Neural Network Orchestration in Distributed Service Ecosystems: A Paradigm Shift in Operational Intelligence
Keywords:
Neural Network Orchestration, Distributed Service Ecosystems, Operational Intelligence, Edge Computing, Federated Learning, Multi-Agent Systems, AI Mesh, 6G NetworksAbstract
The proliferation of distributed service ecosystems, encompassing edge computing, Internet of Things (IoT), and 6G networks, necessitates advanced orchestration of neural networks to enhance operational intelligence. This paper explores the evolution of neural network orchestration within these ecosystems, highlighting the transition from centralized AI models to distributed, orchestrated intelligence frameworks. Key methodologies such as federated learning, multi-agent systems, and edge intelligence are examined, emphasizing their roles in achieving scalability, resilience, and real-time decision-making. By analyzing recent advancements and challenges, this study provides insights into the paradigm shift towards integrated, adaptive AI systems that align with human-centric workflows and dynamic service requirements.
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