Data warehousing has undergone significant transformations since its inception, yet several critical areas remain unexplored. Traditional models, such as the Inmon and Kimball approaches, laid the foundation for structured data management. However, emerging...
Personal data privacy is a top priority in the digital age, leading to strict legislation like the General Data privacy Regulation (GDPR) and California Consumer Privacy Act (CCPA). This research study examines the relationship between data privacy,...
In the contemporary digital economy, organizations increasingly depend on data as a strategic asset for decision-making, innovation, and regulatory compliance. As a result, data governance has emerged as a critical organizational function that ensures data...
The implementation of advanced data analytics solutions has become paramount in higher education institutions, particularly within correctional education programs. The Department of Corrections (DOC) has faced persistent challenges in ensuring data...
Big data science has and is rapidly growing in the industries and is known to help in data analysis and forecasting. But the growth of data sharing in organizations creates many privacy problems especially in distributed environments. Discussing privacy...
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...
The exponential growth of data generated by digital platforms, enterprise systems, and emerging technologies has significantly increased the complexity of data governance within modern organizations. Data Governance Analysts are tasked with ensuring that...
Digital transformation has restructured company processes, enhancing efficiency, innovation, and competitiveness using artificial intelligence (AI) and sophisticated analytics. The fast implementation of AI-driven processes presents considerable regulatory...
In an era of digital transformation, government organizations handle vast amounts of sensitive data, making robust data governance essential for ensuring security, compliance, and efficiency. Public sector data governance encompasses policies, frameworks,...
Data mining has become a fundamental component of knowledge discovery across diverse domains such as healthcare, finance, scientific research, and business intelligence. As data volumes, sources, and analytical techniques continue to expand, the need for...
Artificial intelligence depends on large and often high-dimensional datasets, creating privacy risks that are not fully addressed by conventional policy statements. Public agencies and infrastructure operators may process health records, mobility traces,...
The intersection of artificial intelligence, genetic information, and health research presents complex ethical dilemmas that challenge existing data protection frameworks, including the European General Data Protection Regulation. This article examines the...
The rapid proliferation of cloud infrastructures has transformed data management, enabling organizations to process, store, and analyse vast amounts of data with unprecedented efficiency. However, the reliability of data pipelines within these...
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...
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...
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...
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...
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...
Due to the overwhelming number of solutions for Big Data processing during the last few years, distributed data engineering frameworks have become one of the most effective tools for real-time analyses and decision-making in numerous domains. However, these...
Large Language Models (LLMs) are rapidly transforming multiple sectors, including healthcare, finance, and cybersecurity, by enabling advanced data-driven insights and automation. However, the scale and complexity of LLMs introduce significant challenges in...
The rapid advancement of machine learning (ML) has transformed industries by enabling sophisticated data-driven decision-making, yet it has also introduced critical ethical challenges. Ethical data governance frameworks are essential to ensure that ML...
The rapid advancement of Large Language Models (LLMs) has significantly transformed industries such as healthcare, finance, e-commerce, travel, and cybersecurity by enabling intelligent automation, advanced analytics, and human-like communication. However,...
The integration of artificial intelligence into citizen science has created unprecedented opportunities for scientific discovery, but it has also introduced significant ethical challenges that must be addressed to protect participants, maintain trust, and...
The advancement of full-stack development frameworks has transformed the software development domain, facilitating the seamless integration of front-end and back-end operations. As dependence on web and mobile apps grows, security and compliance have...
The current article examines the regulating factors of analytics, particularly about citizen behaviors and transactions, which are contingent upon the operational realm of an organization (corporate, public sector/government, or academic). We contend that...
An international, open-access academic press.
YUKTAB Publisher
Awan Tower, Peshawar, Pakistan
Monday – Friday, 9:00 AM – 6:00 PM (PKT)
For manuscript status queries, please contact the relevant journal's editorial team directly rather than the general office.
