The Essence of Generative AI and Its Impact on Enterprise Digital Transformation: A Case of Generative AI in BMW

Yijun Qiu

2024

Abstract

Generative Artificial Intelligence (AI) technology, a significant breakthrough in deep learning, realizes the autonomous generation of content such as text, images, and music by simulating human creativity. Rooted in deep learning algorithms, this technology learns complex patterns from massive data to create unprecedented content, breaking traditional computers’ limitations in content creation. Generative AI boasts high autonomy, content diversity, novelty, and efficient generation capabilities. It is widely applied in enterprise digital transformation, significantly enhancing content production efficiency, optimizing business processes, reducing operational costs, and enhancing market competitiveness. It is valuable in natural language processing, image design, customer service, and data mining. However, with its widespread application, data security, privacy protection, and intellectual property risks must be addressed. To promote the healthy development of generative AI technology, enterprises should establish technical and ethical norms and regulatory constraints. In conclusion, generative AI technology holds immense potential in enterprise digital transformation and is poised to lead future business model innovation and development.

Paper Citation

in Harvard Style

Qiu Y. (2024). The Essence of Generative AI and Its Impact on Enterprise Digital Transformation: A Case of Generative AI in BMW. In Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management - Volume 1: MLSCM; ISBN 978-989-758-738-2, SciTePress, pages 43-47. DOI: 10.5220/0013231000004558

in Bibtex Style

@conference{mlscm24,
author={Yijun Qiu},
title={The Essence of Generative AI and Its Impact on Enterprise Digital Transformation: A Case of Generative AI in BMW},
booktitle={Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management - Volume 1: MLSCM},
year={2024},
pages={43-47},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013231000004558},
isbn={978-989-758-738-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management - Volume 1: MLSCM
TI - The Essence of Generative AI and Its Impact on Enterprise Digital Transformation: A Case of Generative AI in BMW
SN - 978-989-758-738-2
AU - Qiu Y.
PY - 2024
SP - 43
EP - 47
DO - 10.5220/0013231000004558
PB - SciTePress