The evolution of iPaaS in the age of Artificial Intelligence: A scholarly article outline

This article examines the evolution of Integration Platform as a Service (iPaaS) in the context of artificial intelligence integration. Beginning with the historical development of iPaaS from basic cloud connectors to sophisticated AI-powered integration ecosystems, the article explores the theoretical foundations underpinning intelligent integration platforms and analyzes current innovations in AI-enhanced iPaaS solutions. The article shows how generative AI assistants, natural language processing capabilities, and predictive analytics are transforming integration development and management across major vendors. The article further examines the organizational impacts of these technologies, including the democratization of integration capabilities, shifting IT team responsibilities from coding to governance, and improvements in business agility. Strategic implications for enterprise architecture are considered, particularly regarding real-time data utilization for decision-making and the reconceptualization of integration as a strategic business enabler rather than merely a technical necessity. The article concludes by exploring emerging trends and future research directions, including the potential of agentic AI in integration platforms and the convergence of AI-iPaaS with hyper-automation initiatives.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.17211960
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

The evolution of iPaaS in the age of Artificial Intelligence: A scholarly article outline

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

The evolution of iPaaS in the age of Artificial Intelligence: A scholarly article outline

article en

Abstract

This article examines the evolution of Integration Platform as a Service (iPaaS) in the context of artificial intelligence integration. Beginning with the historical development of iPaaS from basic cloud connectors to sophisticated AI-powered integration ecosystems, the article explores the theoretical foundations underpinning intelligent integration platforms and analyzes current innovations in AI-enhanced iPaaS solutions. The article shows how generative AI assistants, natural language processing capabilities, and predictive analytics are transforming integration development and management across major vendors. The article further examines the organizational impacts of these technologies, including the democratization of integration capabilities, shifting IT team responsibilities from coding to governance, and improvements in business agility. Strategic implications for enterprise architecture are considered, particularly regarding real-time data utilization for decision-making and the reconceptualization of integration as a strategic business enabler rather than merely a technical necessity. The article concludes by exploring emerging trends and future research directions, including the potential of agentic AI in integration platforms and the convergence of AI-iPaaS with hyper-automation initiatives.

Zenodo (CERN European Organization for Nuclear Research)
Eaton (Taiwan) (TW), Eaton (United States) (US)
Openalex Percentile: Top 26%
Geochemistry and Geologic Mapping
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