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International Journal of Acta Informatica
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  • IJAI 2024-07-05

    The Role of AI in Enhancing Data Governance Strategies

    Bharath Kishore Gudepu, Rebecca Eichler

    Digital transformation has restructured company processes, enhancing efficiency, innovation, and competitiveness using artificial intelligence (AI) and sophisticated analytics. The fast implementation of AI-driven processes presents considerable regulatory...

    169-186
  • IJAI 2022-12-29

    Leveraging Intelligent Master Data Management to Strengthen Real-Time Data Governance and Business Value

    Y. P.

    In the era of rapid digital transformation, where organizations increasingly rely on data-driven strategies, the ability to manage and synchronize enterprise data in real time has become a critical strategic requirement. Traditional Master Data Management...

    241-245
  • IJAI 2022-12-31

    Data Quality in the Age of Artificial Intelligence: A Comprehensive Review of Frameworks, Challenges, and Governance Strategies

    Mohammad Rahim Albous

    Data quality has emerged as a fundamental pillar of scientific integrity, organizational performance, and evidence-based decision-making in the contemporary digital landscape. As artificial intelligence systems become increasingly integrated into...

    256-268
  • IJAI 2023-12-16

    Artificial Intelligence–Driven Metadata Management for Comprehensive Data Governance

    Sai Krishna Chaitanya Tulli, Y. P.

    As data ecosystems become increasingly complex, organizations are compelled to implement strong data governance mechanisms to safeguard data accuracy, confidentiality, and regulatory adherence. Within this landscape, metadata management serves as a...

    230-236
  • IJAI 2022-12-29

    Artificial Intelligence–Driven Metadata Management for Comprehensive Data Governance

    Y. P., Dillep Kumar Pentyala

    As data ecosystems become increasingly complex, organizations are compelled to implement strong data governance mechanisms to safeguard data accuracy, confidentiality, and regulatory adherence. Within this landscape, metadata management serves as a...

    235-240
  • IJAI 2023-12-16

    Metadata-Driven Approaches to AI-Ready Data: Improving Data Discovery and Usability

    Sai Krishna Chaitanya Tulli, Y. P.

    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...

    236-254
  • IJAI 2022-12-29

    Why Real-Time Data Discovery is a Game Changer for Enterprises

    Bharath Kishore Gudepu, Divya Sai Jaladi

    Real-time data processing has emerged as a crucial tool for contemporary enterprises, allowing instantaneous analysis and response to perpetually created data. This study examines the significant influence of real-time data processing on corporate...

    164-175
  • IJAI 2024-07-10

    Intelligent AI Data Governance Frameworks for Large Language Models: Challenges, Applications, and Future Perspectives

    Sofia Nishimura

    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,...

    230-235
  • IJAI 2025-12-15

    AI-Optimized Full-Stack Governance: An Integrated Artificial Intelligence Framework for End-to-End Organizational Oversight, Compliance, and Decision-Making

    Yuktab

    Artificial Intelligence (AI) has emerged as a transformative force reshaping governance frameworks across modern organizations. AI-Optimized Full-Stack Governance represents an advanced, integrated governance model that embeds AI-driven intelligence across...

    19-24
  • IJAI 2026-06-03

    Regulating AI in Healthcare Policy Gaps, Ethical Challenges, and Data Protection Frameworks

    Mert Can Mickelsson

    The intersection of artificial intelligence, genetic information, and health research presents complex ethical dilemmas that challenge existing data protection frameworks, including the European General Data Protection Regulation. This article examines the...

    22-29
  • IJAI 2022-12-29

    Data Discovery and Security: Protecting Sensitive Information

    Bharath Kishore Gudepu, Divya Sai Jaladi

    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...

    176-187
  • IJAI 2024-06-29

    Role of Data-Driven Decision Making in Enhancing Higher Education Performance: A Comprehensive Analysis of Analytics in Institutional Management

    Krishna C Gonugunta, Kornada Leo

    Higher education institutions (HEIs) are increasingly leveraging data analytics to enhance decision-making processes and improve student outcomes. As academic institutions face mounting challenges such as fluctuating enrollment rates, financial constraints,...

    149-159
  • IJAI 2025-12-20

    Model Risk Management for Adaptive Credit Early-Warning Systems in Supervised SmallBusiness Lending: Aligning Machine-Learning Recalibration with Federal Model-Risk Guidance and the NIST AI Risk Management Framework

    Naima Bintay Karim, Tomasz Kovac, Zhu Song-Chun

    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...

    80-94
  • IJAI 2025-12-18

    Concept-Drift-Resilient Ensemble Learning for Financial Transaction Fraud Detection Under Evolving Criminal Typologies

    Md Soebur Rahman, Chashi Sabrina Islam, Mariia Mudryi, Sini Cakmak

    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...

    52-67
  • IJAI 2022-12-29

    Resilient IT Strategies for Governmental Disaster Response and Crisis Management

    Praveen Kumar Pemmasani, Mohamad Adzizulrohim Abd Nasaruddin

    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...

    151-163
  • IJAI 2026-06-05

    Governance of Artificial Intelligence in Healthcare Policy and Legislative Approaches to Balancing Innovation and Data Protection

    Sini Cakmak

    The transformative potential of artificial intelligence in healthcare has generated substantial enthusiasm among researchers, clinicians, and policymakers. AI applications in diagnosis, treatment, monitoring, and research promise significant benefits for...

    30-35
  • IJAI 2022-12-29

    How Oracle analytics could help Higher Education deliver value to Educators/Students?

    Krishna C Gonugunta, Meng Chen

    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...

    138-150
  • IJAI 2024-07-14

    Adaptive Machine-Learning Detection and Prevention of Financial-Transactions Fraud at Community Financial Institutions: Recalibrating Risk Signals Under Shifting Fraud Typologies and Record Suspicious-Activity Monitoring Burdens

    Naima Bintay Karim, Raj Kumar Pentyala, Rafael Simko

    Community financial institutions are facing a simultaneous rise in fraud incidence and in the regulatory monitoring burden that accompanies it. U.S. Suspicious Activity Report (SAR) filings reached a record 3.6 million across all filer groups in 2022, up...

    259-278
  • IJAI 2024-07-13

    Human-Centered AI in Healthcare: Ethical Design Principles for Diverse and Resource-Limited Settings

    Haibo Weng

    The deployment of artificial intelligence in healthcare settings necessitates a fundamental shift toward human-centered design principles that prioritize the needs, values, and circumstances of end-users and affected communities. This article examines the...

    236-244
1 - 19 of 19 items

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