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...
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,...
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,...
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,...
Data governance has become a pivotal element in assessing the efficacy and enduring stability of IT systems in the contemporary data-centric landscape. It includes frameworks that assist organizations in overseeing data collection, storage, processing,...
Research on artificial intelligence in finance often reports model accuracy without explaining how institutional governance shapes real decision outcomes. This review examines the analytical relationship among artificial intelligence integration, data...
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...
In a context of more complex and globally integrated financial systems, issues of harmonisation in cross-border reporting are intensifying. Regulatory disparities, linguistic variations, data compartmentalisation, and the continued emergence of unstructured...
The U.S. fair-lending regulatory landscape for AI-driven credit decisions has developed steadily since 2021: the CFPB confirmed in May 2022 and again in September 2023 that complex algorithmic models do not excuse Equal Credit Opportunity Act (ECOA)...
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...
This paper presents a cybersecurity-aware, risk-based quality assurance (QA) methodology for healthcare software platforms. Building on the AI and IoT-enabled monitoring system introduced by Kothamali et al. [1], this study introduces a QA framework that...
In the contemporary digital environment, the necessity for swift software development and deployment has resulted in the extensive implementation of DevOps approaches. DevOps prioritizes communication between development and operations teams, facilitating...
Rule-based transaction monitoring systems remain the default anti-money-laundering (AML) control at most deposit-taking institutions, yet they are widely reported to generate false-positive alert rates in excess of 95 percent. For large banks this...
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...
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...
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...
The integration of technology into healthcare has revolutionized patient care, bringing forth innovations that enhance diagnostic accuracy, treatment efficacy, and operational efficiency. As medical software systems become increasingly integral to...
Ransomware attacks on government agencies have escalated in both frequency and sophistication, posing significant challenges to national security, public safety, and operational continuity. These attacks encrypt critical data and demand ransom payments,...
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...
Static analysis has become a fundamental technology in embedded, cyber-physical, and electronic system software engineering due to the increasing complexity of modern software-controlled systems and the growing demand for safety, security, and reliability....
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 intellectual inquiry explores the profound influence of data quality on data analytics. The immaterial commences by delineating the multifarious aspects of data quality, which include accuracy, completeness, consistency, reliability, and timeliness. It...
Insurance systems are inherently complex, involving policy administration, premium calculations, underwriting processes, claims processing, and stringent regulatory compliance. Ensuring the accuracy and dependability of these systems requires sophisticated...
Contemporary enterprise platforms functioning in financially sensitive contexts must ensure elevated reliability, auditability, and real-time responsiveness. Conventional synchronous integration methods frequently result in tight coupling, delay, and...
Vehicle automation signifies a novel safety paradigm that may require a reevaluation of current safety supervision frameworks. This white paper provides an overview of the technical and regulatory framework regarding the safety of autonomous driving systems...
The main aim of the International Journal of Modern Computing (IJMC) is to publish refereed, well-written original research articles...
Haleema Tayyab
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