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Moscone Center
Generative AI is revolutionizing the telecommunications industry, enhancing network operations and performance monitoring through capabilities like text, image, video, and code generation, as well as intelligent search and reasoning for autonomous agents. The outcomes from real-time data analysis, anomaly detection, predictive maintenance, network planning and optimization based on physical layer measurements, when efficiently used by AI, can further aid to achieve the vision of network automation. These advancements boost efficiency and productivity in network operations. However, concerns around cost, performance, and data accessibility, as well as security, privacy, and compliance issues, complicate the deployment process.
This session invites participants to explore generative AI use cases in telecommunications and AI-enhanced performance monitoring, addressing obstacles in transitioning from proof of concept to production. We will focus on the following topics:
- Generative AI in Telecom: Applications for network operations, digital twins, capacity planning, and other use cases.
- AI-Enhanced Performance Monitoring: Real-time data analysis, anomaly detection, predictive maintenance, and network planning and optimization.
- Performance Monitoring at Physical Layer: Novel methods for performance monitoring including power profile estimation with coherent signal processing, polarization sensing, distributed sensing or combinations thereof.
- Tools & Collaboration: Open-source models, generative AI techniques (e.g. RAG), inter-vendor applications, and partnerships between vendors, operators, and AI companies.
- Data & Security: Data governance, security, privacy, and responsible AI & model evaluation.