Metadata-driven data models have become a crucial facilitator in the advancement of self-service business intelligence (BI) platforms. Organisations can utilise metadata to develop adaptable, scalable, and user-centric data models that enable end users to...
As organizations increasingly leverage Artificial Intelligence (AI) to foster innovation and improve operational performance, the availability of high-quality, well-documented, and easily accessible data has become a decisive factor for success. This paper...
Small and medium enterprises face unique data quality challenges that distinguish them from larger organizations. Limited resources, technical capabilities, and specialized expertise constrain the ability of SMEs to implement comprehensive data quality...
Healthcare is one of the most data-intensive sectors, with patient records, clinical trials, public health surveillance, and research generating vast amounts of information that directly impact patient safety, clinical decision-making, and health policy....
Data quality has emerged as a fundamental pillar of scientific integrity, organizational performance, and evidence-based decision-making in the contemporary digital landscape. As artificial intelligence systems become increasingly integrated into...
Contemporary Artificial Intelligence (AI) systems require fluid, scalable, and intelligent data streams to facilitate real-time analytics, model training, and automated decision-making. Traditional data pipelines are frequently inflexible, labour-intensive,...
The FAIR principles Findable, Accessible, Interoperable, and Reusable—have emerged as a foundational framework for scientific data management, providing guidance for ensuring that data remain valuable and usable over time. This review examines the...
The rapid advancement of large language models (LLMs) such as GPT and BERT has revolutionized multiple industries, including healthcare, finance, supply chain management, and cybersecurity. While these models demonstrate remarkable capabilities in natural...
s multi-cloud ecosystems continue to gain traction in organizations for their flexibility and scalability, ensuring data reliability across diverse cloud platforms has become a critical challenge. This research explores AI-driven strategies to enhance data...
In the current digital landscape, characterized by the rapid expansion of Artificial Intelligence and data-intensive technologies, data governance has evolved into a strategic foundation for sustainable organizational growth rather than a purely regulatory...
Data quality is commonly understood as a technical challenge requiring measurement, validation, and correction of data errors. However, this perspective overlooks the fundamental socio-organizational dimensions that shape data quality outcomes. This review...
Large Language Models (LLMs) such as GPT-3, GPT-4, BERT, and their domain-specific variants have rapidly transformed software development and a wide range of application domains, including healthcare, finance, e-commerce, travel, cybersecurity, and...
The swift advancement of Artificial Intelligence (AI) has necessitated the generation of novel opportunities and efficiency across several sectors. Simultaneously, the dependence on AI for personal data throughout its training process encompasses several...
Modern Cloud Data Centers exploit virtualization for efficient resource management to reduce cloud computational cost and energy budget. Virtualization empowered by virtual machine (VM) migration meets the ever-increasing demands of dynamic workload by...
Artificial Intelligence (AI) data governance has become a critical component in ensuring the responsible, secure, and transparent deployment of AI systems across multiple domains. This article explores the implementation of AI data governance in supply...
Hybrid cloud had evolved as the most popular choice for cloud solution, it enhances the flexibility of enterprises to process and manage data at a quicker pace by integrating both public and private clouds. However, achieving data reliability – consistency,...
The rapid proliferation of Artificial Intelligence (AI) across industries has placed data quality at the forefront of organizational priorities. High-quality data is essential not only for the accurate training of AI models but also for ensuring ethical,...
Enterprise Resource Planning (ERP) systems have become essential for higher education institutions (HEIs), facilitating centralized management of academic and administrative functions. As HEIs face increasing operational complexities, ERP solutions...
Higher education institutions (HEIs) are increasingly leveraging data analytics to enhance decision-making processes and improve student outcomes. As academic institutions face mounting challenges such as fluctuating enrollment rates, financial constraints,...
As artificial intelligence becomes increasingly integrated into organizational operations and decision-making processes, the importance of robust data governance has intensified significantly. This review examines the evolution of data governance frameworks...
Cloud storage security in government agencies is critical to safeguarding national data from cyber threats, as the increasing reliance on cloud computing introduces new vulnerabilities that adversaries seek to exploit. Government agencies store vast amounts...
The recent increase in the use of big data and analytics in various global industries has created pressure on industries to develop reliable and flexible frameworks for data governance. Historically used approaches can be ineffective in addressing the...
As distributed cloud systems continue to evolve and become integral to modern computing, ensuring data reliability remains a significant challenge. Distributed environments, while offering flexibility and scalability, face issues such as data inconsistency,...
The swift embrace of cloud computing has revolutionised organisational management of IT resources, requiring strong governance frameworks to tackle the complexities and hazards associated with cloud systems. This paper presents a complete governance...
The swift embrace of cloud computing has revolutionised contemporary enterprises, facilitating scalable, efficient, and adaptable operations. Nonetheless, it has also presented new security issues, especially in identity and access management (IAM)....
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