How can AI & ML applications Reshape Telecom sector?

Telecom Tech Outlook | Friday, December 31, 2021

Businesses are being disrupted and transformed by artificial intelligence and machine learning. Telecommunications companies may use these technologies to improve the customer experience, enable self-service, improve equipment maintenance, and save operating costs.

Fremont, CA: The telecommunications business is riding the wave of digital transformation and the technological revolution to provide customers with a larger range of services. Consumers in today's digital environment, on the other hand, will not be satisfied with standard products and services; they will expect higher-quality services and more responsive service providers. Artificial intelligence and machine learning solutions can assist telecom firms in meeting these goals.

Artificial intelligence is revolutionizing the telecommunications business. AI-based solutions have increased, mainly to increase efficiency and meet customer demand for contextualized experiences.

Network operation and infrastructure issues, the complex nature of networking systems, improper resource utilization, traffic congestion and delay, virtual assistance-related issues, network, and transmission failures, and ever-increasing bandwidth requirements have all been challenges for telecommunications companies in the past.

The use of artificial intelligence in the telecom industry has aided enterprises in boosting growth and revenues, improving network capabilities, and enabling quicker data processing. As the number of connected applications grows, more and more CSPs (communication service providers) see the usefulness of artificial intelligence applications in the telecoms business and come on board.

Telecom behemoths and upstart niche businesses are tackling a wide range of tasks with AI/ML-powered solutions. Let's look at some AI/ML applications that can assist telecom firms overcome some of the industry's most chronic issues.

Chatbots for operational support and automated self-service

It appears that some telecom providers make it difficult for users to use online chat, phone numbers, and contact forms on their websites and user portals to limit consumer complaints. When a consumer does contact a human through chat or phone, they frequently do not receive the information or answers they require.

Furthermore, chatbots with natural language processing (NLP) skills may decipher the meaning of the customer's statements. Such chatbots can also tell if consumers are upset or furious based on their tone of voice or word choice. Modern chatbots can use machine learning techniques and natural language processing (NLP) to examine historical data, server ticket data, networking logs, and users' real-time inputs to provide a pleasurable customer experience and solve problems.