Page 93 - SAMENA Trends - June-July 2025
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ARTICLE  SAMENA TRENDS

        powerful Graphics Processing Units (GPUs)   compute, they implemented AI-controlled   to charge  premium rates  for latency-
        via the  cloud,  which are  essential  for the   digital  twins  and  automated  vehicle   sensitive or high-throughput services. For
        computationally intensive tasks involved in   marshalling  systems  – dramatically   example,  AIS Thailand  has  launched  its
        training and running AI models. AIaaS then   improving  operational  safety  and  “Living Network”, delivering real time, AI-
        is a broader service that provides access to   throughput  while  opening  the  door to   driven  5G-A experiences.  AIS also uses
        AI capabilities  and  tools,  often  leveraging   new logistics service revenues .  AI to promote 5G acceleration packages
        GPUaaS for  its  underlying  infrastructure .   •   Enhanced  ARPU  Through  tailored to users’ needs, offering relevant
        The growth forecast of GPUaaS from telcos   Personalization:  Machine  learning  services, improving customer acquisition,
        is a great proxy of telcos providing AIaaS.  helps  telcos  offer the  right  bundle,   and increasing 5G adoption. The network
        •   New Vertical Revenues  via Edge  +   content, or device to the right customer   identifies  high-value  users  and  adjusts
          AI: Smart  manufacturing, precision   at  the  right  time  –  driving  upsells  and   bandwidth  allocation  dynamically  to
          agriculture,  logistics,  and  healthcare   reducing  churn. For instance,  Vodafone   ensure  seamless  service, even  during
          are increasingly demanding real-time AI   implemented a Customer Data Platform   peak times .
          execution at the edge. 5G-A provides the   (CDP)  to  deliver  personalized  portal
          pipe,  while  AI delivers  the  intelligence   experiences, resulting in a 10–30% uplift   The message is clear: 5G-A gives the telco
          -together  creating  platform-based  in  conversions,  along  with  higher  data   network more speed and reach, but AI gives
          monetization  models.  For example,   usage .                          it brains. Operators that build this synergy
          Deutsche  Telekom  partnered  with  •   Monetizing  SLA-based  Experiences  into their  strategy  will  not  only optimize
          Volkswagen  Group Logistics  on the   and  Slicing: AI enables  dynamic SLA-  operations  – but also  become pivotal
          “AutoLog”,  where using  5G  and  edge   based slicing in 5G-A, allowing operators   players in powering the AI economy.

        Conclusion: Smarter Networks for a Smarter Future
        As the telecom industry moves into a new   AI brings the intelligence layer: automating   networks
        era of intelligent infrastructure, the fusion   decisions,  optimizing  resources,  enabling   •   And most importantly, a new role in the
        of  5G-A  and AI  stands  out as  the  most   personalization,  and  powering next-gen   AI economy – as platform providers, not
        consequential  transformation in decades.   enterprise  solutions.  Together, operators   just connectivity players
        No  longer  are  telcos  defined  solely  by   that  adopt  an  AI-native  approach  to 5G-A   The  telecom  winners  of tomorrow are
        towers and spectrum – they are becoming   will gain far more than network efficiency   already laying the groundwork today. Their
        enablers of intelligent,  responsive,  and   . They’ll unlock:           networks don’t just move data faster – they
        value-rich digital ecosystems.       •   Smarter customer interactions powered   think, adapt, and create value in real time.
                                               by generative AI                  With  5G-A and  AI working together, the
        5G-A    provides  the   technological  •   Profitable  enterprise  services built   smart network has finally arrived.
        scaffolding:  ultra-reliable  low-latency  around edge AI and slicing
        communication,   intelligent  slicing,  •   Sustainable  operations  through
        enhanced uplink, and distributed compute.   predictive,  self-healing,  energy-efficient



































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