AI-POWERED ENTERPRISE INTEGRATION PLATFORM FOR MULTI-CLOUD ENVIRONMENTS
DOI:
https://doi.org/10.34218/IJCET_16_01_164Keywords:
Enterprise Integration Platform, Multi-cloud Computing, Artificial Intelligence, Machine Learning Automation, Cloud ArchitectureAbstract
This article presents a comprehensive analysis of an AI-powered enterprise integration platform designed for multi-cloud environments, addressing the growing complexity of system integration in modern enterprises. The platform leverages advanced machine learning algorithms to automate and optimize cross-cloud integrations while providing intelligent insights for operational efficiency. This article examines the architectural framework that enables seamless integration across disparate systems, explores the implementation of predictive analytics for proactive problem resolution, and discusses the platform's ability to adapt to evolving cloud landscapes. This article demonstrates how artificial intelligence transforms traditional integration approaches by introducing self-learning capabilities, automated workflow optimization, and intelligent data routing across multi-cloud environments. It indicates significant improvements in operational efficiency, cost reduction, and innovation acceleration when implementing this AI-driven integration solution. This article contributes to the growing body of knowledge in enterprise architecture and cloud computing, offering valuable insights for organizations navigating the complexities of multi-cloud integration.
References
Dave McCarthy, "Accelerating Enterprise Cloud Adoption," Oracle Cloud Infrastructure Technical Report, Feb. 2024. [Online]. Available: https://www.oracle.com/a/ocom/docs/cloud/accelerating-enterprise-cloud-adoption.pdf
Prashant Nadagoud, "The Evolution of Enterprise Integration: From ESBs to iPaaS," International Journal of Management, IT & Engineering, vol. 15, no. 2, Feb. 2025. [Online]. Available: https://www.ijmra.us/project%20doc/2025/IJME_FEBRUARY2025/IJMIE1Feb25_33443.pdf
Karwan Jameel Merseedi et al., "Cloud Architectures for Distributed Multi-Cloud Computing: A Review of Hybrid and Federated Cloud Environment," ResearchGate Technical Publication, vol. 13, no. 2, April 2024. [Online]. Available: https://www.researchgate.net/publication/380576736_Cloud_Architectures_for_Distributed_Multi-Cloud_Computing_A_Review_of_Hybrid_and_Federated_Cloud_Environment
Pouyan Kamalzadeh, "The Potential of AI Tools to Enhance Building Performance by Focusing on Thermal Comfort Optimization," Politecnico Technical Report, Milano, 2024. [Online]. Available: https://www.politesi.polimi.it/retrieve/4c6779ce-cba5-44b5-93be-f8a73b8d9c9b/TESINA_Pouyan%20Kamalzadeh.pdf
Sushil Prabhu Prabhakaran, "Integration Patterns in Unified AI and Cloud Platforms: A Systematic Review of Process Automation Technologies," ResearchGate Technical Publication, vol. 10, no. 6, Dec. 2024. [Online]. Available: https://www.researchgate.net/publication/387343271_Integration_Patterns_in_Unified_AI_and_Cloud_Platforms_A_Systematic_Review_of_Process_Automation_Technologies
Dr. J. Ramya et al., "AI and Machine Learning in Predictive Analytics: Revolutionizing Business Strategies through Big Data Insights," Scopus Link, vol. 44, no. 3, 31 July 2024. [Online]. Available: https://bpasjournals.com/library-science/index.php/journal/article/view/2296
Rohini Isarapu and Sharathchandra Gowda, "Real-Time Analytics in the Cloud: Innovations in Stream Processing," International Journal for Multidisciplinary Research (IJFMR), vol. 6, no. 6, Dec. 2024. [Online]. Available: https://ijfmr.com/papers/2024/6/34276.pdf
Lee Calcote, "Enterprise Path to Service Mesh Architectures," F5 Networks Technical Report, Nov. 2020. [Online]. Available: https://www.f5.com/content/dam/f5/corp/global/pdf/report/Enterprise_Path_to_Service_Mesh_Architectures.pdf
Mohamed Ali Trabelsi, "The impact of artificial intelligence on economic development," Journal of Electronic Business & Digital Economics, 6 June 2024. [Online]. Available: https://www.emerald.com/insight/content/doi/10.1108/jebde-10-2023-0022/full/html
Quadrant, "SPARK Matrix Analysis: Enterprise Integration Platform as a Service," Quadrant Knowledge Solutions Technical Report, Nov. 2023. [Online]. Available: https://www.softwareag.com/content/dam/softwareag/global/marketing-material/en/analyst-reports/webmethods/EiPaaS_SPARK_Matrix_2023_Quadrant_Knowledge_Solutions.pdf
Abhay Bapna and Abhish Kulkarni, "Future of Enterprise Integration," CIO & Leader Enterprise Research Report, 2021. [Online]. Available: https://www.cioandleader.com/wp-content/uploads/2024/01/Future-of-Enterprise-Book-1.pdf
Sukhpal Singh Gill, "AI for next generation computing: Emerging trends and future directions," Internet of Things, vol. 19, Aug. 2022. [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S254266052200018X
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Copyright (c) 2025 Krishna Kanth Kothapally (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
