Architecting the Intelligent Business Function through AI-Driven Data Engineering

Authors

  • Rahul Chawla, Puneet Thakkar, Deep patel

Keywords:

Artificial Intelligence, Data Engineering, Intelligent Business Functions, Ensemble Learning, Feature Engineering, Real-Time Processing Architecture

Abstract

The combination of artificial intelligence and data engineering evolve and unite business operational functionssilos into intelligent self-optimizing systems. With data engineering, this research analyzes the frameworks thatincorporate AI into business functions that help in improving the operational efficiency and decision making of the business functions

References

Golightly, L.; Chang, V.; Xu, Q.A.; Gao, X.; Liu, B.S.C. Adoption of cloud computing as innovation in the organization. Int. J. Eng. Bus. Manag. 2022, 14, 1–17.

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Published

2022-02-15

How to Cite

Rahul Chawla, Puneet Thakkar, Deep patel. (2022). Architecting the Intelligent Business Function through AI-Driven Data Engineering. Journal of Computational Analysis and Applications (JoCAAA), 30(2), 549–557. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4213

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Section

Articles