Transforming Business Intelligence Through Artificial  Intelligence and Machine Learning

Swetha Chinta,Rasik Borkar, Phani Chilakapati, Guruprasad Selvarajan

Transforming Business Intelligence Through Artificial Intelligence and Machine Learning

Authors

Swetha Chinta,Rasik Borkar, Phani Chilakapati, Guruprasad Selvarajan

Keywords:

Business Intelligence, Artificial Intelligence, Machine Learning, Predictive Analytics, Anomaly Detection, Data-Driven Decision-Making

Abstract

The integration of AI and ML is revolutionising BI by automating data analysis, improving predictive abilities, and uncovering valuable insights. This study examines the transformative capabilities of AI and ML in contemporary BI systems, emphasizing their function in
optimizing decision-making processes

References

Kilanko, V. (2022). Turning Point: Policymaking in the Era of Artificial Intelligence, by Darrell M. West and John R. Allen, Washington, DC: Brookings Institution Press, 2020, 297 pp., hardcover 24.99, paperback 19.99.

Kilanko, V. The Transformative Potential of Artificial Intelligence in Medical Billing: A Global Perspective.

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Published

2024-11-12

How to Cite

Swetha Chinta,Rasik Borkar, Phani Chilakapati, Guruprasad Selvarajan. (2024). Transforming Business Intelligence Through Artificial Intelligence and Machine Learning . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 2246–2262. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/2074