Artificial Intelligence in the Fashion Industry—Reality and Prospects

Author:

Konina Natalia Yu.ORCID

Publisher

Springer Nature Singapore

Reference17 articles.

1. Acharya, A., Singh, S. K., Pereira, V., & Singh, P. (2018). Big data, knowledge co-creation and decision making in fashion industry. International Journal of Information Management, 42, 90–101. https://doi.org/10.1016/j.ijinfomgt.2018.06.008

2. Babu, M. M., Akter, S., Rahman, M., Billah, M. M., & Hack-Polay, D. (2022). The role of artificial intelligence in shaping the future of Agile fashion industry. Production Planning & Control: THe Management of Operations. https://doi.org/10.1080/09537287.2022.2060858

3. Barro, S., & Davenport, T. H. (2019, June 11). People and machines: Partners in innovation. MIT Sloan Management Review, 60(4), 22–28. Retrieved from https://sloanreview.mit.edu/article/people-and-machines-partners-in-innovation/. Accessed September 28, 2022.

4. Chaudhuri, S. (2018). H&M pivots to big data to spot next big fast-fashion trends. The Wall Street Journal. Retrieved from https://www.wsj.com/articles/h-m-pivots-to-big-data-to-spot-next-big-fast-fashion-trends-1525694400. Accessed September, 28 2022.

5. Chui, M., Manyika, J., Miremadi, M., Henke, N., Chung, R., Nel, P., & Malhotra, S. (2018). Notes from the AI frontier: Applications and value of deep learning. In Discussion paper. New York, NY: McKinsey Global Institute. Retrieved from https://www.mckinsey.com/featured-insights/artificial-intelligence/notes-from-the-ai-frontier-applications-and-value-of-deep-learning. Accessed September 28, 2022.

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1. Artificial Intelligence and Machine Learning in Fashion: Reshaping Design, Production, Consumer Experience and Sustainability;2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS);2024-01-28

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