Telco AI: State of the Market, Q4 2024
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Progress and the return-on-investment question
This is the third report in a four-part series on AI strategy in telecoms. The series identifies the parts of the innovation cycle that matter most, and how they translate into commercial activity and possible changes in corporate strategy.
AI is reshaping telecoms operations worldwide, offering a mix of opportunities and complex challenges. This edition examines current AI transformation in the industry, highlighting progress and key areas for improvement, with strategic insights and actionable takeaways. Understanding how to measure returns is paramount to ensuring sustainable value creation. This research therefore discusses methods to measure the impact of AI transformation.
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Learn moreRelated research
AI for digital industries: navigating enterprise needs, investments and supplier decisions
Digital transformation of vertical sectors is accelerating, with AI being a top area of investment. GSMA Intelligence surveyed nearly 4,200 enterprises across 21 countries and 10 vertical sectors to gain relevant insights into their digital transformation across a range of technologies. This report analyses the key findings and implications for AI.
Five ways fixed broadband operators are using AI
GSMA Intelligence has identified five AI use cases for fixed broadband operators that aim to enhance customer experience while reducing costs: AI for network optimisation, AI for fibre rollout, AI integrated into CPE, AI for sales and marketing, and AI for customer service.
Distributed inference: how AI can turbocharge the edge
For several years, edge compute has been a key part of the 5G value proposition for telecoms operators selling into industries – even before AI. However, AI adds a new dimension to the value of edge through distributed inference.
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