Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)

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Artificial Intelligence in Enterprise Architecture: Innovations, Integration Challenges, and Ethics

Authors
Nur Azaliah Abu Bakar1, *, Abdul Hafiz Suib1, Amanina Othman1, Amirul Afiq Amdan1, Mohd Ariffin Abu Hassan2, Surya Sumarni Hussein3
1Faculty of Artificial Intelligence, Universiti Teknologi Malaysia, Johor Bahru, Malaysia
2UTM International, Universiti Teknologi Malaysia, Johor Bahru, Malaysia
3College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
*Corresponding author. Email: azaliah@utm.my
Corresponding Author
Nur Azaliah Abu Bakar
Available Online 1 December 2024.
DOI
10.2991/978-94-6463-589-8_54How to use a DOI?
Keywords
Artificial Intelligence; Enterprise Architecture; Automation; Decision-Making; Strategic Alignment
Abstract

The rapid integration of Artificial Intelligence (AI) into Enterprise Architecture (EA) frameworks is pivotal for enhancing decision-making, operational efficiency, and strategic alignment across various sectors. This study systematically examines the integration of AI with EA frameworks such as TOGAF, Zachman, and Service-Oriented Architecture (SOA), focusing on methodologies, benefits, and challenges. Employing a Systematic Literature Review (SLR) methodology, the study analyzes data from academic databases published between 2018 and 2024. Key findings highlight AI's ability to improve decision-making through data-driven insights and predictive analytics, automate routine tasks for enhanced operational efficiency, and foster innovation through strategic alignment. However, significant challenges persist, including technical integration issues, data privacy concerns, and the need for empirical validation. Robust governance frameworks and ethical standards are essential to manage these challenges and ensure responsible AI adoption. The study underscores AI's transformative potential in EA, providing valuable insights for driving digital transformation and achieving strategic goals. Future research should focus on empirical validation of proposed frameworks and addressing ethical and governance issues to enhance the effectiveness and impact of AI-enabled EA.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)
Series
Advances in Computer Science Research
Publication Date
1 December 2024
ISBN
978-94-6463-589-8
ISSN
2352-538X
DOI
10.2991/978-94-6463-589-8_54How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Nur Azaliah Abu Bakar
AU  - Abdul Hafiz Suib
AU  - Amanina Othman
AU  - Amirul Afiq Amdan
AU  - Mohd Ariffin Abu Hassan
AU  - Surya Sumarni Hussein
PY  - 2024
DA  - 2024/12/01
TI  - Artificial Intelligence in Enterprise Architecture: Innovations, Integration Challenges, and Ethics
BT  - Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)
PB  - Atlantis Press
SP  - 578
EP  - 588
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-589-8_54
DO  - 10.2991/978-94-6463-589-8_54
ID  - Bakar2024
ER  -