The 2024 Strategic Guide to AI in Telecom by Analysys Mason outlines how artificial intelligence is redefining telecom operations, customer experience, and infrastructure strategies. Based on in-depth industry analysis, the report highlights best practices, challenges, and actionable recommendations for AI adoption in telecom networks.
AI’s Critical Role in Telecoms
- AI is driving next-gen network automation, predictive maintenance, and service personalization.
- Top investment motivations include boosting revenue, reducing operating costs, and improving service quality and uptime.
Generative AI Takes Center Stage
- GenAI use cases—such as auto-generating support summaries and campaign content—are gaining traction.
- Traditional AI techniques still dominate, powering 70% of telecom AI deployments, with GenAI covering 30%.
Challenges for Operators
- Common obstacles include fragmented data infrastructure, talent shortages, and organizational resistance.
- Many leading operators are forming AI Centers of Excellence (CoEs) to centralize expertise and scale innovation.
Vendor Partnerships and Ecosystem Evolution
- Strategic alliances with technology providers are key to scaling AI capabilities.
- Case studies include:
- NVIDIA partnering with SoftBank to build GenAI infrastructure for telecom workloads.
- SK Telecom forming cross-sector alliances to position itself as a telecom AI pioneer.
Why This Report Matters
- Helps telecom operators define scalable AI adoption strategies focused on real-world ROI.
- Emphasizes the importance of infrastructure readiness and cross-functional AI governance.
- Reveals how ecosystem partnerships are accelerating telecom AI transformation across markets.
“AI will define the next era of telecom growth—from intelligent networks to adaptive services.”— Analysys Mason, 2024 Report
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For more details, visit: https://www.analysysmason.com/artificial-intelligence