The world is developing dynamically. Every year new
challenges arise along with changes in global processes, and the field of
telecommunications is no exception. To face them, innovative approaches and
digital transformations are needed.
There are a number of unique technologies in the
telecommunications industry that aim to improve customer experience, network
and business flexibility. We have decided to talk about the trends that will
have the greatest impact in 2023.
Cyber security and resilience
In 2023, it will become more important than ever that
CSPs (communications service providers) take all appropriate steps to protect
themselves from both cyberattacks and market turbulence. Although both issues
require different technologies and tactics, both are equally important. From a
security perspective, the biggest threats traditionally come from three
factors. hackers and thieves who want to reveal data that can be sold or used
to harm the business, corporate espionage and lapses in security among
employees, which require a high level of training in safe password use and
phishing attacks.
Because CSPs are the "backbone" infrastructure
that provides the functionality of digital services, they are often very
attractive targets for those with "unclean" intentions. As such, they
are under extreme pressure to ensure that there are no open
"backdoors" due to illiterate users or third-party partners.
Understanding and mitigating these threats will be a major challenge for
telecom operators in 2023.
Artificial intelligence
Artificial intelligence (AI) is poised to transform
almost every industry, and telecommunications is certainly no exception. It is
used for many purposes, from simplifying customer service to predictably
managing the flow of communication traffic through a network. Virtual
assistants and chatbots enable telecom operators to respond more effectively to
requests for technical support, troubleshooting and network improvements.
Network traffic optimization uses AI algorithms to adapt
and reconfigure processes, allocating more resources when demand is high and
reducing them when demand is low.
AI and Machine Learning (ML) are also used to detect
fraud activities, such as illegal and unauthorized access to networks or
specific areas of networks. As AI technology becomes more efficient and the
challenges facing telecom operators become more complex, we can predict that
2023 will see even more interesting and unique AI use cases emerge in the
industry.