ChatGPT and other advanced AI for operators: smarter and more personalised customer experience
Access this insight with a Premium plan. Contact our sales team to get started.
Or
Report details
ChatGPT and other advanced AI for operators: smarter and more personalised customer experience
£750
EX. VATThis report is one of more than 140 published annually as part of the GSMA Intelligence data and research subscription, which is designed for organisations that require regular access to our insights. Contact our sales team for details.
Contact usEnterprises have utilised AI for a while now to varying degrees. However, ChatGPT – an AI chatbot developed by OpenAI, based on a large language model – has pushed the envelope on AI capabilities and thrust AI technology into boardroom conversations globally. As a sign of the interest it has sparked, ChatGPT became the fastest platform to reach 100 million global monthly active users, achieving this figure in just two months. While ChatGPT is in its early days and much work remains to be done to improve its accuracy and quality of responses, it is worth exploring how operators could use advanced AI models such as ChatGPT beyond network functions to enhance customer experience.
Report details
ChatGPT and other advanced AI for operators: smarter and more personalised customer experience
£750
EX. VATThis report is one of more than 140 published annually as part of the GSMA Intelligence data and research subscription, which is designed for organisations that require regular access to our insights. Contact our sales team for details.
Contact usRelated research
On-device AI: mobile network filler or saviour?
On-device AI is the next frontier for AI deployments in consumer and enterprise segments. Use cases include AI-based search and personal assistants, image analytics on a smartphone, AI-assisted driving and navigation in cars, industrial applications such as automated guided vehicles, and improved IoT analytics. This has implications for the device world and major tech companies whose business models depend on consumer time on the internet and digital platforms. It also matters for operators, given the ripple effect of AI-driven data traffic on mobile and fibre networks, and the direct revenue opportunity.
Reshaping networks: from a 5G core to an agentic core
Building on previous reports on the evolution of core networks in the 5G-Advanced and AI eras, this report explores what agentic AI means for the mobile core. For the mobile core, most key objectives are unchanged: building future-proof networks that can support a growing and diverse range of endpoints (users, devices and applications) while efficiently delivering intelligent services at scale – all underpinned by a monetisation imperative. But new dynamics have entered the space, from the rise of agentic AI to the sharp focus on sovereignty and mission-critical connectivity. As such, a fresh review of the evolution of mobile core networks is needed.
The AI era calls for a more strategic approach to capex for operators
GSMA Intelligence's Chart of the Month is a visual way of telling an important story in the mobile and broader tech ecosystem. From the shape and size of markets to trends in consumer behaviour, we aim to provide food for thought through informative visuals designed to bring colour and clarity to complex issues facing the industry. This edition looks at capex trends among big tech companies compared to telecoms operators.
Authors
How to access this report
Annual subscription: Subscribe to our research modules for comprehensive access to more than 200 reports per year.
Enquire about subscriptionContact our research team
Get in touch with us to find out more about our research topics and analysis.
Contact our research teamMedia
To cite our research, please see our citation policy in our Terms of Use, or contact our Media team for more information.
Learn moreRelated research
On-device AI: mobile network filler or saviour?
On-device AI is the next frontier for AI deployments in consumer and enterprise segments. Use cases include AI-based search and personal assistants, image analytics on a smartphone, AI-assisted driving and navigation in cars, industrial applications such as automated guided vehicles, and improved IoT analytics. This has implications for the device world and major tech companies whose business models depend on consumer time on the internet and digital platforms. It also matters for operators, given the ripple effect of AI-driven data traffic on mobile and fibre networks, and the direct revenue opportunity.
Reshaping networks: from a 5G core to an agentic core
Building on previous reports on the evolution of core networks in the 5G-Advanced and AI eras, this report explores what agentic AI means for the mobile core. For the mobile core, most key objectives are unchanged: building future-proof networks that can support a growing and diverse range of endpoints (users, devices and applications) while efficiently delivering intelligent services at scale – all underpinned by a monetisation imperative. But new dynamics have entered the space, from the rise of agentic AI to the sharp focus on sovereignty and mission-critical connectivity. As such, a fresh review of the evolution of mobile core networks is needed.
The AI era calls for a more strategic approach to capex for operators
GSMA Intelligence's Chart of the Month is a visual way of telling an important story in the mobile and broader tech ecosystem. From the shape and size of markets to trends in consumer behaviour, we aim to provide food for thought through informative visuals designed to bring colour and clarity to complex issues facing the industry. This edition looks at capex trends among big tech companies compared to telecoms operators.
- 200 reports a year
- 50 million data points
- Over 350 metrics