Application and Role of AI in Telecommunications | NASCOM

Applications of AI

Artificial Intelligence is a broad term that is very important as it includes advanced AI algorithms and machine learning techniques. These algorithms and technologies allow robots and computers to function more effectively and intelligently than normal humans. AI is the ability of machines and robots to imitate human behavior.

AI for Telecommunications

AI for Telecommunications

The telecommunications sector is expanding at an exponential rate. In the telecommunications sector, the business environment is becoming increasingly competitive due to the growing demand for higher quality services. Telecommunications providers face increased competition. Enhancing customer happiness is one of the key factors in winning over the competition. Companies that fail to meet customer demands will lose market share as customers move to others with better products.

Companies in the telecommunications industry must offer services and products that focus on what their customers want.

Telecommunications sector needs to introduce technological transformation to improve the level of service offered to customers. Technology can improve productivity in companies. AI systems can be deployed to meet customer needs for faster, cheaper, and easier-to-use technology. However, implementing AI requires significant financial and human resource input.

AI applications in telecommunications

Predictive analytics: AI-powered predictive analytics uses data, complex algorithms, and machine learning techniques to predict future outcomes based on preliminary data, helping telecoms deliver better services. increase. It enables operators to monitor equipment health using data-driven information and predict pattern-based failures, enabling mobile phone base stations, power lines, data center servers, and more. means that you can proactively solve problems with communication hardware such as residential set-top boxes.

Chatbot customer service: Chatbots have the potential to enhance, extend, and even internationalize computer services. You can improve customer satisfaction by providing faster response times and customer care in languages ​​not normally possible. However, the biggest benefit that chatbots bring to the telecoms industry is not increased customer happiness, but rather the ML-driven ability to provide a very wide range of informed advice and his NLP to a very knowledgeable marketer. It is also possible to become We have enabled personnel who can communicate in other languages.

Fraud Identification: AI utilizes advanced algorithms to discover and predict network anomalies. Enabling companies to recognize cyberattacks early makes sense from a cybersecurity perspective. In addition, cutting-edge technology significantly reduces response times, enabling operators to neutralize threats before they can spread and compromise internal information systems. Many companies store financial information to protect user information in case of cyberattacks.

About offline customers. Companies claim that it is difficult to detect breach attempts without artificial intelligence tools.

Improved transmission: With the development of the Internet, transmission has become an important part of the telecommunications industry. Nowadays, the Internet cannot be slowed down even a little. As a result, the power of AI has improved the transmission quality.

Communications service providers have effectively worked to develop customer loyalty and enhance revenue generation using AI and machine intelligence in communications. As AI advances with technology and paves the way for a new future, the telecom industry has been doing quite well thanks to its tireless efforts and cutting-edge algorithms.

The future of AI in communications

The potential of AI as a tool to transform the look and operations of the telecommunications sector lies ahead. AI has achieved so much in such a short time that it has changed our planet from what it was before AI.

The future of AI

Jobs in Artificial Intelligence:

  • big data engineer
  • business intelligence developer
  • data scientist
  • machine learning engineer
  • research
  • Python developer

CEO on artificial intelligence

It will be interesting to see how society deals with artificial intelligence, but it will be cool.

Colin Angle, CEO and Founder, iRobot

About the FutureSkills Prime Program:

Future Skills Prime program, A joint venture between MeitY and nasscom. Various C-DAC centers are involved as lead resource centers for institutionalizing blended learning mechanisms in specific emerging technologies. C-DAC Pune has been entrusted with the responsibility of the Lead Resource Center for Artificial Intelligence Technology.

The courses offered under the FutureSkills Prime program are:

1. Bridge course

This course is designed to increase participants’ awareness of data science, machine learning, and deep learning tools and techniques so that they can recommend and apply these technologies in real life and at work.This course is designed for graduates, entrepreneurs, interns, new hires, IT professionals, non-IT professionals working in the IT industry, ex-

both staff and faculty.

Registration link to register bridge course

2. Training of Government Officials (GOT)

The program will train government workers on emerging technologies in AI, learn about cutting-edge technologies, create new ways of documenting, and improve their skills to do their jobs differently. Helpful.

3. Training of Trainers (TTT)

Provides an introduction to artificial intelligence, principles, and faculty approaches to advance knowledge in the areas of AI, machine learning, deep learning, NLP, computer vision, and their applications.

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