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May 20, 2024

How Is AI Being Utilized in the Telecoms Industry?

Artificial intelligence (AI) and automation are two crucial tools that are changing how industries work and develop. They’re impacting education, the gambling industry and many other realms, but one particular area where AI is already being utilised is the telecoms industry. While it’s undoubtedly in the early stages, with room to grow, AI is already playing a significant role.

There’s plenty of speculation around the potential benefits. The harms of this technology, particularly generative AI, receive a lot of attention, and problem solvers are already finding ways to harness this intelligence to give their companies an advantage. They’re then passing that on to their service users, who can experience better availability and security.

Do the benefits of AI surpass the obstacles it poses? It depends if companies are ready to address the challenges involved. Keep reading to find out how the telecoms industry is already implementing AI. 

Predictive Analytics

Amassing large amounts of data is one thing, but turning it into something useful is another challenge entirely. A recent study shows how invaluable iGaming insights can be, and that’s not possible without gathering and analysing data. From estimating the value of game studios to working out how many people are playing Jackpot 6000, reliable and processed data is essential.

The same is true in the telecommunications industry. It’s already using AI to process large volumes of network data and derive insights and one of the key benefits is proactive network monitoring. Taking action before network issues occur can save customers from experiencing downtime.

Boosting availability is one aspect of predictive analytics, but another crucial one is reducing inspection and maintenance costs. They’re especially useful when it comes to security. Telecom companies rely on cybersecurity to keep their networks safe, and AI is helping. The advantages of applying machine learning are varied. They include detecting cyber threats and making decisions to prevent data breaches.

Challenges for the future use of AI for predictive analytics in the telecom industry involve managing data organisation. For the insights to be useful, rapid processing is required, and up-to-date details need to be gathered, stored securely and shared with external organisations. Managing those costs and being prepared to act immediately on the insights is crucial to reaping the benefits of AI.

Network Management

One of the most significant business areas and costs for telecom companies is maintenance. Inspection and repair fees and downtime can be costly. Replacing and fixing equipment, paying specialists and also the reputational damage from repeated connectivity issues all add up, so it’s an obvious area for AI to step in and improve the citation.

AI is used for predictive maintenance, providing insights that spot problems with the infrastructure. Plus, it monitors network events to take action before connectivity issues occur. Intelligent network slicing is an example of AI-driven solutions transforming the industry. By automating the creation of virtual networks, AI can tailor actions to meet specific use cases and customer needs to improve performance.

Capacity planning is essential in the telecommunications industry because it ensures that service delivery is reliable by optimising network performance. Without the bigger picture, it can be challenging to make the right decisions. Now, companies have more information to decide when to scale the infrastructure to meet requirements. Generative AI can take over a significant part of the burden of forecasting and it can deliver accurate predictions based on historical data.

AI has other uses besides identifying the predictable patterns that network monitoring reveals. Algorithms can also be used to detect anomalies, and telecom companies that adapt to using AI can benefit from alerts to relevant deviations in network traffic and other systems, allowing them to act before issues occur.

Customer Relationships

Infrastructure isn’t the only consideration for the telecoms industry when it comes to utilising AI. Customer relationships are another area of the business where it can bring benefits. Most companies need to deliver some kind of customer support, and AI has a role to play. It’s one of the reasons that the market for AI technologies amounted to around $200 billion in 2023.

Machine learning and deep learning allow telecom companies to be more responsive, meaning they can reply to users with queries without needing human agents present  24/7.  AI-powered chatbots cut down on customer waiting times, contributing to positive customer feedback. They provide customers with the information they need quickly and efficiently without having to queue for an operator. They’re also useful tools for saving money while still maintaining adequate levels of customer service. In turn, customer retention improves, which is better for business overall.

 AI isn’t just a solution for responding to customers who need help, it’s also a tool for spotting opportunities. It enhances a company’s understanding of customer preferences by analysing usage patterns, enabling network service providers to tailor their services to serve their users better. Analysing demand and motivations can open up new revenue opportunities.

Telecom companies are already using AI to map the customer journey and respond accordingly. The algorithms choose moments and messages at specific points in the customer journey so customers get the information and engagement they need when making purchasing decisions and addressing issues. It means more conversions and improved loyalty. While that’s not unique to telecommunications, it’s an industry that’s already using this to good effect.

The Future is Now

The benefits of AI are only just emerging, as are the challenges and obstacles it brings. There are going to be new ways to use automation and deep learning, but the telecoms industry is already exploring potential uses and benefits. Healthcare, education, gambling,  and logistics companies are joining them in finding out what AI can do.

Some uses are ubiquitous, such as customer support through AI-powered chatbots. Plus, mapping customer journeys for improved sales and marketing applies across many industries. Predictive analytics is another of the main benefits, but each industry will need to adapt the data gathering and usage process to best meet their needs.

Predictive maintenance, proactive network management and capacity planning are three core areas in which AI helps. It reduces downtime, maximises availability and reduces costs. In the future, we can expect telecom companies to use AI to improve performance, boost productivity, increase network efficiency and reduce operational costs.

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