Effects of artificial intelligence on enterprise architectures-a structured literature review
JD Rittelmeyer, K Sandkuhl - 2021 IEEE 25th International …, 2021 - ieeexplore.ieee.org
Artificial Intelligence (AI) is one of the key drivers of digital transformation and challenges
enterprises to adapt to its various requirements. Many companies fail to implement AI …
enterprises to adapt to its various requirements. Many companies fail to implement AI …
Machine learning-enabled healthcare information systems in view of Industrial Information Integration Engineering
MP Uysal - Journal of Industrial Information Integration, 2022 - Elsevier
Recent studies on Machine learning (ML) and its industrial applications report that ML-
enabled systems may be at a high risk of failure or they can easily fall short of business …
enabled systems may be at a high risk of failure or they can easily fall short of business …
[HTML][HTML] Enterprise architecture-based metamodel for machine learning projects and its management
H Takeuchi, JH Husen, HT Tun, H Washizaki… - Future generation …, 2024 - Elsevier
In this study, we consider projects for developing service systems using machine learning
(ML) techniques. These projects involve collaboration between various stakeholders …
(ML) techniques. These projects involve collaboration between various stakeholders …
[PDF][PDF] Digital transformation: A systematic literature review from the theoretical lenses of the TOE framework
Digital transformation (DT) is a topic of the digital world that is neither stable nor clear, since
it is a complex concept of diffuse understanding that remains under discussion …
it is a complex concept of diffuse understanding that remains under discussion …
[PDF][PDF] How Does Enterprise Architecture Support Artificial Intelligence-Involved Digital Transformation in The Manufacturing Industry
R Dilnutt, D Xiao, G Fang, J Yang, R Ran, L Wu - 2023 - eapj.org
The adoption and impacts of enterprise architecture have long been a topic that has
attracted researchers from a variety of fields. With the rise of Industry 4.0 and smart …
attracted researchers from a variety of fields. With the rise of Industry 4.0 and smart …
Enterprise Architecture-based Metamodel for a Holistic Business—IT Alignment View on Machine Learning Projects
H Takeuchi, JH Husen, HT Tun… - … Conference on e …, 2023 - ieeexplore.ieee.org
In this study, we consider projects for developing service systems using machine learning
(ML) techniques. These projects involve collaboration between various stakeholders …
(ML) techniques. These projects involve collaboration between various stakeholders …
Intelligent Digital Enterprise Architecture: Perspectives, Trends, and Technologies
Nowadays, many companies, industries, and organizations deal with digital disruption
issues. They have to deal with it and take the initiative properly to keep their sustainability …
issues. They have to deal with it and take the initiative properly to keep their sustainability …
TOGAF-based Enterprise Architecture Framework for Utilizing Artificial Intelligence
TOGAF (The Open Group Architecture Framework) has become a fundamental guideline in
developing integrated enterprise architecture. At the same time, artificial intelligence is an …
developing integrated enterprise architecture. At the same time, artificial intelligence is an …
[PDF][PDF] Digital Enterprise Architecture for Green SPBE in Indonesia
Abstract SPBE (Electronic Based Government System) is a legal protection as new
breakthroughs in the reform of Indonesian government bureaucracy. The issuance of …
breakthroughs in the reform of Indonesian government bureaucracy. The issuance of …
Constructing reusable knowledge for machine learning projects based on project practices
H Takeuchi, K Imazaki, N Kuno, T Doi… - Intelligent Decision …, 2022 - journals.sagepub.com
Recently, machine learning (ML) techniques have been introduced into various domains.
This study focuses on projects for the development of ML-based service systems in which …
This study focuses on projects for the development of ML-based service systems in which …