Artificial intelligence plays an important role in almost all the industries today, from its application in the medical field, marketing, and advertising, 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 to significantly 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, automating detection, e-mail, voice call, and database storage services.
The major factors that are key to telecom industries are
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 is based on tools automation tools. The metrics can provide common practical insights.
Telecom is one of the industries that are suffering the largest financial losses. Network security due to breaches in the cybersecurity systems, telecom frauds are very common and happen in various forms that are voicemail fraud, identity theft, international revenue-sharing fraud voice phishing calls, and subscription. Artificial intelligence and machine learning can help in overcoming fraud by detecting transactions that are fraudulent.
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, few examples of such applications are Siri, google assistants, 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.
Intelligent Customer Relationship Management (CRM) Systems
Managing customer relations is one of the prominent roles of any organization or a 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.