Leveraging Machine Learning for Enhanced Decision-Making in AI-Driven Business Intelligence

Authors

  • Dr. Mala Bharathi Communication & Signal Processing and Machine Learning Based Video Analytics, Anna University, Chennai, India Author

DOI:

https://doi.org/10.63282/3050-9246.IJETCSIT-V4I2P102

Keywords:

Decision making, Business Intelligence, AI, ML, Key performance indicators

Abstract

In an era characterized by data proliferation, organizations face the challenge of transforming massive amounts of data into actionable insights. Business Intelligence (BI) systems have evolved, integrating Artificial Intelligence (AI) and Machine Learning (ML) to enhance decision-making frameworks. This paper explores the intersection of ML and BI, focusing on how organizations leverage these technologies to improve their decision-making processes. We discuss the methodologies for integrating ML algorithms into BI systems, present case studies demonstrating successful implementations, and outline the future of AI-driven BI solutions

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References

[1] Chen, J., Zhang, Y., & Liu, S. (2019). The impact of artificial intelligence on decision-making in business. Journal of Business Intelligence, 22(3), 45-60.

[2] https://intelliarts.com/blog/machine-learning-business-applications/

[3] Davenport, T. H. (2018). AI and business intelligence: What every executive needs to know. Harvard Business Review, 96(1).

[4] Wang, T., Li, Q., & Sun, Y. (2021). Synergies between machine learning and business intelligence: A review and research agenda. Journal of Strategic Information Systems, 30(2), 101-115.

Published

2023-05-06

Issue

Section

Articles

How to Cite

1.
Bharathi M. Leveraging Machine Learning for Enhanced Decision-Making in AI-Driven Business Intelligence. IJETCSIT [Internet]. 2023 May 6 [cited 2025 Sep. 12];4(2):11-7. Available from: https://ijetcsit.org/index.php/ijetcsit/article/view/72

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