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Telecom Business Review | Friday, August 13, 2021
The demand for digitalized products and services among telecommunication companies is growing.
FREMONT, CA: Clients increasingly demand a better customer experience and a broader selection of digitalized products and services from telecommunications firms. Telecoms can benefit from the massive amounts of user data acquired over years of operation by employing AI technologies. Mobile applications, devices, networks, user profiles, geolocations, and billing data assist in gathering this information. The goal is to use Big Data to identify trends and deliver actionable insights to increase revenues, improve cost structures, improve the customer experience, and enhance overall operations.
Many telecommunication businesses have begun to leverage their investments in network optimization, preventive maintenance, virtual assistants, and robotic process automation due to the high value of AI applications in the telecom industry.
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Network Optimization
Self-Organizing Networks (SONs) allow operators to automate network-optimization operations based on regional or time-zone-specific traffic data. Self-Organizing Networks (SONs) are created by telecommunications service providers using artificial intelligence (AI) technologies. Businesses can proactively detect and predict network abnormalities using advanced algorithms integrated into massive and unstructured data sets, enabling them to resolve problems before negatively impacting end users.
Preventive Maintenance
AI approaches for predictive analytics have a great deal of promise within data utilization activities, given that algorithms, in conjunction with machine learning techniques, can anticipate future outcomes based on historical data. This enables telecommunications to integrate data-driven insights into daily operations to monitor equipment conditions, predict hard asset breakdowns based on patterns, and solve the issue swiftly. In the near future, network automation and intelligence will enable businesses to combine root cause analysis and failure prediction. However, in the long run, these technologies will help telecommunications service providers support strategic objectives, such as increasing customer experience and resolving operational difficulties efficiently.
Virtual Assistance
Conversational AI technologies are transforming customer service now. A virtual assistant or chatbot automates and scales one-on-one conversations exceptionally efficiently; the technology will enable organizations to reduce operating costs by up to $8 billion. Virtual assistants can help telecom businesses manage thousands of support requests for equipment installation, maintenance, and other inquiries.
Infrastructure- and operations-centric
This model implies that the corporation's only focus is cost-effectively operating telecommunications networks and capturing the value of data generated by those networks. A paradigm like this requires incumbents to invest heavily in 5G and other capabilities to gain structural advantages. Implementing an operational and infrastructure-led model will enable telcos to achieve cost savings in the following areas: network rollout and asset optimization, predictive maintenance, and field force labor optimization, which, according to field studies, can reduce a company's costs by between 5 and 10 percent.
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