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...
Machine learning (ML) has revolutionized data analytics by enabling organizations to uncover hidden patterns, automate decision-making, and optimize various business processes. The rapid expansion of data volume and complexity has rendered traditional...
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...
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 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...
Prison violence presents a serious challenge to inmate and staff safety, necessitating advanced predictive analytics for effective prevention. Traditional reactive security measures have proven inadequate, highlighting the need for artificial intelligence...
Customer engagement platforms have evolved significantly, with artificial intelligence (AI) facilitating a transition from a reactive, service-oriented model to a proactive, predictive, and personalised approach to customer engagement. Customer attrition...
This paper discusses and analyzes the transformative role of artificial intelligence in fraud detection within healthcare systems, emphasizing a data-driven approach. The integration of AI in fraud detection not only enhances accuracy but also minimizes...
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...
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...
This systematic review examines data-driven GenAI and Go-To-Market (GTM) execution models utilized by high-growth startups and Fortune 500 companies, with the objective of identifying common strategies, critical differentiators, and performance outcomes. As...
Financial organisations increasingly use artificial intelligence to detect fraud, assess creditworthiness, forecast investment conditions, monitor portfolios, and automate regulatory reporting. This critical narrative review examines the decision...
Artificial Intelligence (AI) is playing an increasingly pivotal role in national security, transforming defence strategies, cybersecurity operations, and government security solutions. AI-driven national defence strategies enhance situational awareness,...
Supply chain efficiency is a critical factor in maintaining competitive advantage in today’s dynamic business landscape. This research explores the integration of forecasting and order fulfillment strategies to enhance supply chain performance, reduce...
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...
Small and Medium Enterprises (SMEs) increasingly rely on cloud computing to drive innovation, scalability, and operational efficiency. However, managing cloud costs effectively remains a significant challenge, often leading to resource wastage and budget...
Machine learning (ML) models have emerged as powerful tools in cybersecurity, offering proactive threat detection and risk mitigation capabilities. This study examines the effectiveness of ML models in predicting ransomware attacks on critical public health...
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...
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...
The growing digitalisation of financial services and distant contacts has rendered artificial intelligence (AI) essential for providing assistance. This research investigates the capacity of AI-driven technologies—specifically machine learning algorithms...
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 emergence of generative artificial intelligence (AI) technologies signifies a transformative period in industrial innovation, providing unparalleled abilities for content generation, predictive analytics, and automation. This paper explores the...
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 (AI) has emerged as a transformative force across scientific domains, with particularly profound implications in the field of medicine. Originally conceptualized in the mid-20th century as a means to replicate human intelligence, AI...
Efficient inventory management is pivotal for manufacturing companies striving to maintain operational excellence, minimize costs, and meet dynamic market demands. Traditional inventory management systems, while functional, often fall short in addressing...
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