Year: 2025
Type: article
Abstract: This article presents a comprehensive comparative analysis of AI-powered Integration Platform as a Service (iPaaS) solutions transforming enterprise integration landscapes. As organizations navigate increasingly complex digital ecosystems, these platforms leverage artificial intelligence to address traditional integration challenges through automated data mapping, intelligent error handling, predictive analytics, and natural language processing capabilities. The article examines leading market solutions, evaluating their distinctive strengths and limitations. Through a detailed financial services case study, the article demonstrates how organizations balance technical capabilities with business priorities when selecting integration platforms. Implementation considerations spanning organizational readiness, technical infrastructure, and strategic alignment are explored, highlighting critical success factors beyond technical functionality. It concludes by examining emerging trends that will shape future integration platforms, including autonomous integration capabilities, edge intelligence, and embedded business analytics, providing valuable insights for organizations seeking to leverage AI-enhanced integration to drive digital transformation.
Author: Tejaswi Bharadwaj Katta
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409653668