CFP last date
20 June 2025
Reseach Article

AI-Powered Data Platforms: Transforming Global Business Operations – A Critical Review

by Rahul Prathikantam, Naga Ravi Teja Vadrevu
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 10
Year of Publication: 2025
Authors: Rahul Prathikantam, Naga Ravi Teja Vadrevu
10.5120/ijca2025925061

Rahul Prathikantam, Naga Ravi Teja Vadrevu . AI-Powered Data Platforms: Transforming Global Business Operations – A Critical Review. International Journal of Computer Applications. 187, 10 ( Jun 2025), 45-52. DOI=10.5120/ijca2025925061

@article{ 10.5120/ijca2025925061,
author = { Rahul Prathikantam, Naga Ravi Teja Vadrevu },
title = { AI-Powered Data Platforms: Transforming Global Business Operations – A Critical Review },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2025 },
volume = { 187 },
number = { 10 },
month = { Jun },
year = { 2025 },
issn = { 0975-8887 },
pages = { 45-52 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number10/ai-powered-data-platforms-transforming-global-business-operations-a-critical-review/ },
doi = { 10.5120/ijca2025925061 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-06-11T00:52:43.478040+05:30
%A Rahul Prathikantam
%A Naga Ravi Teja Vadrevu
%T AI-Powered Data Platforms: Transforming Global Business Operations – A Critical Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 10
%P 45-52
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The emergence of Artificial Intelligence (AI) signifies a momentous shift in data platform design and use, changing entrepreneurs and global companies' operational models. This review article compiles emerging scholarships on conducted research studies on AI-powered data platforms and their significant implications for the evolution of international business practice. Drawing on ten peer-reviewed and open access research articles published primarily from 2020-2025, the review explores the following themes: inspiration of innovation, operational efficiency, reconfiguration of business models, and the ethical application of AI platforms in organization practices. Overall, findings suggest that AI-powered data platforms provide organizations with tools for making data-driven decisions in real-time, personalized customer engagement and responsiveness, scalable automation, and sustainable value generation. As a result, AI platforms will spur innovation in business models among varying sectors and industries. An ideational framework is constructed to represent how AI fundamentals engage with organizational facilitators in order to create concrete business effects. The framework spans technology functionality across to strategic significance and supplies a theory foundation for further empirical studies. Review concludes with determination of gaps of knowledge and suggested future agenda for research for intensifying insights regarding AI-enabled change in global business environments.

References
  1. I. M. Enholm, E. Papagiannidis, P. Mikalef, and J. Krogstie, “Artificial Intelligence and Business Value: A Literature Review,” Information Systems Frontiers, vol. 24, pp. 1709–1734, 2022. doi: https://10.1007/s10796-021-10186-w
  2. P. Jorzik, S. P. Klein, D. K. Kanbach, and S. Kraus, “AI-driven Business Model Innovation: A Systematic Review and Research Agenda,” Journal of Business Research, vol. 182, 2024. doi: https://doi.org/10.1016/j.jbusres.2024.114764
  3. W. Sun, S. Ren, and G. Tang, “In the Era of Responsible Artificial Intelligence and Digitalization: Business Group Digitalization, Operations and Subsidiary Performance,” Annals of Operations Research, 2025. doi: https://doi.org/10.1007/s10479-024-06453-z
  4. M. Ali, S. Nie, T. I. Khan, and M. Zaki, “Synergizing AI and Business: Maximizing Innovation, Creativity, Decision Precision, and Operational Efficiency in High-tech Enterprises,” Journal of Open Innovation: Technology, Market, and Complexity, vol. 10, no. 2, 2024. doi: https://doi.org/10.1016/j.joitmc.2024.100352
  5. S. Mishra and A. R. Tripathi, “AI Business Model: An Integrative Business Approach,” Journal of Innovation and Entrepreneurship, vol. 10, no. 18, 2021. doi: https://doi.org/10.1186/s13731-021-00157-5
  6. D. Sjödin, V. Parida, J. Jovanovic, and M. Visnjic, “How AI Capabilities Enable Business Model Innovation: Scaling AI through Co-evolutionary Processes and Feedback Loops,” Journal of Business Research, vol. 134, pp. 574–587, 2021. doi: https://doi.org/10.1016/j.jbusres.2021.05.009
  7. G. Tang, H. He, S. Ren, and D. Akisik, “Responsible AI-Based Business Process Management and Improvement,” Journal of Responsible Technology, vol. 1, 2024. doi: https://doi.org/10.1007/s44206-024-00105-2
  8. A. Aldoseri, K. N. Al-Khalifa, and A. M. Hamouda, “AI-Powered Innovation in Digital Transformation: Key Pillars and Industry Impact,” Sustainability, vol. 16, 2024. doi: https://doi.org/10.3390/su16051790
  9. N. Soni, E. K. Sharma, N. Singh, and A. Kapoor, “Artificial Intelligence in Business: From Research and Innovation to Market Deployment,” Procedia Computer Science, vol. 173, 2020. DOI: https://doi.org/10.1016/j.procs.2020.03.272
  10. A. Aagaard and C. Tucci, “AI-Driven Business Model Innovation: Pioneering New Frontiers in Value Creation,” in Business Model Innovation, A. Aagaard, Ed. Cham: Palgrave Macmillan, 2024. doi: https://doi.org/10.1007/978-3-031-57511-2_10.
Index Terms

Computer Science
Information Sciences

Keywords

Artificial Intelligence Data Platforms Business Model Innovation Digital Transformation Global Operations AI Capabilities Operational Efficiency