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The integration of AI and FTTx not only comprehensively enhances network efficiency and service quality but also reduces manual operational costs through network self-healing and automated management, thereby improving user satisfaction. More importantly, this convergence drives continuous innovation in fiber access technology, fosters new services such as smart homes, high-definition video, and virtual reality, creates new business models and value, and helps operators enhance their overall competitiveness.
The future integration of AI and FTTx is set to develop in three key directions:
1. Deep Collaboration with Intelligent Terminals
AI technology will promote the integrated convergence of fiber access and intelligent terminals, building a synergistic system of "intelligent terminals + network." Devices such as smart TVs, smart watches, and IoT equipment will interact more closely with fiber networks, enabling more efficient data sharing and more precise service delivery.
2. Deepened Cloud-Edge-Device Computing Power Collaboration
The fusion of OLT edge computing and AI will become increasingly tighter. Deploying AI algorithms and models on OLT edge nodes closer to the user side can further reduce data transmission latency, improve real-time response capabilities, and better support application scenarios with extremely high real-time requirements, such as autonomous driving and industrial control.
3. Accelerated Technology Integration and Innovation
Diverse demands from industry applications will drive the deep integration of edge computing with hardware, cloud computing, AI, and other technologies. For instance, integrated software-hardware edge infrastructure adopts highly integrated architectures to meet diverse computing power needs at the edge. Service models like "centralized training, edge inference" are being implemented, combined with innovations in lightweight large models at the edge. This approach reduces inference latency and costs while further enhancing data security.
In the future, AI will become an inherent and core capability of optical networks, extending its intelligence to network elements and multi-layer network control, leading FTTx networks towards even more profound transformation.
