Emerging AI Trends In The Telecom Industry

by Harikrishna Kundariya, CEO at eSparkbiz Technologies

Introduction:

Artificial Intelligence (AI) is a technology that has the potential to shape our future. Today, almost all business verticals are utilizing AI in one way or another. AI is a large field, and there are many things yet to be researched, but it’s definitely been ground-breaking for many industries. Daily new research findings are emerging.  Most of these have shown how AI can help businesses improve operations and be more productive.

AI is a black box for some, whereas it is a portal to unlocking great potential for others. Most businesses have started adopting AI as much as they can. It is predicted that by the end of 2023, companies will spend $10.83 billion on AI and automation.

Considering AI’s involvement in every business sector, the telecom industry isn’t far behind. Telecom companies are doing their individual research on AI to improve their business models. Using AI, it is easier for telecom companies to make accurate decisions. Moreover, with the right predictions from AI systems, they can get an insight into their decisions before they implement them in real life. Using AI’s predictive capabilities, telecom companies can get an edge over their competition.

To sustain the competition, businesses try to adhere to market standards and trends. Trends justify the changes that are widespread and followed by everyone to gain some benefits.

Here are some trends that are up and coming in the telecom industry.

Improve telecom network maintenance:

Telecom network maintenance is essential. When a network goes down, it is not only the users who suffer, but the telecom company also suffers a more significant loss. Loss of network shows the company’s insincerity towards its services and lack of care for its customers. The business also suffers monetary losses due to network breakdown. If there is some significant fault, the company has to get it rectified quickly, and this is costly too.

Hence AI is being used to overcome this problem. With AI, telecom companies can quickly identify the point of failure. Most of the time in network maintenance is spent behind finding the first point where maintenance is needed. With the availability of AI, it has become easy. Moreover, telecom companies are also leveraging IoT, which is a great technology.

Companies are looking forward to developing context-aware AI systems. Such AI systems are brilliant and can identify their state quickly. These systems follow the observe-orient-decide-act model to make decisions.

Using AI, downtime can be minimized. Moreover, the maintenance work can be carried out quickly by benefitting from context-aware systems and IoT processes.

Many companies are carrying out network maintenance with the help of drones. Comarch is one such company that creates solutions for telecom network maintenance with the help of AI-enabled drones.

Optimize network performance:

Network performance is vital if you want to be in the market. No user prefers a slow network. If your telephone towers are weak, you’ll face difficulty in adding new customers as well as maintaining the current ones.

There are many solutions for optimizing network performance. With the advent of AI, telecom service providers are using AI to optimize their networks.

One of the most common ways in network optimization is to predict network traffic and usage based on past conditions. AI can find out trends based on past data. These trends can then be used to create strategies to serve customers in a better way.

Telecom service providers create intelligent AI and ML systems that can accurately predict network traffic for any region. The results generated from AI systems are pretty accurate, and companies use those to optimize network performance. Usage data for any area is freely available with the service providers, so they can use this data to benefit.

Network performance can be optimized by increasing a tower’s capacity and range during certain peak hours when the area has high usage. Also, it can be decreased at a later stage to accommodate lower traffic levels.

Using AI, network performance can be controlled just like a remote-controlled device. The service providers are loving this benefit; hence AI is being used extensively. Many companies like AT&T and other telecom leaders are using self-organizing network technologies. These technologies have AI at their base and can work effectively under heavy traffic conditions.

Taking network performance a step ahead, Intel and Capgemini have tied up hands to develop a one-of-a-kind solution. These companies are already working on increasing the 5G spectrum’s capacity. Their project macaroni aims to boost a customer’s network experience by using real-time predictive analytics. Using this AI solution, every cell phone tower can handle more traffic than before, ultimately resulting in better network performance under a heavy customer base.

Improve network security/authentication:

Security is a big concern in the telecom industry. Tower Hijacking, wiretapping, and call forwarding pose a severe risk to the telecom business. To secure the user’s data from theft and cyberattacks, telecom service providers are using new and unique techniques. Many of these techniques include AI at their base.

AI can be used to authenticate users and also provide security to towers. When users sign up for a new connection, the chances of fraud are highest. They can use fake addresses, proofs, images, and any other thing. Identifying these fake things manually is nearly impossible. Hence, telecom companies are using AI to authenticate new users.

AI systems are being trained to spot fake documents. There are specific characteristics of fake documents that are well known. AI systems are trained to identify such characteristics on documents. When they reach a certain confidence level, they are used in everyday authentication work to ensure that no imposter is served.

Towers can be secured by using preventive AI technologies. These models are trained to look for defects in the towers every now and then. Sometimes the systems try to attack the towers to test the security procedure’s working. Using AI, it is easy for telecom companies to find towers in need of security. Such towers can be found by constantly monitoring and reporting if even a slight change is found in the tower’s characteristics.

End-user data protection is important because today, hackers are more active than ever before. Moreover, hackers are targeting places like telephone company’s databases where they can get a lot of personally identifiable data easily.

Many telecom service providers in the US are already using Cujo.ai’s network security solutions. Companies like Verizon, AT&T, and Charter communications rely on AI services from cujo.ai to secure their networks.

Cujo.ai has a unique offering named Sentry that can process large datasets in seconds. This AI system is well developed and it can make its own decisions regarding whether there is a security issue or not. Moreover, these systems are trained heavily with real-world data, so they can easily detect and take actions on unauthorized actions over a telecom network.

When AI is leveraged, the need for better standards increases. Hence, many telecom service providers use end-to-end encryption and other newly created security protocols and encryption standards. With suitable security systems, the data is fully secure and free from any interference.

Conclusions:

There are many trends that are seen within the telecom industry, and AI constitutes the majority of them. The telecom industry is being modernized at a large scale, and so they are trying to include AI as much as possible in their business models. Above, you’ve seen the three major trends seen in the telecom industry. These are the ones that are now becoming benchmarks for the telecom industry.

References:

https://www.esparkinfo.com/our-team.html

https://www.statista.com/statistics/740436/worldwide-robotic-process-automation-artificial-intelligence-spending-by-segment/

https://techblog.comsoc.org/2021/06/30/project-marconi-machine-learning-based-ran-application-to-boost-5g-spectrum-capacity/

https://techblog.comsoc.org/2019/06/10/cisco-announces-ai-ml-and-security-software/

https://techblog.comsoc.org/2018/07/10/nokia-china-mobile-collaborate-on-5g-and-ai-nokia-tencent-on-5g-in-china/

https://techblog.comsoc.org/2017/04/17/verizon-china-telecom-huawei-et-al-form-etsi-ai-group/

https://techblog.comsoc.org/2018/03/28/ai-ml-for-iot-lp-wans-new-it-requirements-for-edge-computing-part-i/

https://techblog.comsoc.org/2020/05/24/covid-19-has-changed-how-we-look-at-telecom-infrastructure-cloud-and-ai/

 

About Harikrishna Kundariya:

Mr. Harikrishna Kundariya is a serial entrepreneur leading eSparkBiz since 2010. Under his leadership the company has built its reputation as an excelling offshore development company. He values building relationships with clients rather than just focusing on the business at hand.

 

 

2 thoughts on “Emerging AI Trends In The Telecom Industry

  1. Great work on revealing AI trends in telecom. Thanks for sharing such useful information.

    I can refer readers in India to one of the best telecom and technology solutions services in Hyderabad.

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