to shift from reactive to proactive maintenance strategies , enhancing service reliability and lowering costly downtime .”
Studies indicate that AI-driven predictive maintenance can reduce critical incidents by as much as 35 %, resulting in significant cost savings and a vastly improved customer experience – crucial factors in today ’ s alwaysconnected world .
Manish knows that there are specific benefits that telecom providers can unlock by integrating AI into their edge infrastructure .
“ Bringing data processing closer to its source means AI algorithms deployed at the edge can prioritise time-sensitive operations and generate actionable business insights closer to business operations ,” he says .
They can also help to improve network optimisation by :
• Efficiently examining network traffic patterns
• Predicting congestion points
• Dynamically rerouting traffic .
This not only enhances network performance , but also ensures optimal utilisation of resources , resulting in improved reliability and seamless connectivity for users .
“ AI-integrated telecom networks leverage algorithms to safeguard their security infrastructure by speedily identifying anomalies and neutralising potential threats at the source ,” Manish continues . “ By embracing enhanced zeromobile-magazine . com 129