure/
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.