Almost all telecommunications use artificial intelligence and machine learning to improve their customer service primarily through the use of virtual assistants and Chatbots. Telecommunications receives a variety of support requests for setup, installation, troubleshooting, and mAIntenance. Virtual assistants automate and scale the responses to these support requests, which drastically reduces business costs.

As gatekeepers, Chatbots analyse the requirements, learn to forward customer inquiries and, if necessary, escalate them, identify sales opportunities and alert the customer for other products and services that may be of interest to them, and for the majority of them without human intervention.

The ability to offer voice and voice services as Chatbots is avAIlable thanks to artificial intelligence and machine learning. This is not just used in Chatbots, but expands service offerings like Comcast's XI Talking Guide that "speaks" network names / timeslots., displays titles and helps customers navigate through their television options. The company's voice remote control is useful for people with disabilities and anyone who wants to "search" through their voice instead of pressing buttons on the remote control.

AI can help telco’s to identify and react to problems as well as proposing the right service at the moment based on the analysis of customer data. This intelligence, knowledge of historical information and personalized service can also help companies develop better products and services and ways to market them to Give customers what they want when they want it.

One of the most important ways to give customers what they want is Predictive mAIntenance enabled by AI is an essential use, although more behind the scenes, of AI and machine learning that also improves customer satisfaction. Data-driven data help companies monitor equipment, learn from historical information, anticipate equipment fAIlure, and proactively fix it.

Another important face that AI helps with is network optimization. A self-organizing network (SON) powered by artificial intelligence can help networks to continually adapt and reconfigure based on current needs. It is also beneficial when designing new networks. Since AI-enabled networks can be self-analysing and self-optimizing, they are more efficient at providing consistent service

Telecommunications hold vast amounts of customer data. Using artificial intelligence and machine learning, telecommunications can extract meaningful business insights from this data so that they can make faster and better business decisions. This data processing by A I help with customer segmentation, customer churn prevention, to predict customer lifetime value, product development, margin improvement, price optimization and more. Ultimately, artificial intelligence and machine learning have enabled the telecommunications industry to extract insights from their vast datasets, solve problems more easily, manage day-to-day business more efficiently, and improve customer service and satisfaction. The industry gives us a great example of how adopting AI and machine learning was not just good for business; It was vital to any company's survival and ability to compete with competitors.