01 Jan 0001
00:00 - 00:00
Artificial Intelligence (AI) is poised to rapidly transform the telecommunications sector. This workshop will explore the added value and challenges of AI for telecom operators across key domains and across the lifecycle of the network. Examples of use cases to be discussed include AI-assisted network planning and modeling, as well as AI-assisted optical network control and management via real-time anomaly detection, automated troubleshooting, and enhanced predictive maintenance. AI can also enable dynamic resource allocation and can facilitate the rollout of complex technologies, enabling efficient, cost-effective, and resilient network deployment and operation. The workshop will include speakers from network operators, system integrators, and academia who will share their insights into using Generative AI, LLMs, AI agents, and even AGI in current and future use cases for AI in optical networks, along with the challenges of deploying AI.
The key questions to address in this workshop are:
- What are the near-term and long-term use cases for AI in optical networks?
- To what extent and in what dimensions can AI create value for network operators?
- What roles will LLMs, GenAI, and Agents play in optical networks?
- Are AI technologies ready for deployment in optical networks?
- What limitations does AI face in optical networks?
- What risks are associated with using AI in optical networks?
- How can issues related to the reliability and generalizability of AI in optical networks be addressed?
- How should vendors and operators collaborate to develop and deploy AI for optical networks?
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Lynn Nelson
AT&T, USA
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Yanni Ou
Beijing University of Posts & Telecom, China
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Qunbi Zhuge
Shanghai Jiao Tong University, China