AI-Powered Innovation in Digital Transformation: Key Pillars and Industry Impact

Aldoseri, Abdulaziz; Al-Khalifa, Khalifa N.; Hamouda, Abdel Magid

doi:10.3390/su16051790

Cited by 10 publications

(3 citation statements)

References 72 publications

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“…Aldoseri, Al-Khalifa and Hamouda (2024) claim digital transformation systems generate a substantial volume of data, creating opportunities for potential innovation, particularly those driven by artificial intelligence. The work emphasizes the key pillars essential for fostering AI-powered innovation, including monitoring performance measurement to use the power of the present, continuous learning and innovation, data analytics and insights, predictive analytics, and innovative product development [24]. Ducange, et al (2019) claim a Decision Support System (DSS) is presented, which is able to efficiently support companies and enterprises in managing promotional and marketing campaigns on multiple social media channels.…”

Section: Literature Review On Digital Business Operations and Decisio...mentioning

confidence: 99%

Sustainable System Development and Strategic Framework for ESGI Enterprise Transformation in Large Multi-purposes Sports Venues

Yan,

Chi

2024

Preprint

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With the trend of public infrastructure becoming more sustainable, large multi-purpose sports venues (LMPSVs) have become one of the world's most complex architectural projects and one of the landmark buildings of an international city. LMPSVs will lead the world in sustainable design, construction and operational innovations, and play a crucial role in raising awareness of sustainability around the world. System Thinking (ST), System Dynamics (SD) and Sustainable System Development (SSD) theories are three interrelated concepts that together form a methodological framework for solving complex system problems and driving strategies. The purpose of this study is to examine how LMPSVs can implement environmental, social, governance, and innovation (ESGI) enterprise transformation strategy (ETS) based on a sustainable systems development (SSD) framework. In view of the current global environmental challenges and social responsibility requirements, the motivation of this study is to provide an integrated transformation pathway for LMPSVs to achieve the goal of sustainable development and to contribute to the field of related disciplines. The methodology of this research adopts a combination of literature review and case study analysis, and the theoretical basis is mainly drawn from cutting-edge research in the fields of sustainable development, corporate social responsibility (CSR) and environmental management. Then, by analyzing successful transformation cases in China, we extract data and information to explore the application and effectiveness of these strategies in practice. The results of the study show that by implementing ESGI-based transformation strategy, LMPSVs can not only make significant progress in terms of environmental protection, social responsibility, and governance structure, but also drive long-term corporate growth and competitiveness through innovation. Specifically, these results are realized in terms of increased efficiency in energy use, improved waste management, community involvement and increased stakeholder satisfaction. The study concludes by emphasizing that the SSD-based ESGI Transformation Strategic framework provides a sustainable pathway for LMPSVs. In the future, the extension of this transformation strategy will help a wider range of industry sectors to achieve sustainable development goals, and has wide application potential and far-reaching social significance.

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Section: Literature Review On Digital Business Operations and Decisio...mentioning

confidence: 99%

Sustainable System Development and Strategic Framework for ESGI Enterprise Transformation in Large Multi-purposes Sports Venues

Yan,

Chi

2024

Preprint

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“…The figure precisely illustrates the results of the function check, highlighting the proactive strategies employed by the AI to strengthen the system's robustness and address vulnerabilities before they become critical issues. This focus on prevention is essential, as it helps to mitigate issues before they escalate into significant system impediments [25]. Table 5 provides a detailed overview of the AI's capabilities in conducting function checks across different environments and system architectures.…”

Section: Performance Improvementmentioning

confidence: 99%

Empowering Sustainable Industrial and Service Systems through AI-Enhanced Cloud Resource Optimization

Seo,

Yoo,

Lee

2024

Sustainability

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This study focuses on examining the shift of an application system from a traditional monolithic architecture to a cloud-native microservice architecture (MSA), with a specific emphasis on the impact of this transition on resource efficiency and cost reduction. In order to evaluate whether artificial intelligence (AI) and application performance management (APM) tools can surpass traditional resource management methods in enhancing cost efficiency and operational performance, these advanced technologies are integrated. The research employs the refactor/rearchitect methodology to transition the system to a cloud-native framework, aiming to validate the enhanced capabilities of AI tools in optimizing cloud resources. The main objective of the study is to demonstrate how AI-driven strategies can facilitate more sustainable and economically efficient cloud computing environments, particularly in terms of managing and scaling resources. Moreover, the study aligns with model-based approaches that are prevalent in sustainable systems engineering by structuring cloud transformation through simulation-supported frameworks. It focuses on the synergy between endogenous AI integration within cloud management processes and the overarching goals of Industry 5.0, which emphasize sustainability and efficiency that not only benefit technological advancements but also enhance stakeholder engagement in a human-centric operational environment. This integration exemplifies how AI and cloud technology can contribute to more resilient and adaptive industrial and service systems, furthering the objectives of AI and sustainability initiatives.

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“…In recent years, the evolution of Artificial Intelligence has seen a broad development in its practical application in different fields of knowledge [1], representing a technological revolution that, although heralded by researchers in computer engineering, is still a new paradigm, and its impact and implications need to be analysed.…”

Section: Introductionmentioning

confidence: 99%

Analysing the Impact of Generative AI in Arts Education: A Cross-Disciplinary Perspective of Educators and Students in Higher Education

Sáez-Velasco,

Alaguero-Rodríguez,

Delgado-Benito

et al. 2024

Informatics

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Generative AI refers specifically to a class of Artificial Intelligence models that use existing data to create new content that reflects the underlying patterns of real-world data. This contribution presents a study that aims to show what the current perception of arts educators and students of arts education is with regard to generative Artificial Intelligence. It is a qualitative research study using focus groups as a data collection technique in order to obtain an overview of the participating subjects. The research design consists of two phases: (1) generation of illustrations from prompts by students, professionals and a generative AI tool; and (2) focus groups with students (N = 5) and educators (N = 5) of artistic education. In general, the perception of educators and students coincides in the usefulness of generative AI as a tool to support the generation of illustrations. However, they agree that the human factor cannot be replaced by generative AI. The results obtained allow us to conclude that generative AI can be used as a motivating educational strategy for arts education.

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AI-Powered Innovation in Digital Transformation: Key Pillars and Industry Impact

Cited by 10 publications

References 72 publications

Sustainable System Development and Strategic Framework for ESGI Enterprise Transformation in Large Multi-purposes Sports Venues

Sustainable System Development and Strategic Framework for ESGI Enterprise Transformation in Large Multi-purposes Sports Venues

Empowering Sustainable Industrial and Service Systems through AI-Enhanced Cloud Resource Optimization

Analysing the Impact of Generative AI in Arts Education: A Cross-Disciplinary Perspective of Educators and Students in Higher Education

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