IJBTT

Enhancing Enterprise Application Integration through Artificial Intelligence and Machine Learning
	© 2023 by IJCTT Journal
	Volume-71 Issue-2
	Year of Publication : 2023
	Authors : Pradeep Kumar Dhoopati
	DOI :  10.14445/22312803/IJCTT-V71I2P109

How to Cite?

Pradeep Kumar Dhoopati, "Enhancing Enterprise Application Integration through Artificial Intelligence and Machine Learning," International Journal of Computer Trends and Technology, vol. 71, no. 2, pp. 54-60, 2023. Crossref, https://doi.org/10.14445/22312803/IJCTT-V71I2P109

Abstract
Enterprise Application Integration (EAI) is a critical requirement for organizations to achieve seamless data flow, business process automation, and real-time communication between different applications and systems. In recent years, Artificial Intelligence (AI) and Machine Learning (ML) technologies have gained significant attention for their potential to enhance EAI capabilities. This paper provides an overview of the ways in which AI and ML can be used to enhance EAI, including data mapping and transformation, data validation, event-driven processing, natural language processing, predictive analytics, and intelligent decision-making. We also discuss the benefits of incorporating AI and ML into EAI, such as increased efficiency, improved data quality, and enhanced decision-making capabilities. Finally, we highlight some of the challenges and limitations associated with using AI and ML in EAI and provide recommendations for organizations looking to implement these technologies in their EAI strategies.

Keywords
Artificial Intelligence, Data quality, Enterprise Application Integration, Machine Learning, Predictive analytics.

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