This research study analyzes the transformational impact of Generative AI on Oracle Database Automation, emphasizing its capacity to change data management and analytics. As enterprises increasingly depend on data-driven decision-making, efficient and...
The growth of contemporary computer hardware and the availability of soft-computing tools have penetrated the market and influenced prospective research across nearly all areas of education. Management education is not exempt from the growing trends...
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...
Public administration relies on high-quality data for policy development, service delivery, regulatory oversight, and accountability. However, government agencies face persistent data quality challenges that compromise their effectiveness and erode public...
The rapid adoption of cloud-optimized data engineering systems has revolutionized the way organizations handle vast volumes of data. These systems offer unmatched scalability, flexibility, and cost-efficiency. However, their increasing complexity and...
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 integration of data analytics in Offender Management Systems (OMS) has revolutionized risk assessment, predictive analysis, and offender classification, fundamentally transforming criminal justice decision-making. Traditional methods, reliant on...
Higher education institutions are increasingly adopting data analytics to improve student outcomes, optimize financial planning, and enhance operational efficiency. Oracle Analytics offers a comprehensive suite of business intelligence tools that facilitate...
Multimorbidity, the coexistence of two or more chronic conditions in an individual, presents complex challenges for healthcare management and research. Traditional epidemiological and statistical methods often fail to capture the intricate interactions...
Cloud ecosystems are of particular importance in terms of providing supporting framework for a wide range of current and future digital services and applications, but they also have potentially fatal flaws in terms of resource management and data integrity....
The future of smart cities promises unprecedented efficiency, connectivity, and sustainability through advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and big data analytics. However, as urban areas become...
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,...
Cloud computing has become the backbone of modern digital infrastructure, enabling businesses to leverage scalable, on-demand resources for storage, computation, and data management. However, the dynamic nature of cloud environments introduces 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...
This paper investigates the use of artificial intelligence (AI) in metadata management in libraries, focusing on the problems, potential, and future improvements. Metadata is critical for organizing, managing, and retrieving library resources, and AI...
Governments worldwide face increasing challenges in responding to disasters and crises, necessitating resilient IT strategies that ensure continuity, adaptability, and efficiency. A robust IT framework for disaster response and crisis management integrates...
Understanding cybersecurity and password management is essential for privacy, data protection, and stopping online crime. Social media accounts, emails, bank records, and other sensitive and personal data are maintained online in the digital era. Learning...
Computerization in medical services is rapidly transforming the landscape of modern healthcare, particularly within critical environments such as the Operating Room (OR) and Intensive Care Unit (ICU). The integration of advanced digital technologies has led...
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...
Data analytics in higher education offers distinct potential to analyze, comprehend, and model educational processes. As a result, the approaches and procedures supporting data analytics in higher education have resulted in distinct, highly correlated...
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...
SR 11-7, issued jointly by the Federal Reserve and OCC in April 2011, remains a foundational U.S. standard for model risk management. Its framework is based on three core pillars: sound model development, effective independent validation and challenge, and...
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 oil and gas industry operate within a highly complex and volatile supply chain environment, demanding efficient management practices to ensure operational reliability and cost-effectiveness. Traditional Enterprise Resource Planning (ERP) systems, while...
Artificial intelligence (AI) in the healthcare sector is attracting attention from researchers and healthcare practitioners. Prior study has been limited in examining this problem from a multidisciplinary perspective, including accounting, business and...
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