It doesn’t take much research to know that telecom is one of the most consumer-hated industries. Out of the blue, this tells us two things about telecom in general. One, people need telecom. And two, telecom sucks at expectation management. In comes artificial intelligence. Like with every other industry that it’s touched, AI has come to telecom riding atop a pedestal of promises. However, Artificial Intelligence in telecom has been playing a vital role in the IT industry.
As it turns out, AI is delivering the goods in the telecom sector. Most importantly, every telecommunication company worth its salt is turning to AI to augment user experience and improve network reliability. Then, there is a whole new avenue of predictive maintenance. AI is kicking in big time to predict (and correct) faults and failures before they surface. Most experts believe that’s just the surface of what AI can do in telecommunications. Combined with machine learning, AI can help revolutionise the telecom sector for the better.
Here are five big ways artificial intelligence and machine learning are transforming the telecom sector right before our eyes:
5G Made Accessibility Easy
The US, the UK, and Korea have already rolled out their 5G accessibility in 2019. 5G guarantees greater bandwidths, higher speeds, and greater privacy. However, these additional features were not possible in previous generations.
Meanwhile, artificial intelligence in the 5th generation has improved accuracy. It has enabled new connectivity and also enhanced layers of security at a fundamental level. Likewise, Artificial intelligence and 5G working together play a very powerful role in the new generation.
The Process of Systems Working Together
MWC19 was an event organized in Los Angeles. It stands for Mobile World Congress. It was held from 25 Feb 2019 to 28 Feb 2019. That is to say, because the main theme of this event was mobile interoperability. This comes under system convergence.
IT Systems works on different standardized languages. It is impossible for two systems to communicate without using different dialects. To figure out what comes next, we need to step in and simplify it for humans to understand.
Data Organization
After the interoperability of the systems, AI plays a vital role in organizing the data. Most importantly, standardized data is anyway more impactful. On the other hand, Artificial Intelligence reviews large batches of data and organize it in a way that is understood easily. Similarly, this helps in making better-informed business decisions.
Integrated chatbots and voice recognition are some examples of AI used in data organization. Similarly, it has become popular because of more time allotted to human interaction and discussion than standardization.
Personalizing the experience
Meanwhile, the data is organized, it should be efficient enough for the business world. How does it help the telecommunication industry? Moreover, AI proves to be instrumental here as well.
Personalization of services based on user preferences are on the cusp of breaking into the telecommunications scene. Identifying the user’s behavior and preferences and enabling personalized services is the forte of AI.
Customer satisfaction
Firstly, the usage of AI has cut expenses to a great level. Chatbots and virtual assistants automate to these support requests. They can handle a bulk of such requests without human involvement.
These virtual assistants automate the requests, analyze, and escalate customer queries if necessary. AI helps in identifying sales. Similarly, it also alerts the customer about other products and services. Keeping a track of all of this, AI improves customer satisfaction.
