Artificial Intelligence and Big Data Dual-Engine Approach to Value Creation in Intelligent Enterprise Portals

DOI

10.2991/978-94-6463-968-1_6How to use a DOI?

Keywords

Artificial Intelligence (AI); Big Data; Enterprise Intelligent Portal; Digital Transformation; Value Creation

Abstract

Against the backdrop of rapid digital economic development, enterprise digital transformation has emerged as a key driver of enhanced core competitiveness. However, continuous challenges such as “data silos,” fragmented workflows, and disjointed management perspectives in traditional information technology architectures significantly prevent operational efficiency and cross-departmental collaboration. This paper discusses the value-creation pathway of building an intelligent enterprise portal driven by the dual engines of artificial intelligence and big data. By integrating systems such as Customer Relationship Management and Enterprise Resource Planning, the portal enables seamless data flow and process coordination. And it also addresses inefficiencies in cross-functional operations and data barriers. On the one hand, artificial intelligence allows intelligent analytics and forecasting. Besides, big data supports comprehensive data integration and in-depth mining. Together, they improve the transition from a “function-oriented” to an “intelligence-oriented” enterprise model. Using a case study of a foreign trade company, the paper elaborates on Porta-L’s applications in customer management, sales process optimization, and resource allocation. And it highlights its comprehensive value in fostering organizational coordination, improving decision-making precision, and strengthening corporate competitiveness. The study provides a practical framework for digital transformation, emphasizing the critical role of artificial intelligence and big data in building an efficient, intelligent, and integrated digital service ecosystem. This study focuses on the foreign trade enterprise, and the applicability of its conclusions to other sectors remains to be verified. Additionally, it falls short in addressing practical issues such as organizational readiness for technology implementation and the barriers to adoption for small and medium-sized enterprises.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yiting Zhao
AU  - Mingding Zhou
PY  - 2025
DA  - 2025/12/28
TI  - Artificial Intelligence and Big Data Dual-Engine Approach to Value Creation in Intelligent Enterprise Portals
BT  - Proceedings of the 13th International Conference on Business, Accounting, Finance and Economics (BAFE 2025)
PB  - Atlantis Press
SP  - 53
EP  - 71
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-968-1_6
DO  - 10.2991/978-94-6463-968-1_6
ID  - Zhao2025
ER  -