Mobile Magazine November 2024 | Page 127

CLOUD & 5G

The telecommunications industry is in a prime position to capitalise on the latest advancements in mobile technology , with generative AI ( Gen AI ) alone predicted to generate up to US $ 100bn in impact . Edge computing also plays a crucial role in the telecommunications transformation by providing the infrastructure for deploying AI algorithms right where the data is generated .

Here , two telecommunications and mobile experts explore .
Telecoms , AI and edge computing Manish Singh , CTO for Telecom Systems Business at Dell Technologies , sees that the telecommunications industry is positioned to capitalise on the advancements in AI .
AI can constantly analyse network traffic using machine learning and vast amounts of real-time data . By identifying and addressing bottlenecks , reducing latency and optimising resource allocations , Manish sees that AI can ensure that networks are able to seamlessly support the data-hungry applications we rely on daily .
“ Network operators can also achieve their sustainability goals by applying AI to make their networks more energy efficient ,” he continues . “ Additionally , AI ’ s predictive capabilities are also revolutionising network maintenance . Through analysing historical data and identifying patterns , AI algorithms can predict equipment failures before they occur . This allows telecom operators
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