Telco AI: State of the Market, Q3 2024
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AI and energy efficiency
This is the second report in a four-part series on AI strategy in telecoms. The research identifies the parts of the innovation cycle that matter most, and how they translate into commercial activity and possible changes in corporate strategy.
The telecoms industry stands at a critical juncture, where the push for energy efficiency intersects with rapid technological advancements. This latest edition of the AI series dives into the vital role of AI in enhancing energy efficiency within the telecoms sector, offering actionable insights and practical use cases that highlight how AI can reduce operational energy demands.
Related 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.
AI inference in practice: choosing the right edge
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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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.
AI inference in practice: choosing the right edge
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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