This Is What Happens to Telecom Networks When Everyone Streams at Once

Telecom networks have always fascinated me during global online usage peaks because they perform under heavy traffic conditions. The unpredictable nature of traffic surges in major worldwide events and sudden work-related changes demands fast solutions because they occur without warning.

Recent market predictions indicate mobile data traffic will increase dramatically from 109 million terabytes per month in 2023 to 603 million terabytes by 2030. The massive increase in traffic shows that networks cannot rely on past management systems to function effectively.

What occurs when these surge episodes occur? A traditional network operation will fail to handle pressure unless it includes adaptive response mechanisms. Network self-learning algorithms enabled by AI and machine learning technologies maintain smooth operation during increased usage.

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Why Self-Learning Matters in Telecom?

AI-powered self-learning algorithms process real-time traffic patterns to adapt automatically through machine learning (ML) and artificial intelligence (AI ...