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Telecom

  • Telco-as-a-Platform: operators step into the platform economy at MWC25

    MWC25 confirmed the strategic shift of telecom operators toward the Telco-as-a-Platform (TaaP) model. Through open, interoperable, and non-proprietary APIs, networks are becoming programmable platforms capable of monetizing differentiated services such as latency control, geolocation, security, and QoS. Spearheaded by the GSMA Open Gateway initiative (40+ operators across 30+ countries), this approach signals a move toward…

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  • The generative AI boom,growth, new players, and cyberattacks

    Generative AI is experiencing explosive growth, driven by major players like OpenAI and emerging competitors. According to a recent Cloudflare analysis, traffic to generative AI services has surged by 251% in one year, reflecting widespread global adoption. This surge is not limited to AI platforms alone—mobile operators are also feeling the impact, facing skyrocketing network…

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  • Telecoms: energy at the heart of competitiveness

    Eco-efficiency is not just about environmental responsibility. It is also a major economic issue. Operators who anticipate these changes and invest in sustainable solutions will gain a clear competitive advantage. Ericsson has called for urgent action to strengthen Europe’s digital competitiveness. This commitment includes promoting sustainable and energy-efficient technologies for network infrastructures. The year 2024…

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  • On-Device Inference: A key driver of AI innovation

    The Mobile World Congress in Barcelona is approaching, and I’ll be there all week with numerous meetings. Key topics this year include #Sustainability & ESG, 5G Advanced, RedCap, AI & Telecoms, Edge Computing & Cloud AI, OpenRAN, and Network APIs. One particularly impactful topic, closely tied to AI in our phones and telecom infrastructure, will…

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  • AI, the new asset for Telecoms: Rakuten Mobile leading the race

    Artificial intelligence: The future of telecommunications The TM Forum Tour Japan in Tokyo was the stage for discussions on artificial intelligence in telecommunications, covering network automation, edge computing, and the evolution of LLMs. Key industry participants, including major vendors and partner organizations, explored the challenges and opportunities surrounding this technology. Rakuten mobile: Innovating through AI…

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  • The Future of Telecoms: an imperative for radical transformation

    Discover how telecom operators can overcome their structural challenges and embark on three strategic paths to a prosperous future: reinventing the integrated model, delayering, and transitioning to a utility-based model, based on an article by McKinsey. Structural challenges: An industry at a crossroads The telecom industry is facing unprecedented financial and structural difficulties. Some of…

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  • Telecom asset reorganization: toward a transformation in Europe

    In 2024, the European telecommunications sector is undergoing a significant transformation. Mergers between mobile operators, combined with a strategic reorganization of their assets, are reshaping the industry. In the UK, the merger between Vodafone (18.5 million subscribers) and Three (10 million subscribers), approved in December 2024, has created the country’s largest network, with a total…

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  • GenAI: a return to pragmatism!

    GenAI technology, though innovative, is likely to shift back to predictive AI in over half of the situations, with a reduced impact on return on investment. It’s essential to move from the concept phase to production and to focus more on priority use cases to ensure scalability. What role could predictive AI play in this…

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  • Building Climate Resilience: ensuring network continuity in disasters

    Recent climate events, such as the dramatic flooding in Valencia, highlight the crucial need for telecom operators to ensure the resilience of their networks in the face of natural disasters. To maintain connectivity in affected areas, they must deploy adaptive infrastructure, such as elevated antennas and easily transportable modular sites, which are weather-resistant and quickly…

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  • Key steps for integrating AI into Telecom Companies

    The adoption of Artificial Intelligence (AI) has become essential for telecommunications companies seeking to improve efficiency and create new growth opportunities. However, to fully benefit from this technology, a structured approach is necessary. Here are the three key steps of a roadmap for effectively and sustainably integrating AI into daily processes. 1. Preparing the Ground…

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