The use of artificial intelligence in telecom is getting increasingly popular and it is pretty simple to understand why. Let us discuss the four main applications of artificial intelligence in telecom.
Telecom industry in AI:
The telecom industry has come a long way from providing basic internet and phone service. The industry has become the epicentre of technological growth, led by the mobile and the broadband services in the Internet of Things era. The telecommunication industries make use of artificial intelligence for
- Network optimization
- Preventive maintenance of the telecom lines
- Robotic process automation
- And in the maintenance of virtual assistants
AI has become the hype to reality, we can find that in the telecom industry, AI is being embraced by service provider all over the world. Research studies reveal that more than half of the service providers expect to adopt AI within the networks by the end of the year 2020. The industry has realized a future in which the network has been automated to the fullest extend and to remove dependencies of humans in managing the networks.
Benefits of using AI in different facets of the telecom industry:
- AI for network optimization:
Artificial intelligence is helping CSPs to build self-optimizing networks that give operators the ability to optimize the network quality automatically based on the traffic information by time zone and region. AI in telecom companies makes use of advanced algorithms to look for patterns within the data, thereby enabling telecoms to detect and predict network anomalies and allowing them to proactively fit problems before customers could get negatively impacted.
- AI for predictive maintenance:
The artificial intelligence-driven predictive analytics is helping telecom companies to provide better services by making use of data, sophisticated algorithms and machine learning techniques to predict future results based on historical data. Operators can make use of data-driven insights to monitor the state of equipment, proactively fix the problem with communications hardware and anticipate failure based on patterns. In short, network automation and intelligence will enable better root cause analysis and prediction of issues.
- Virtual assistance for customer support:
Yet another application for AI in telecommunication is conversational AI platforms. These are also known as virtual assistance and they help to automate and scale one on one conversations to efficiently cut business expenses by at least $8 billion by the end of the year 2022. Telecommunication companies have turned towards virtual assistants to help with the massive number of support requests for set up, installation, maintenance and troubleshooting, which generally overwhelm customer service centres.
- Robotic process automation for telecoms:
The CSPs have several customers who are engaged in millions of daily transactions, susceptible to human error. RPA is a form of business process automation technology based on Artificial Intelligence. RPA can bring about excellent efficiency to the telecommunication functions by allowing the telecoms to manage their back end operations efficiently in large numbers.
AI in the telecommunications industry is helping CSPs manage, optimize and maintain not just the infrastructure but also its customer support operations