Publication Type
Journal Article
Book Title/Conference/Journal
AI
Year
3-2024
Abstract
The fusion of quantum computing and artificial intelligence (AI) heralds a transformative era for Industry 4.0, offering unprecedented capabilities and challenges. This paper delves into the intricacies of quantum AI, its potential impact on Industry 4.0, and the necessary change management and innovation strategies for seamless integration. Drawing from theoretical insights and real-world case studies, we explore the current landscape of quantum AI, its foreseeable influence, and the implications for organizational strategy. We further expound on traditional change management tactics, emphasizing the importance of continuous learning, ecosystem collaborations, and proactive approaches. By examining successful and failed quantum AI implementations, lessons are derived to guide future endeavors. Conclusively, the paper underscores the imperative of being proactive in embracing quantum AI innovations, advocating for strategic foresight, interdisciplinary collaboration, and robust risk management. Through a comprehensive exploration, this paper aims to equip stakeholders with the knowledge and strategies to navigate the complexities of quantum AI in Industry 4.0, emphasizing its transformative potential and the necessity for preparedness and adaptability.
Keywords
artificial intelligence, business innovation, business transformation, change management, Industry 4.0, innovation strategies, quantum AI, quantum computing
Disciplines
Artificial Intelligence and Robotics | Strategic Management Policy | Technology and Innovation
Subject(s)
Applied or Integration/Application Scholarship
Publisher
MDPI
DOI
10.3390/ai5010015
Version
publishedVersion
Language
eng
Copyright Holder
Authors CC-BY
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.
Format
application/PDF
Citation
HOW, Meng Leong and CHEAH, Sin Mei.
Forging the future: Strategic approaches to quantum AI integration for industry transformation. (2024). AI. 5, (1), 290.
Available at: https://ink.library.smu.edu.sg/cmp_research/21
Additional URL
https://doi.org/10.3390/ai5010015
Included in
Artificial Intelligence and Robotics Commons, Strategic Management Policy Commons, Technology and Innovation Commons