Telecom operators deploy Big Data analytics and Al to extract insights that help in monitoring and diagnosing network behaviour for traffic and resource management and congestion control. Telcos also utilise it for preventive maintenance like Al-enabled closed-loop automation for fault management, for improving operational efficiency and quality of service (QoS/QoE management), and improving sales by combining customer demographic and past transaction data with social media monitoring, and providing a superior customer experience.
Al for IT Operations (AlOps) is an emerging field that focuses on enhancing and optimising IT operations using Al. Network security and sanctity are maintained through specialised Al by enabling Al at the edge as well as on the cloud. Al-equipped robotic systems are leveraged to provide personalised recommendations based on buyers' habits and preferences and improve pricing and restocking decisions. It also helps in reaching underserved or untouched markets and launching entirely new services to existing or new customers.
Al coupled with speech recognition has become a valuable tool in customer service management. To maintain revenue, it is essential to retain customers, where Al is used to predict customer churn.
This story is from the Mar,2023 edition of Voice and Data.
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This story is from the Mar,2023 edition of Voice and Data.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 8,500+ magazines and newspapers.
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