Architecting Next-Generation Enterprise Systems with Agentic AI-Enabled Web Platforms and Intelligent Database-Driven Analytics

Authors

  • Ramanagiri Kumar matla

Keywords:

Next-Generation Enterprise Systems, AI, Web Platforms, Intelligent Database-Driven Analytics

Abstract

The current research delves into the architectural frameworks for the next generation of enterprise systems thatcombine agentic AI-enabled web platforms with intelligent analytics driven from data mining for databases. This study focuses on 47 enterprises across 12 industries analyzing information

References

Alves, F.; Badikyan, H.; Moreira, H.A.; Azevedo, J.; Moreira, P.M.; Romero, L.; Leitão, P. Deployment of a smart and predictive maintenance system in an industrial case study. In Proceedings of the 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE), Delft, The Netherlands, 17–19 June 2020; pp. 493–498. [Google Scholar] [CrossRef]

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Published

2025-12-20

How to Cite

Ramanagiri Kumar matla. (2025). Architecting Next-Generation Enterprise Systems with Agentic AI-Enabled Web Platforms and Intelligent Database-Driven Analytics . Journal of Computational Analysis and Applications (JoCAAA), 34(12), 1153–1168. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5077

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Section

Articles