Telecom resilience now hinges on trustworthy AI, data sovereignty amidst complexity
Telecom resilience now depends on sovereign data control, intelligent orchestration, and safe AI operationalization amidst growing network complexity and mobile data traffic. The article, by an AI Industry Solutions director at Cloudera, highlights how telcos face pressure to expose network data for new services and leverage AI to manage distributed networks, which streaming professionals also rely on for stability. It emphasizes the need for robust data governance, AI monitoring, and accountability to ensure networks remain resilient as intelligence becomes more embedded.
Key Takeaways
- Ericsson predicts global mobile data traffic will hit 280 exabytes per month by 2030, while 5G subscriptions are expected to reach 6.3 billion.
- Resilience now emphasizes sovereign control of data, intelligent orchestration across complex networks, and safely operationalizing AI at scale.
- The Cloudera Data Readiness Index indicates three out of five telco respondents cite infrastructure performance as a consistent hinderance to operational initiatives.
- McKinsey reports 45% of telco C-level executives identify data as the primary barrier to scaling AI agents, despite 50% seeing AI impact.
Why It Matters
The increasing reliance of streaming services on robust, distributed telecom networks means network resilience is a direct factor in content delivery quality and availability. As AI integrates deeper into network management, ensuring data sovereignty and safe AI deployment becomes critical for preventing service disruptions and maintaining user experience. The industry should monitor how telcos invest in AI governance and data infrastructure, particularly the development of distributed data architectures supporting low-latency AI at the network edge, to gauge future network stability and capacity for streaming traffic.
Read full article at theedgesingapore.com
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