Market Trends

Trends to shape the Telecom Industry in 2022

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Technology is rapidly progressing, resulting in a significant acceleration in technological advancements. Technological improvements have boosted innovation, agility and market development. Telecommunications is one of those businesses where experts debate which developments will have the most influence in the near future, as the latest technologies are essential in a fast-moving and fast-changing sector like telecoms.

Now that we are getting closer to the start of 2022, it is time to look at the trends that will influence the telecom business in order to better grasp how this sector will change in the coming year. So, let us take a look at some technological advancements so you know what to look forward to and embrace.

Wi-Fi 6

Wi-Fi 6 is a Wi-Fi network with an extendeds range, allowing for a higher density of connected devices, and providing faster communications. For starters, expanding Wi-Fi 6 networks will increase capacity, speed and reduce latency, while also allowing fiber to reach regions where it is prohibitively expensive. Frontline mobile employees, telemedicine, remote employment and education will all benefit as a consequence. As a result, the digital gap will be bridged as new technologies promote innovation and growth for millions more people.

Telecom operators will be able to leverage Wi-Fi 6 integration to develop new ways for optimizing traffic across access networks. Based on operator policy or real-time network conditions, traffic or application type, this technology will be able to route traffic to the interface that provides the greatest user experience or the most efficient use of network resources. In addition, when used together, 5G and Wi-Fi 6 will increase signal strength to enable IoT deployments, support always-on devices, and minimize resource congestion with high-capacity networks, allowing IoT devices to transfer more data while using less power.

Cybersecurity mesh

The cybersecurity mesh is a decentralized architectural approach to achieve scalability, adaptability, and dependability in cyber control. The mesh shifts the emphasis from traditional IT perimeter protection to a more modular approach. The notion of a cybersecurity mesh acknowledges that networks do not have physical borders. Companies must create a security barrier around each user, allowing them to access assets safely from any location or device.

And, as the telecom sector grapples with a slew of cybersecurity challenges, cybersecurity mesh will emerge as a mainstream approach. Because cybersecurity mesh adheres to a zero-trust network concept, any connection used to extract content is considered “unreliable” until the security protocol verifies it. As a result, threats may be identified in real time, and assets such as data and devices can be better protected. The mesh guarantees that all data, systems and equipment are treated similarly and securely, regardless of their location within or outside of the network.

Responsible and Generative AI

Responsible AI is the process of designing, developing and deploying AI with the purpose of empowering people and organizations, while also having a fair influence on consumers and society. This is a new field of AI governance, and the phrase “responsible” refers to both ethics and democratization. Telecommunication businesses stand to benefit greatly from developments in artificial intelligence, such as the capacity to provide genuinely personalized customer experiences without jeopardizing consumer privacy and confidence. Responsible AI helps companies and consumers to enjoy the full benefits of AI without risking data security. One essential objective of responsible AI is to decrease the possibility that a small modification will have a major impact on the output of a machine learning model.

Another significant AI technology that is entering the market is generative AI, which uses machine learning algorithms to learn about materials or objects from their data, and then uses that knowledge to create entirely unique and realistic outputs. Generative AI may be used for a multitude of activities such as generating software code and targeted marketing, but it can also be abused by bad actors for scams, fraud, political misinformation, fabricated identities, and other illegal actions.

Telemedicine

Telehealth continues to gain popularity throughout the world, owing in part to the world’s two-year quarantine. During this time, it was critical to provide a secure means for physicians and patients to interact. Customer demand for contactless diagnostics, voice/video healthcare services, online primary care, and other telemedicine services increased, all of which significantly rely on telecoms’ communication infrastructure. Telecom firms are well positioned to benefit from this expanding industry.

Telehealth has the ability to save medical costs, enhance patient outreach and health outcomes, and alter how doctors approach their patients. In certain circumstances, doctors employ artificial intelligence for diagnosis. Although this area is still in its early stages, AI will be in high demand for medical diagnoses and assistance from 2022 onwards. Telehealth technology will only progress in the future, boosting its importance on the healthcare business.

No-code/Low-code

Low-code/no-code development platforms are visual software development environments that let business and consumer developers drag and drop application components, link them, and build mobile or web apps. Professional developers may rapidly design systems using low-code and no-code modular techniques, which eliminate the need to write code line by line.

For telecoms, this implies that with low-code/no-code, participants can quickly build a platform that allows customers to “self-serve” and design solutions with no IT involvement. Only those who understand code can construct software when it’s written in code. Business users, on the other hand, may construct or update executable programs without coding using low-code/no-code. Telcos must also be nimble enough to respond quickly to changing client demands. Low-code/no-code aids in the elimination of organizational and IT barriers, allowing companies to adapt to quickly changing market conditions and growing competition, and also expand at the speed of demand. Telecom companies that embrace low-code/no-code development platforms will be well ahead of the competition in terms of agility in providing new updates and upgrades to their customers.

Conclusion

Yet another year has accelerated business digital and technical changes, driving companies to embrace new solutions to innovate for the future. These technological developments in 2022 will be enthusiastically adopted by the telecommunications industry, as telecoms remains at the forefront of innovation, embracing new technologies and possibilities to expand and excel.

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