Scalable Artificial Intelligence Architectures for Cloud Computing Business Process Optimization and Intelligent Healthcare Systems
Keywords:
Scalable AI, Cloud Computing, Business Process Optimization, Intelligent Healthcare, AI Architectures, Distributed Systems, Healthcare Automation, Real-time Analytics, AI Scalability, Edge ComputingAbstract
This paper explores the integration of scalable Artificial Intelligence (AI) architectures within cloud computing environments to optimize business processes and enhance intelligent healthcare systems. Cloud-AI convergence enables real-time decision-making, resource optimization, and predictive analytics, significantly improving organizational efficiency. We investigate architectural frameworks, implementation models, and the impact of AI-driven cloud strategies in dynamic and sensitive domains such as healthcare. The study further examines existing literature, identifying critical trends and solutions adopted in scalable AI-cloud systems.
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