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Telcos transition from business intelligence to machine learning to drive operational efficiency and margin recovery.
Sameer Parker · Venture InsightsPeriod: September 201912 min read
Last updated
Targeted reduction in customer support waiting time
Forecasted annual network expenditure saving
This report analyses the mainstream adoption of Artificial Intelligence (AI) within the telecommunications sector, focusing on tier 1 telcos and RSPs. It identifies three primary areas of adoption: network applications, customer service, and sales/retention. The analysis forecasts that AI-driven initiatives can deliver a 1-2% reduction in network capex, a 10% improvement in sales hit-rates, and a 90% reduction in customer support wait times. It provides a strategic framework for telcos to transition from manual business intelligence to automated machine learning at scale.
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