Harnessing Generative AI for Automated Data Analytics in Business Intelligence and Decision-Making

Authors

  • Prabu Ravichandran Sr. Data Architect, Amazon Web services, Inc., Raleigh, USA Author
  • Jeshwanth Reddy Machireddy Sr. Software Developer, Kforce INC, Wisconsin, USA Author
  • Sareen Kumar Rachakatla Lead Developer, Intercontinental Exchange Holdings, Inc., Atlanta, USA Author

Keywords:

Generative AI, business intelligence, synthetic data

Abstract

Business intelligence benefits from data-driven strategy. Traditional analytics cannot handle complex markets' data. This research illustrates that generative AI automates data analytics to boost business intelligence and decision-making. High-dimensional data modeling and synthesis by generative AI changes commercial data utilization.

This study synthesizes data using generative models. Historic data biases limit data analytics' breadth and quality. AI-generated datasets improve predictive modeling and scenario analysis. Market simulations using phony data may provide strategy.

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Published

07-03-2024

How to Cite

[1]
Prabu Ravichandran, Jeshwanth Reddy Machireddy, and Sareen Kumar Rachakatla, “Harnessing Generative AI for Automated Data Analytics in Business Intelligence and Decision-Making”, Hong Kong Journal of AI and Medicine, vol. 4, no. 1, pp. 122–145, Mar. 2024, Accessed: Mar. 14, 2025. [Online]. Available: https://hkjaim.org/index.php/hkjaim/article/view/2