AI-Powered Business Intelligence: Enterprise Strategic Transformation and Practical Paths

Xiran Li

2025

Abstract

In the context of accelerated digital transformation, modern enterprises are facing the challenge of a surge in data volume, which significantly increases the complexity of using data for decision support. Traditional Business Intelligence (BI) tools struggle to handle vast and complex data, gradually failing to meet the current demands of enterprises for real-time, efficient, and intelligent analysis. The integration of Artificial Intelligence (AI) technology is driving the transformation and upgrading of BI systems and is a key factor in helping enterprises solve current dilemmas and achieve digital transformation. This paper focuses on the actual impact of AI-Powered Business Intelligence (AI-BI) on enterprise strategy formulation, performance improvement, risk management and competitive advantage. This paper employs methods such as literature review, industry report analysis, and representative enterprise case studies to explore how AI-BI systems help enterprises optimize decision-making processes, enhance operational efficiency, and improve market responsiveness. Meanwhile, it comprehensively investigates their practical value across various application scenarios. The research results indicate that AI-Powered system not only enhance the speed and accuracy of data processing but also help enterprises proactively discover opportunities and identify potential risks, which is a key tool for enterprises to achieve strategic leadership in the fierce market competition.

Paper Citation

in Harvard Style

Li X. (2025). AI-Powered Business Intelligence: Enterprise Strategic Transformation and Practical Paths. In Proceedings of the 2nd International Conference on E-commerce and Modern Logistics - Volume 1: ICEML; ISBN 978-989-758-775-7, SciTePress, pages 593-598. DOI: 10.5220/0013850200004719

in Bibtex Style

@conference{iceml25,
author={Xiran Li},
title={AI-Powered Business Intelligence: Enterprise Strategic Transformation and Practical Paths},
booktitle={Proceedings of the 2nd International Conference on E-commerce and Modern Logistics - Volume 1: ICEML},
year={2025},
pages={593-598},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013850200004719},
isbn={978-989-758-775-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on E-commerce and Modern Logistics - Volume 1: ICEML
TI - AI-Powered Business Intelligence: Enterprise Strategic Transformation and Practical Paths
SN - 978-989-758-775-7
AU - Li X.
PY - 2025
SP - 593
EP - 598
DO - 10.5220/0013850200004719
PB - SciTePress