Aug 2026· International Conference on Information Security and Cryptology· pp. 1671-1677· 0 citations· 14 references
Abstract
The fast interwoven of the world of artificial intelligence (AI) and cloud computing changes the manner in which the business ecology is created, grown, and maintained. This article discusses a Abstract- The rapid integration of artificial intelligence (AI) and cloud computing is transforming how enterprise ecosystems are created, scaled, and sustained. This paper presents an AI-integrated cloud enterprise platform designed to support entrepreneurship and innovation through intelligent automation, scalable digital infrastructure, data-driven decision-making, and adaptive service orchestration. The proposed framework combines cloud-native architecture with AI services such as predictive analytics, recommendation systems, adaptive resource management, and decision intelligence to improve operational agility and innovation support. Unlike traditional enterprise systems, the platform provides real-time guidance, dynamic workflow adaptation, personalized support for entrepreneurs, and seamless integration with third-party tools and APIs. The framework also supports rapid prototyping, experimentation, collaboration, and market responsiveness within entrepreneurial ecosystems. Key architectural aspects such as multi-tenant cloud environments, security, privacy, scalability, interoperability, and governance are also discussed. The proposed work contributes a unified and adaptive platform that integrates decision intelligence, service orchestration, and innovation enablement within a single scalable architecture.
The study concludes that cloud-based AI automation models represent a fundamental technological framework for enabling intelligent digital transformation, empowering organizations to achieve long-term operational excellence, competitive resilience, and sustainable business growth within an increasingly interconnected a...
Shi-Hu Gan· International journal of com...· 0 citations
With the advent of new LLM technology, enterprise AI capabilities, such as LLM-based foundations, RAG and enterprise AIGC, offer new growth opportunities. Cloud-Native AI Orchestration makes these technology foundations well into the enterprise ecosystem. By integrating these capabilities into the enterprise AI Orchest...
Olivia Bennett· International Journal of Int...· 0 citations
The rapid evolution of Property Technology (PropTech) has transformed enterprise real estate software from isolated operational applications into intelligent digital ecosystems that integrate cloud computing, artificial intelligence, enterprise software, and large-scale data platforms. Traditional property management s...
D. Tuncay· International Journal of Res...· 0 citations
Manufacturing sectors and ecosystems can improve their innovation performance through digital platforms, connected intelligence, and organisational settings that enable collaboration among experts and ecosystem members. The convergence of skills and capabilities distributed across humans, organisations, communities, an...
Research on technological infrastructures supporting open innovation ecosystems is evolving toward data-centric paradigms enabled by Artificial Intelligence (AI). Nevertheless, key limitations concern the continued reliance on syntactic rule-based search for matching corporate initiatives with innovative solutions and...
Corrado Fasciano, F. Gramegna, F. Scioscia et al.· Information· 0 citations
The foundations of DevOps enable rapid software development and deployment by a variety of organizations. Continuous integration, continuous delivery, infrastructure as code, and configuration as code are now mature concepts. However, DevOps techniques remain largely unexplored in the context of cloud-native financial...
Emily A. Carter· International Journal of Mod...· 0 citations
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