Telecommunications services are crucial for the exchange of information. Every industry runs on data collection and then processing that information to gain insights. The same holds for the Telco industry. Since businesses are dependent upon the use of communication channels, the Telco industry needs to always provide secure service. Therefore, most Telco companies are adopting AI solutions that can create and manage efficient systems and networks. The use of AI in the Telco industry is widespread and there is still scope for implementation of these solutions to get the most benefits.

AI Use Cases in the Telco Industry

The Telco industry has always been focused on the utilization of technology to provide proper channels for communication. In recent times, the implementation of AI in the form of machine learning, algorithms, and other solutions has proved to be beneficial. Following are a few common AI use cases in the Telco industry.

• Better Customer Service Due to Machine Learning

Customer service, like in most industries, is crucial to the growth of Telcos. Businesses that provide telecommunication services need to offer efficient and secure channels for communication and assist clients in case of any issues or emergencies. The implementation of AI in this use case involves the use of new technology to optimize and streamline networks and to ensure personalized customer service.

Customer service communication that is assisted by AI will primarily use chatbot interfaces or virtual assistants. Telcos that use such AI solutions will also utilize the services of the best cyber security services companies to ensure that all channels are secure and customer data is not compromised. AI solutions will collect and analyze both historical and current, real-time data to resolve issues. This is necessary because, to improve customer service, there is a need for big data processing and analytics.

AI use cases in Telcos for customer service communication can be found in the following aspects:

• AI solutions create gateways or perform as virtual assistants to process customer requests promptly.
• The customer request data is analyzed along with network data to determine the root cause of issues and thus, find a quick and effective solution.
• Re-routing of different customer requests to the proper channels to ensure instant assistance.
• Processing all customer requests and communications to find the “hot leads” that would improve the overall sales for the company.
• Use of entertainment chatbots for processing requests and providing better communication facilities. These are usually present on the company website and social media platforms.

• Improvement in Product Recommendations

Telcos utilize AI for NBO and NBA optimization. NBO stands for “next best offers” while NBA stands for “next best actions”. Therefore, these use cases suggest that the implementation of AI through machine learning and algorithms helps to resolve customer issues and provide accurate solutions and recommendations that would help to increase efficiency.

Telcos often provide data packages for telecommunications services. This is where AI-powered recommendations come into play. Self-learning algorithms are used to analyze historical and real-time data from customer interactions. The insights generated help to determine which packages will work for certain customers. The recommendations are then provided depending on the customer profile. AI ensures that all recommendations are accurate and will be beneficial to the customers. This will also ensure that the company records an increase in sales.

• Automated Call Centre Systems

Call centers are an integral part of the Telco industry, and they usually deal with multiple communication systems. These systems need to be streamlined to provide efficient service to all the clients. This is possible through the implementation of AI solutions. Companies also benefit from IT automation with AI, which helps to create optimized systems that are functional and do not glitch randomly. This helps to eliminate the disruption of communications channels.

AI solutions are used in call centers to automate specific tasks and reduce the need for human intervention. If manual labor is decreased and focused elsewhere, there will be a decrease in errors within the systems. Automation of tasks in the call centers also helps to create systems that are cost-effective and accessible.

The implementation of AI can also eliminate problems that can lead to a decrease in efficiency and sales. This issue happens when a call center records a high rate of call abandonment, leading to distrust among clients. AI solutions can streamline networks and eliminate such problems to ensure proper service.

Network Maintenance and Optimization with AI

If one analyses the use cases of AI in Telecom, it becomes evident that the implementation of AI is primarily in two aspects: the maintenance of communication networks and the optimization of all telecommunication channels.

The maintenance of networks is a basic approach towards creating self-healing networks. Such networks are far more efficient and create systems that do not require any sort of human intervention. There is also scope for IT operations management software applications. Telcos can implement the same tools used in creating and optimizing networks to manage the entire IT infrastructure. Such systems ensure that there are no delays in processing communications and that all channels are always functional.

Telcos have communication networks that deal with big data. Thus, there is a need for accurate analysis. The analysis of this data allows the Telco industry to detect anomalies and resolve them before the entire system is affected or the outages affect client interactions. AI solutions automate load balancing and restart software applications to eliminate issues within the networks so the communication services can be restored. Therefore, AI use cases are primarily focused on the detection of breakpoints within telecommunications networks. Once these breakpoints are identified, they can be eliminated to ensure that the networks are functional and optimized. These networks need to be monitored constantly so that their performance levels are maintained.

Conclusion

AI can provide excellent outcomes to Telcos, especially in the form of enhanced communication services and improved network optimization. Therefore, companies that deal in telecommunications need to be flexible enough to adapt and use these solutions.