Artificial intelligence is disturbing and transforming businesses, in telecommunication industry AI can improve the customer experience, enable self-service, and also reduce operational costs.
FREMONT, CA: All the industries are embracing artificial intelligence because AI has the power to help any sector to stay ahead of the competition in the market. AI is mushrooming in the market because it can streamline the process and also can save the time and extra efforts made by the workers. Here, some use cases of AI in the telecom industry are mentioned:
AI for Predictive Maintenance Nowadays the AI-driven predictive analysis tools are beneficial for the telecom industry. It provides better services by utilizing data, sophisticated algorithms and machine learning techniques to predict future results based on historical data. Here to monitor the state of equipment, anticipate failure based on patterns, operators can take help of data-driven insights. They can also fix all the problems with communications hardware.
Virtual Assistants for Customer Support IN telecommunications AI also provide conversational platforms, also known as virtual assistants. These tools have learned to automate and scale one-on-one conversations so efficiently that they are projected to cut business expenses by as much as $8 billion annually in coming years. Telcos have started relying on the virtual assistants for several things like to help contend with the massive number of support requests for installation, set up, troubleshooting and maintenance. Using AI, operators can implement self-service capabilities that show customers how to install and operate their own devices.
Robotic process automation (RPA) Everyday a vast numbers of customers are engaged in millions of daily transactions. RPA is also a based on AI, which can bring greater efficiency to telecommunications functions by allowing telcos to more easily manage their back office operations and large volumes of repetitive and rules-based actions. By streamlining the execution of complex, labor-intensive and time-consuming processes such as billing, data entry, workforce management and order fulfillment, RPA frees up CSP staff for higher value-add work.