Artificial intelligence in Telecom Industry plays a very important. In every other industry too, AI is equally important. From its application in the medical field, marketing and advertising, and finance, AI has all the fields covered in the current world. The Telecom industry is partially dependent on artificial intelligence, Siri, Alexa, Augmented Reality (AR), Object Recognition, and many similar features. Telecoms are not just communication service providers (CSPs) anymore, but digital service providers. AI provides immediate Feedback and enables telecoms to make decisions precisely. The key to many deep insights is user consumption patterns and they can be tracked using AI. Today’s communication service providers are facing high demand for quality services and better customer experience. The telecommunication industry has been functioning for many generations now, companies are utilizing AI to figure out solutions to improve their telecom services such as expanding networks, ever-changing communication services, and enormous data generated. Artificial intelligence in the telecom industry has contributed significantly in improving process speed and data handling capacities. Telecommunication companies face challenges like networking systems, improper utilization of resources, traffic, congestion, and delay. AI provides apt answers to all such problems. Applications of AI include machine learning, data analytics, automatic detection, E-mail, voice call, and database storage services.
The major factors that are key to telecom industries are :
1. Network Operations Monitoring
Network operations constantly monitor a wide range of information and network systems including cloud resources, LAN/WAN systems, routers, switches, firewalls, and VoIP systems and application delivery. It also provides timely responses to incidents, outages and performance issues. Network operations monitoring faces many challenges associated with the pursuit of the network. AI and machine learning are based on automation tools. The metrics can provide common practical insights.
2. Network Security
Telecom is one of the industries that are suffering the largest financial losses. The quality of network security is compromised due to breaches in cybersecurity systems. Telecom frauds are very common and happen in various forms- voicemail fraud, identity theft, international revenue-sharing fraud, and voice phishing calls. Artificial intelligence and machine learning can help in overcoming fraud by detecting transactions that are fraudulent.
3. Chatbots and Virtual assistance
AI understands natural languages, accepts voice commands, and completes the given tasks. Virtual assistants and chatbots require an internet connection to function, a few examples of such applications are Siri, Google Assistant and Alexa. Chatbots are supported by AI and they have been entering the market shortly. NLP is constantly advancing and the credit goes to human-machine communication, substantial data, and strengthened algorithms. The primary advantage of voice-driven interfaces is that a user can use them without any physical assistance.
4. Intelligent Customer Relationship Management (CRM) Systems
Managing customer relations is one of the prominent roles of any organization or company. Customer relationship management is a strategic way of growing and getting new customers, every organization needs an intelligent customer relationship management system to excel in their own respective organizations. The fact is that many leading companies have seamless customer service. Customer care has become one of the important things to a company’s success.
