Strategic Data Governance for Secure AI Adoption and Organizational Resilience: Addressing Challenges in SMEs and Large Enterprises
Abstract
Background: In an era defined by the proliferation of Artificial Intelligence (AI) and big data, the
governance of information assets has transitioned from a back-office compliance function to a critical
strategic imperative. As organizations seek to leverage AI for competitive advantage, the quality,
security, and ethical management of underlying data have become paramount.
Methods: This study employs an integrative review of contemporary literature, industry frameworks
(such as DAMA-DMBOK), and empirical studies to analyze the evolving landscape of data governance.
The research specifically examines the distinct challenges faced by Small and Medium-sized Enterprises
(SMEs) compared to large corporations, alongside the critical role of governance in enabling secure AI
adoption.
Results: The analysis reveals that while foundational principles of governance remain consistent,
implementation strategies must be highly adaptive. Large enterprises often struggle with siloed data
and bureaucratic inertia, whereas SMEs face significant resource constraints that make comprehensive
frameworks difficult to operationalize. Furthermore, the integration of AI introduces complex ethical
variables, particularly regarding data privacy in sectors like healthcare and wearables.
Conclusion: Effective data governance requires a hybrid approach that balances rigid compliance with
agile decision-making. For AI to be secure and reliable, organizations must adopt metric-driven
governance models that prioritize data quality and ethical stewardship. The study suggests that future
frameworks must incorporate decentralized technologies, such as blockchain, to enhance trust and
transparency in multi-stakeholder environments.
Keywords
References
How to Cite
Most read articles by the same author(s)
- Dr. Fang-Yu Chen, Dr. Xinyue Zhao, Ecological Restoration and Sustainable Transformation of Mining Areas in the Context of China's Modernization Drive , Global Multidisciplinary Journal: Vol. 4 No. 09 (2025): Volume 04 Issue 09
- Johnathan R. Maxwell, Strategic Integration of Circular Business Models: Pathways to Sustainable Value Creation and Environmental Performance , Global Multidisciplinary Journal: Vol. 4 No. 10 (2025): Volume 04 Issue 10
- Dr. Sina Farsiu, Evaluating Supervised Machine Learning Models for Retinal Disease Detection Using the OCTID Dataset: A Comprehensive Analysis and Future Outlook , Global Multidisciplinary Journal: Vol. 4 No. 06 (2025): Volume 04 Issue 06
- Dr. Asha R. Menon, Resilience and Reconfiguration: Managing Semiconductor-Induced Disruptions in Automotive and Critical Supply Chains , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Dr. Elias Thorne, Dr. Sarah Vance, Unsupervised Feature Alignment: Ethical and Explainable Contrastive Approaches in Multimodal Artificial Intelligence Systems , Global Multidisciplinary Journal: Vol. 4 No. 09 (2025): Volume 04 Issue 09
- Dr. Elena Márquez, Towards Resilient and Privacy-Preserving Multi-Tenant Cloud Systems: A Synthesis of Blockchain, Trusted Execution, Differential Privacy, and Adaptive Isolation Mechanisms , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Arvind Raman, Towards Secure, Trusted, and Virtualized Multi-Tenant FPGA–Cloud Ecosystems: A Comprehensive Research Framework Integrating Hardware Roots of Trust, Cryptographic Acceleration, and Zero-Trust Cloud Security , Global Multidisciplinary Journal: Vol. 4 No. 09 (2025): Volume 04 Issue 09
- Dr. Rafael M. Cortez, Heterogeneous GPU Architectures, Energy-Aware Thermal Management, and Validation Strategies for Next-Generation High-Performance Computing , Global Multidisciplinary Journal: Vol. 4 No. 10 (2025): Volume 04 Issue 10
- Dr. Lukas Heinrich, Integrative Traffic Intelligence for Dynamic Vehicle Rerouting and Driver Monitoring: A Multilayered Systems Perspective on Congestion Mitigation and Adaptive Urban Mobility , Global Multidisciplinary Journal: Vol. 4 No. 05 (2025): Volume 04 Issue 05
- Nicola Banhwa, ECONOMISTS AND INDIGENOUS INSTITUTIONS: ROLES AND IMPACT , Global Multidisciplinary Journal: Vol. 3 No. 09 (2024): Volume 03 Issue 09
Similar Articles
- Owen B. Ashbourne, Automated Compliance and Governance in Cloud-Based Machine Learning Pipelines: Integrating MLOps, Auditability, and Regulatory Automation , Global Multidisciplinary Journal: Vol. 5 No. 02 (2026): Volume 05 Issue 02
- Dr. Gennarik L. Mortenkov, Synergizing Business Intelligence and Artificial Intelligence for Competitive Advantage: A Multi-Dimensional Analysis of Organizational Resilience and Decision-Making Frameworks , Global Multidisciplinary Journal: Vol. 4 No. 09 (2025): Volume 04 Issue 09
- Alexander P. Hofmann, Intelligent Governance Architectures for Regulated Digital States: Integrating Compliance, Risk, and Cybersecurity through Artificial Intelligence and Internet of Things Enabled Public Services , Global Multidisciplinary Journal: Vol. 4 No. 12 (2025): Volume 04 Issue 12
- Dr. Lukas Meyer, Integrating Hyperautomation, Generative Artificial Intelligence, and Intelligent Infrastructure for Smart Cities: A Unified Socio-Technical Framework , Global Multidisciplinary Journal: Vol. 5 No. 01 (2026): Volume 05 Issue 01
- Silas J. Merton, Integrating Artificial Intelligence and Real Time Data Processing in FinTech Credit Scoring Systems for Financial Inclusion and Risk Governance in Emerging Digital Economies , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Dr. Alejandro M. Torres, Artificial Intelligence–Enabled Financial Anomaly Detection and Reconciliation: Governance, Risk, and Explainability in Modern Accounting Ecosystems , Global Multidisciplinary Journal: Vol. 4 No. 08 (2025): Volume 04 Issue 08
- Dr. Lukas M. Verhoeven, Integrating Artificial Intelligence and Advanced Data Processing for Real-Time Credit Scoring: Theoretical Foundations, Methodological Innovations, and Implications for Contemporary Credit Risk Management , Global Multidisciplinary Journal: Vol. 4 No. 10 (2025): Volume 04 Issue 10
- Patrick L. Grayson, Behavioral Biometric Intelligence and Regulatory Convergence in Retirement Account Protection: An AI Driven Security Architecture for 401k Platforms , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Dr. Amelia Torres, Transforming Merger and Acquisition Practice through Artificial Intelligence: A Theoretical and Applied Framework for AI-Enabled Due Diligence and Decision-Making , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Shivam Kumar, Redefining Entry-Level Analyst Roles In M&A: AI-Driven Transformation Of Diligence, Skillsets, And Deal Execution , Global Multidisciplinary Journal: Vol. 4 No. 10 (2025): Volume 04 Issue 10
You may also start an advanced similarity search for this article.