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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM50264
Volume:
9 |
6 |
Jun 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
As the global economy becomes increasingly data-driven, organizations are integrating Artificial Intelligence (AI) and Machine Learning (ML) into Business Intelligence (BI) systems to gain real-time, actionable insights. This paper investigates the transformative role of AI and ML in modern BI by analyzing current industry practices, challenges, and future trajectories. Using a mixed-methods approach, including a survey of 100 professionals and interviews with BI experts, the study reveals that AI significantly enhances decision-making, forecasting, and operational efficiency. However, it also uncovers pressing concerns such as data privacy, algorithmic bias, and skill gaps. The findings offer strategic recommendations to help organizations adopt ethical and effective AI-powered BI solutions.
KEYWORDS
Publication Date
6/12/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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