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 inference in practice: new intelligence from the hospital floor
Enterprises need to understand that where inferencing happens – whether at the user edge (device and enterprise/on-premises) or network edge (far edge, near edge and telco private cloud) – will have major implications for application performance, data sovereignty, resilience and energy efficiency. This analysis focuses on how running AI workloads on the enterprise edge (on-premises) can deliver improved outcomes.
MWC Shanghai 2025: a window into the future?
MWC Shanghai is in the books for another year, having attracted 45,000 visitors (from 12,500 companies), along with 400 exhibitors and partner groups. The numbers were up from the 2024 event by 13% and 92% respectively. This analysis highlights the key takeaways and implications from meetings, summits and announcements at the event – and in particular, whether the progress seen in China can be mapped to other regions.
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As AI adoption grows, inferencing will accelerate, raising questions about workload processing and business benefits. This analysis examines how running AI workloads on the edge can deliver improved outcomes.
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