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LOKI - LLM O&M Knowledge Integrator

URN C24.0.628
Topics AI (Artificial Intelligence), Digital twin, Open Digital Architecture (ODA)

Human and generative AI innovation from human-machine division to human-machine deep collaboration

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In this catalyst, our target is to create a pattern and best practice to accumulate knowledge based on large language models to realize human-machine deep collaboration in the network O&M. In particular, we will deep dive into several O&M scenarios for example network fault diagnosis, trend analysis, report generation, etc., where engineers will only need to “ask” the large language model empowered AI Agent to complete the tasks. In the traditional O&M mode, the knowledge and expertise to solve network issues were only kept in the mind of the engineers. When an issue occurred, it required multi-rounds human interactions to research for solutions. This can no longer cope with the business requirements in the AI-driven autonomous operations era. We will focus on the following large language model empowered use cases: 1. Summarize work order information 2. Predict network faults with support of network digital twins 3. Recommend next best actions for O&M tasks 4. Recommend root causes of network faults and issues 5. Generate operation report based on intent In general, above use cases will help CSPs to greatly reduce manual repetitive tasks and improve operations efficiency and employee experience.

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Team members

Beijing ZZNode Technologies Co.,Ltd. logo
BroadTech Technology Co., Ltd logo
China Academy of Information and Communications Technology(CAICT) logo
Champion
China Mobile Communications Corporation logo
Champion
Hong Kong Telecommunications (HKT) Limited logo
Champion
Huawei Technologies Co. Ltd logo
Indosat Ooredoo Hutchison logo
Champion
MTN South Africa logo
Champion
Saudi Telecom Company logo
Champion

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