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Telecom Business Review | Wednesday, May 05, 2021
The advent of AI has made it possible for the telecom industry to glean valuable insights from massive data sets, facilitating the resolution of problems, streamlining day-to-day operations, improving customer service and happiness, and other outcomes.
FREMONT, CA: In telecommunications, AI offers several prospects. By deploying AI effectively, businesses may seize these opportunities and provide superior customer service.
AI can drastically enhance quality factors. According to PRNewswire, the global market for AI in telecommunications will increase at a CAGR of 49.8 percent between 2021 and 2026, from USD 773 million in 2019 to USD 1,3450 million. Thus, it is apparent that Telecom firms can achieve greater heights by utilizing AI.
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Here are examples of how AI has affected telecom companies in various ways.
Increases Service Quality
The telecoms industry might employ machine learning and artificial intelligence systems to review millions of call detail records in real-time. Using predictive maintenance techniques, identify trends that may suggest difficulties and eliminate dropped calls, poor quality, and other issues. Applying these tactics to many situations impeding consumer satisfaction is possible.
Enhances Client Satisfaction
In addition to offering excellent services and being available 24 hours a day, it is difficult for telecom companies worldwide to maintain a high level of client satisfaction. There is a range of AI options in the telecom industry that can assist in maintaining a high level of customer satisfaction and, consequently, increase profit generation.
Consider the case of Verizon. Verizon's strategy consisted of shifting 17,000 customer service representatives to a virtual work paradigm while retaining physical retail locations. Staff at its stores use AI-enabled technologies to operate a touchless sales environment, ensuring worker safety and high customer satisfaction.
Increases efficiency
Managing complexity to provide the greatest customer experience while remaining cost-effective and efficient is challenging for telecom firms. Nokia's new digital services leverage artificial intelligence (AI) and machine learning to save network maintenance time and effort while ensuring engineers have access to the most current network information and capabilities.
Consider a real-world instance. In 2021, Nokia and Vodafone announced a jointly created machine learning tool that operates on Google Cloud and detects and resolves network problems before they harm Vodafone customers. The software rapidly detects and fixes anomalies that can influence the quality of client support, such as mobile site congestion, interference, and unexpected latency. The Anomaly Detection Service is anticipated to detect and automatically address around 80 percent of Vodafone's atypical mobile network issues and capacity needs.
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