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    Home » O2 Telefonica Germany adopts AI for network operations
    IT Infrastructure

    O2 Telefonica Germany adopts AI for network operations

    By Ashley TangSeptember 1, 2025No Comments2 Mins Read
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    • O2 Telefonica Germany will roll out the Large Telco Model (LTM) with Tech Mahindra and Nvidia
    • AI system will help engineers detect disruptions faster and coordinate repairs more effectively

    What happened: AI model set to modernise O2 Telefonica’s network operations

    O2 Telefonica Germany will deploy an Artificial Intelligence platform created with Tech Mahindra and Nvidia to improve its mobile network operations.

    The Large Telco Model (LTM) debuted at Nvidia’s GTC conference in March 2025. Trained on large telecoms datasets with Nvidia’s AI Enterprise suite, NeMo framework and NIM microservices, the system uses machine learning to recognise patterns and predict failures.

    With the new model, engineers can detect network problems sooner and act before customers feel the impact. The project is part of Telefonica’s “Operations of the Future” programme, which modernises network, IT and customer service systems. It also includes tools for automated root-cause analysis, field dispatch optimisation and end-to-end service monitoring.

    Mircea Anghel, director of service operations at O2 Telefonica Germany, said telco-specific generative AI will “fundamentally transform the way we operate”. He explained that the company wants to move beyond automation towards predictive, data-driven decision-making.

    Also read: VMO2, Daisy in $1.75B B2B deal
    Also read: VMO2 claims customer service is improving amid mixed results

    Why it’s important

    The shift highlights the telecom industry’s drive towards autonomous networks. These systems allow AI to handle routine monitoring, fault detection and troubleshooting, which frees up staff to focus on higher-value tasks.

    Amol Phadke, chief transformation officer at Tech Mahindra, stressed that autonomous operations are becoming a strategic priority for providers under pressure to improve efficiency. Similarly, Chris Penrose, Nvidia’s global vice president for telecoms, called fully autonomous networks a “critical building block” for AI-native telcos seeking “extreme operational efficiency”.

    As mobile data demand rises across Europe, operators need networks that can adapt in real time. By using AI models such as the LTM, O2 Telefonica Germany can spot risks early, act faster and keep services stable. In practice, this means fewer disruptions for customers and lower operating costs for the company.

    AI Network Operations
    Ashley Tang

    Ashley is a community engagement specialist at BTW Media, having studied Global Journalism at the University of Sheffield. Contact her at a.tang@btw.media.

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