Generative AI-Driven Product Design: A Data-Driven Framework for Cloud-Native Platform Development in EV and Automation Ecosystems
Keywords:
Generative AI, Product Design, Cloud-Native Platforms, Large Language Models (LLMs), Generative Adversarial Networks (GANs), Diffusion Models, EVAbstract
The rapid evolution of digital platforms necessitates agile, intelligent, and scalable productdesign methodologies, particularly within cloud-native environments for EV. This studyproposes a Generative AI-driven, data-centric framework for optimizing product design workflows through the integration of advanced AI models
References
Ahmed, M. A., Al-Qaysi, Z. T., Albahri, A. S., Alqaysi, M. E., Kou, G., Albahri, O. S., ... & Alotaibi, F. S. (2023). Intelligent decision-making framework for evaluating and benchmarking hybridized multi-deep transfer learning models: managing COVID-19 and beyond. International Journal of Information Technology & Decision Making, 2350046
Downloads
Published
2023-04-15
How to Cite
Shrikant Chopade , Sohag Maitra , Neha Boloor. (2023). Generative AI-Driven Product Design: A Data-Driven Framework for Cloud-Native Platform Development in EV and Automation Ecosystems . Journal of Computational Analysis and Applications (JoCAAA), 31(4), 2156–2170. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2883
Issue
Section
Articles
