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AI Telco Troubleshooting Challenge global launch

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    • Date
    21 November 2025
    Timeframe
    14:00 - 15:00 CET Geneva
    Duration
    60 minutes

    In collaboration with ITU, GSMA, ETSI, IEEE ETI GenAINet, and TM Forum, we are pleased to announce the organization within this workshop of the first AI challenge dedicated to fine-tuning off-the-shelf LLMs for telecom troubleshooting. The challenge will leverage the recently developed TeleLogs dataset, which contains approximately 4,000 multiple-choice questions on network troubleshooting problems. Participants may work on one or more of three exciting tasks, to get the chance to win important money prizes and present their solution at MWC Barcelona  2026. GSMA, ETSI, ITU IEEE, and TM Forum will give continuous support during the challenge, provide a platform where the participants can discuss and interact allow a smooth evaluation process of the accuracy of the submitted solutions and disseminate the competition results within their AI initiatives.

     

    Learning Objectives:

    By the end of this session, participants will be able to:

    • Identify the roles of international standardization bodies (ITU, GSMA, ETSI, IEEE, TM Forum) in fostering AI-driven telecom innovations.
    • Explain the structure and purpose of the TeleLogs dataset and its application in telecom troubleshooting.
    • Apply fine-tuning techniques on off-the-shelf Large Language Models (LLMs) to address network troubleshooting scenarios.
    • Analyze participant solutions using accuracy-based evaluation criteria defined by the organizing bodies.
    • Design a prototype or workflow demonstrating how LLMs can enhance automated fault detection and resolution in telecom networks.

     

    Recommended Mastery Level / Prerequisites:

    Recommended for participants with intermediate to advanced knowledge of AI/ML and basic understanding of telecom. Prior experience in Python programming, and using collaborative platforms such as GitHub is desirable.

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