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...
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...
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...
Over the last twenty years, Master Data Management (MDM) and Data Governance (DG) have evolved dramatically, progressing from foundational roles in data quality and regulatory compliance to strategic enablers of enterprise agility and digital innovation....
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...
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...
The decision-making process relies on assumptions, premises, and background, all of which are directed by the objective linked to the choice. The backdrop and assumptions reflect external factors beyond the control of any decision-maker, whereas the...
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...
The majority of machine learning applications in citizen science have focused on image classification, with algorithms trained to identify species or classify objects from photographs. However, many citizen science projects collect diverse types of data,...
A rethinking of Quality Assurance (QA) procedures is necessary in the modern software development environment, where Agile and DevOps approaches prioritize continuous integration and quick delivery. Examining two crucial areas—test case design and test data...
Artificial intelligence is reshaping financial analysis, yet the value of advanced algorithms depends heavily on the quality of the data and governance systems surrounding them. This review examines how artificial intelligence strengthens data governance...
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...
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...
Through the integration of analytical tools with operational and historical data, business intelligence systems provide crucial and competitive information to those responsible for corporate planning and decision-making. In order to help managers,...
In the modern digital era, data has become one of the most valuable organizational assets, driving innovation, efficiency, and competitive advantage. However, the mere availability of large volumes of data does not automatically translate into effective...
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...
Impacted by globalisation, technological breakthroughs, and ever-changing customer expectations, the food business has experienced dramatic transformations over the past several decades. The use of big data and artificial intelligence (AI) has been more...
The WEKA (Waikato Environment for Knowledge Analysis) provides a comprehensive suite of tools and functionalities for applying data mining techniques to large and complex datasets. Designed to support both academic research and industrial applications, WEKA...
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 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...
As company networks become more complicated and cyber-attacks more frequent, insider threats have surfaced as a considerable concern to organizational security. Artificial Intelligence (AI) have the capacity to transform how organizations discover and...
Ensemble machine-learning models have achieved striking published results for financial transaction fraud detection, with recent peer-reviewed studies reporting F1-scores as high as 0.99 and accuracy exceeding 99.9 percent on benchmark credit-card fraud...
The rapid evolution of Agile and DevOps methodologies has significantly transformed modern software development by emphasizing continuous delivery, rapid iteration, and collaboration among multidisciplinary teams. In this environment, traditional software...
The integration of technology in healthcare has revolutionized patient care and operational efficiency, but it also introduces significant risks associated with medical software. Effective risk management is essential in the quality assurance (QA) process...
The rapid growth of Large Language Models (LLMs) has transformed multiple sectors, including healthcare, finance, cybersecurity, education, and supply chain management. As AI systems become increasingly integrated into critical decision-making processes,...
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