AI-Enhanced Business Intelligence Applications for Predictive and  Prescriptive Analytics

Sree Kiran Kanchanapally

AI-Enhanced Business Intelligence Applications for Predictive and Prescriptive Analytics

Authors

Sree Kiran Kanchanapally

Keywords:

Artificial Intelligence, Business Intelligence, Predictive Analytics, Prescriptive Analytics, Ethical Implications.

Abstract

Artificial Intelligence (AI) as part of Business Intelligence (BI) has entered the era of datadriven decision-making and involves highly developed prediction and prescriptive analysis.The provided paper is an extended analysis of the AI-augmented BI systems and will show thatthe aforementioned can be instrumental in enhancing

References

1. Alam, A., & Mohanty, A. (2022). Business models, business strategies, and innovations in EdTech companies: integration of learning analytics and artificial intelligence in higher education. In 2022 IEEE 6th Conference on Information and Communication Technology (CICT) (pp. 1-6). IEEE.

Downloads

Published

2024-08-20

How to Cite

Sree Kiran Kanchanapally. (2024). AI-Enhanced Business Intelligence Applications for Predictive and Prescriptive Analytics. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 9351–9371. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5716