Next-Generation Intelligent Enterprise Architecture for Generative AI Secure Cloud Computing and Business Optimization
DOI:
https://doi.org/10.15662/IJEETR.2026.0803009Keywords:
Generative AI, Enterprise Architecture, Secure Cloud Computing, Digital Transformation, Intelligent Systems, Business Optimization, Cloud Security, AI Governance, Data-driven Decision Making, Autonomous SystemsAbstract
The rapid evolution of artificial intelligence, particularly generative AI models, has fundamentally reshaped the design and operational paradigms of enterprise architecture. Organizations are transitioning from traditional centralized IT infrastructures to next-generation intelligent enterprise architectures that integrate generative AI, secure cloud computing, and advanced business optimization frameworks. These architectures are designed to enable autonomous decision-making, predictive intelligence, adaptive workflows, and scalable digital ecosystems that respond dynamically to complex business environments. Generative AI systems, including large language models and multimodal foundation models, are now embedded within enterprise platforms to automate knowledge work, enhance customer engagement, optimize supply chains, and improve strategic forecasting. However, their integration introduces significant challenges in terms of data security, model governance, regulatory compliance, latency management, and ethical deployment. Secure cloud computing serves as the backbone of this transformation, offering elastic infrastructure, distributed processing capabilities, and integrated cybersecurity frameworks that ensure resilience and confidentiality. The convergence of generative AI and secure cloud ecosystems enables enterprises to move toward self-optimizing digital infrastructures where data, intelligence, and operations are continuously synchronized. Business optimization in this context is no longer limited to static analytical dashboards but evolves into real-time, AI-driven decision intelligence systems that continuously refine business processes. This essay explores the conceptual and methodological foundations of next-generation intelligent enterprise architecture, emphasizing the synergy between generative AI, secure cloud computing, and enterprise optimization strategies.
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