Cognitive Enterprise Architecture: Integrating Agentic AI and Cloud Intelligence into Modern Business Ecosystems

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Published: 2025-12-17
DOI: https://doi.org/10.15662/IJRPETM.2025.0806041
Keywords:
Cognitive Enterprise Architecture, Agentic AI, Cloud Intelligence, Enterprise Architecture, Artificial Intelligence, Intelligent Agents, Cloud Computing, Autonomous Systems, Business Ecosystems, Machine Learning, Digital Transformation, Intelligent Automation, Cloud-Native Architecture, Enterprise Intelligence, Predictive Analytics

Main Article Content

Dr Somasundaram Krishnan
Professor, Department of Computer Science and Engineering, Sri Muthukumaran Institute of Technology, Chennai, India

Abstract

The rapid advancement of artificial intelligence (AI), cloud computing, and intelligent automation has transformed enterprise operations, creating new opportunities for innovation, efficiency, and strategic decision-making. Cognitive Enterprise Architecture (CEA) represents an emerging paradigm that integrates agentic AI systems and cloud intelligence into organizational frameworks to support adaptive, autonomous, and data-driven business ecosystems. Unlike traditional enterprise architectures that primarily focus on process integration and information management, cognitive architectures incorporate intelligent agents capable of reasoning, learning, planning, and executing actions independently. These capabilities enable enterprises to respond dynamically to environmental changes, optimize operational workflows, and enhance organizational agility. Cloud intelligence provides scalable computational resources, real-time analytics, distributed processing, and seamless integration across enterprise functions. This research explores the development and implementation of cognitive enterprise architectures that combine agentic AI with cloud-native technologies to create intelligent business ecosystems. The study examines architectural components, governance models, technological enablers, and implementation strategies supporting cognitive transformation. Additionally, it investigates the role of machine learning, autonomous agents, predictive analytics, and cloud orchestration in facilitating enterprise-wide intelligence. The findings suggest that cognitive enterprise architectures significantly improve operational efficiency, decision quality, scalability, and innovation capabilities while enabling organizations to navigate increasingly complex digital environments. The research concludes that integrating agentic AI and cloud intelligence will be fundamental to the evolution of future intelligent enterprises.

Article Details

Issue

Vol. 8 No. 6 (2025): International Journal of Research Publications in Engineering, Technology and Management

Section

Articles

How to Cite

Cognitive Enterprise Architecture: Integrating Agentic AI and Cloud Intelligence into Modern Business Ecosystems. (2025). International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 8(6), 13377-13386. https://doi.org/10.15662/IJRPETM.2025.0806041

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