AI/ML Challenge Finale: Fault Impact Analysis for 5G using AI/ML

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  • Date
    5 October 2023
    Timeframe
    14:00 - 15:30 CEST Geneva
    Duration
    90 minutes

      The ITU AI/ML in 5G Challenge in 2023 (Fourth edition) offers a platform for collaboratively addressing the problems in applying AI/ML in communication networks including 5G & 6G. The Challenge connects participants (students and professionals) from more than 100 countries, with industry and academia solving real-world problems using AI/ML in communication networks. The challenge is offering 12 problem statement in 2023 one of which is titled Fault Impact Analysis for 5G using AI/ML. 

       

      This challenge is targeting at leveraging ML/AI to predict the impact of faults on network KPIs. A dataset from a real commercial network will be provided and discussed. This is a critical capability for the autonomy of next-generation communications systems. It will empower the state-of-the-art fault management to upgrade from fixing network devices to fixing network service quality, and eventually drive network O&M transformation from equipment-centric to service-centric. 

       

      This webinar will cover presentation from best teams of this competition and winners will be announced at the end of the session to recognize their outstanding performance.   

       

      Cash Prizes: The ITU AI/ML in 5G Challenge has set up prize pools of different sizes to reward outstanding teams totaling to 8,000 CHF. 

       

      The Winners are as follows;

      1. Krishna Priya – Winner (1st place) Prize: 4’000 CHF
      2. Yisak Birhanu Bule Runner-up (2nd place) Prize: 2’000 CHF
      3. Julius Mwangi Third place (3rd place) Prize: 1’000 CHF
      4. Chibuzo Emelike Fourth place (4th place) Prize: 500 CHF
      5. Adetomiwa Adedeji Fifth place (5th place) Prize: 500 CHF

       

      More information can be found on Zindi challenge page:  https://zindi.africa/competitions/fault-impact-analysis-towards-service-oriented-network-operation-maintenance

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