Data-driven research, together with its implications in machine learning and the broader domain of artificial intelligence, have the capacity to instigate significant transformations in medicine. Nevertheless, medicine is not a science akin to others. It is...
Zero Trust Security (ZTS) has emerged as a critical cybersecurity framework for protecting sensitive patient data in healthcare networks. The Zero Trust (ZT) model challenges traditional perimeter-based security, assuming that no user, device, or network...
The rapid growth of urbanization and globalization has amplified the complexity of modern transportation systems, necessitating innovative approaches to model and optimize these networks. This study explores the integration of Big Data and graph theory as a...
Startups and SMEs need focus, particularly technology startups; although they are fueled by innovation and advancing technology, they require improved data protection practices. This research seeks to collect data regarding the awareness of startups about...
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,...
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,...
Although resilient performance (RP) in health services can be both enhanced and hindered by the use of digital technologies (DTs), little is known on how this influence occurs through design. This study introduces a framework for designing resilient health...
This paper introduces a data analytics-driven methodology for supplier onboarding and ERP-based compliance management that expedites qualification, enhances assurance, and reduces lifecycle risk. A standardized digital intake records identity, regulatory,...
This paper introduces a data analytics-driven methodology for supplier onboarding and ERP-based compliance management that expedites qualification, enhances assurance, and reduces lifecycle risk. A standardized digital intake records identity, regulatory,...
To optimize marketing and sales efforts, ML enables more precise audience segmentation and campaign optimization, which in turn triggers a paradigm change in these fields. In order to determine the best channels and marketing strategies for each cohort, ML...
Cyber insurance and risk transfer mechanisms play a critical role in supporting public health entities' recovery in the aftermath of cyberattacks, which have become increasingly frequent and sophisticated. As public health organizations are highly dependent...
There are a vast number of interconnected transaction level facts that are contained within relational databases. These facts can collectively (or separately) represent an infinite number of business records. We provide a framework in this article that...
The swift rise in global internet utilization and the escalating intricacy of digital landscapes have compelled firms to undertake digital transformation to maintain competitiveness. Despite previous studies emphasizing the significance of digital...
Multimorbidity denotes the simultaneous presence of two or more chronic illnesses inside an individual. Consequently, individuals with multimorbidity possess diverse and specific treatment requirements. In reality, fulfilling these objectives is challenging...
On April 17, 2026, the Federal Reserve, OCC, and FDIC jointly issued SR 26-2, Revised Guidance on Model Risk Management, which supersedes both the foundational 2011 guidance (SR 11-7 / OCC Bulletin 2011-12) and the 2021 interagency statement on BSA/AML...
Efficient order fulfillment is a critical component of modern supply chain management, directly influencing customer satisfaction, operational efficiency, and business profitability. Oracle NetSuite Warehouse Management System (WMS) emerges as a robust...
In the era of globalization and technological advancements, supply chain optimization has emerged as a critical driver of success for the manufacturing industry. Manufacturers face persistent challenges such as demand volatility, supply disruptions,...
One of the most important models that have become significant for organizations with their IT service requirements is the hybrid cloud computing model. Hybrid models are defined as cloud computing combining smooth-running on-premises resources with public...
Contemporary businesses are progressively implementing an AI-centric product design approach, integrating machine learning (ML) intelligence into the foundation of new products and functionalities. This paper offers an extensive examination of scalable...
The issue of ethical governance for robotics and artificial intelligence (AI) systems is examined in this paper. As a framework to guide ethical governance in robotics and AI, we present a roadmap that connects several components, such as ethics, standards,...
The use of artificial intelligence in critical infrastructure creates a new class of cyber-physical and institutional risks. AI systems depend on extensive data pipelines, complex models, software supply chains, cloud services, interfaces, and continuous...
This study examines the transformational evolution of public health organisations as they confront and surmount the dynamic security problems in the contemporary linked, data-centric healthcare landscape. As dependence on digital technologies like...
Cloud computing services have quickly proven to be one of the primary technologies that can meet the dynamic needs of an organization, regarding IT resources distribution. But the problem of efficient resource provisioning is still considered quite...
The persistent issue of recidivism in Nevada’s criminal justice system necessitates data-driven intervention strategies to reduce re-offense rates and enhance public safety. This study explores the role of predictive analytics, correctional education, and...
Community Development Financial Institutions (CDFIs) extend credit to small businesses and borrowers that mainstream lenders often decline, pursuing a mission of economic revitalisation in underserved communities. This mandate, however, exposes CDFIs to...
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