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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM50264

Enhancing Business Intelligence with AI and Machine Learning: Trends and Future Directions

Stream/Area:

-

Subject:

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Paper ID:

IJSREM50264

Volume:

9 |

6 |

Jun 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem50264

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.

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Authors

RT

Ritik Tripathi

SbDSS

Supervised by Dr. Shaivya Shingh

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Abstract

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.

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Ritik Tripathi, Supervised by Dr. Shaivya Shingh, "Enhancing Business Intelligence with AI and Machine Learning: Trends and Future Directions," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 6, Jun 2025. https://doi.org/10.55041/ijsrem50264

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6/12/2025

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