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AI affords Communications Service Providers (CSPs) an opportunity to differentiate and secure new revenues

  • Artificial Intelligence
  • AI
  • AI hardware
  • Internet of Things
  • IoT
  • Communications Service Providers
  • CSPs
  • Mobile Network Operators
  • MNO
  • Mobile Virtual Network Operators
  • MVNO
  • Machine Learning
  • ML
  • chatbots
  • LLM
  • generative AI
  • GPUs
  • GPUaaS
  • Graphics processing unit
  • Suruchi Dhingra
The telecommunications industry is making a major shift in priorities. At Mobile World Congress in Barcelona earlier this year, artificial intelligence took centre stage expanding the telco discussion beyond connected industries and 5G networks. Almost all the communications service providers (CSPs) highlighted the impact of this technology in improving their operations. While most of the focus is still on bringing internal operational efficiencies, more recently, telecom operators have started exploring ways to incorporate AI into their offerings to drive revenues. By enhancing their products with AI to analyse data sets insightfully and quickly, telecom companies can help to solve the business problems of their clients, including sustainability challenges, customer analysis, marketing problems and network issues. In some cases, MNOs and MVNOs are pursuing a strategy of providing consulting related to AI and/or adding AI features into their offerings, for instance for predictive maintenance. Companies like SK Telecom, Vodafone, Telefonica and Globe Telecom are transforming their operations by integrating AI solutions into their service offerings. In this report, we aggregate the findings of recent research into the AI capabilities for CSPs and how these are offered to their clients to show the main capabilities of CSPs in AI in four categories: AI Infrastructure: Defined as AI specialised data centres, computing infrastructure service, semiconductors specifically focussed on AI, AI accelerator chips, and on-device AI. AI Professional Services: Including services like AI consulting, strategy formation, solution development and implementation, system integration and project management. AI Integrated Solutions: Referring to provision of off the shelf AI applications, for instance, for driver behaviour monitoring on video feeds, operational analytics to help retailers, or natural language processing for documents. AI Platforms: Referring to platforms used to build, deploy, train or manage AI applications. Additionally, it also includes provision of AutoML automated, low-code or no-code platforms which draw on various frameworks and libraries. The Communications Service Providers profiled in this report are: AT&T, Bharti Airtel, Deutsche Telekom, Globe Telecom, KDDI Corporation, Maxis, NTT, Ooredoo, Reliance Jio, Singtel, SK Telecom, Telefónica, Telefónica Tech, Verizon and Vodafone. Some leading CSP’s are not included because of lack of information availability or absence of B2B offerings in AI.

The telecommunications industry is making a major shift in priorities. At Mobile World Congress in Barcelona earlier this year, artificial intelligence took centre stage expanding the telco discussion beyond connected industries and 5G networks. Almost all the communications service providers (CSPs) highlighted the impact of this technology in improving their operations. While most of the focus is still on bringing internal operational efficiencies, more recently, telecom operators have started exploring ways to incorporate AI into their offerings to drive revenues. By enhancing their products with AI to analyse data sets insightfully and quickly, telecom companies can help to solve the business problems of their clients, including sustainability challenges, customer analysis, marketing problems and network issues. In some cases, MNOs and MVNOs are pursuing a strategy of providing consulting related to AI and/or adding AI features into their offerings, for instance for predictive maintenance. Companies like SK Telecom, Vodafone, Telefonica and Globe Telecom are transforming their operations by integrating AI solutions into their service offerings.

In this report, we aggregate the findings of recent research into the AI capabilities for CSPs and how these are offered to their clients to show the main capabilities of CSPs in AI in four categories:

  • AI Infrastructure: Defined as AI specialised data centres, computing infrastructure service, semiconductors specifically focussed on AI, AI accelerator chips, and on-device AI.
  • AI Professional Services: Including services like AI consulting, strategy formation, solution development and implementation, system integration and project management.
  • AI Integrated Solutions: Referring to provision of off the shelf AI applications, for instance, for driver behaviour monitoring on video feeds, operational analytics to help retailers, or natural language processing for documents.
  • AI Platforms: Referring to platforms used to build, deploy, train or manage AI applications. Additionally, it also includes provision of AutoML automated, low-code or no-code platforms which draw on various frameworks and libraries.

The Communications Service Providers profiled in this report are: AT&T, Bharti Airtel, Deutsche Telekom, Globe Telecom, KDDI Corporation, Maxis, NTT, Ooredoo, Reliance Jio, Singtel, SK Telecom, Telefónica, Telefónica Tech, Verizon and Vodafone.

Some leading CSP’s are not included because of lack of information availability or absence of B2B offerings in AI.

  • Airtel
  • AT&T
  • Amazon Web Services
  • Bharti Airtel
  • Detecon
  • Deutsche Telekom
  • Globe Telecom
  • KDDI Corporation
  • Maxis
  • NCS
  • NTT
  • Nvidia
  • Ooredoo
  • Reliance Jio
  • Singtel
  • SK Telecom
  • T-Mobile US
  • T-Systems
  • Telefonica
  • Telefonica Tech
  • Verizon Communications
  • Vodafone
  • Artificial Intelligence
  • Internet of Things
  • Hyperconnectivity
    • Information & Communication