Federated Enterprise Intelligence for AI-Driven Decision Support, Secure Data Governance, and Real-Time Operations
Abstract
The rapid expansion of digital enterprises has accelerated the adoption of intelligent technologies capable of improving decision-making, securing organizational data, and enabling real-time operational excellence. Federated Enterprise Intelligence represents a next-generation computing paradigm that integrates Artificial Intelligence (AI), distributed data governance, cloud computing, edge intelligence, and real-time analytics into a collaborative framework that preserves data privacy while maximizing organizational intelligence. Unlike centralized enterprise architectures, federated intelligence enables multiple organizations, departments, and distributed systems to collaborate without exposing sensitive information through advanced techniques such as federated learning, privacy-preserving analytics, and secure data-sharing mechanisms. AI-driven decision support enhances business agility by automating data analysis, predicting operational outcomes, identifying emerging risks, and optimizing enterprise workflows. Secure data governance ensures regulatory compliance, data integrity, access control, and transparency through robust governance frameworks and advanced cybersecurity practices. Real-time operations leverage cloud platforms, Internet of Things (IoT) devices, edge computing, and streaming analytics to provide continuous situational awareness and rapid response to dynamic business environments. This paper proposes a federated enterprise intelligence framework that combines AI-driven decision support, secure data governance, and real-time operational intelligence to enable sustainable digital transformation. The proposed framework improves enterprise resilience, operational efficiency, data privacy, regulatory compliance, and collaborative innovation while supporting intelligent business ecosystems capable of adapting to future technological and organizational challenges
Article Information
Journal |
International Journal of Advanced Engineering Science and Information Technology (IJAESIT) |
|---|---|
Volume (Issue) |
Vol. 8 No. 6 (2025): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) |
DOI |
|
Pages |
17835-17845 |
Published |
November 15, 2025 |
| Copyright | |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
David Singleton (2025). Federated Enterprise Intelligence for AI-Driven Decision Support, Secure Data Governance, and Real-Time Operations. International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , Vol. 8 No. 6 (2025): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , pp. 17835-17845. https://doi.org/10.15662/IJAESIT.2025.0806016 |
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