1. Upcoming Trends to Hit the Telecom Industry:

Evolution is a slow but continuous process is a well-known fact but the same is not with technical evolution currently. Technologies are setting up new trends and making industries to evolve at a rapid pace. Telecom industry is no different. With time passing, the sector is evident to hit by new trends that would rejig the operations. Maybe the transformations take more than the expected time but are certain to make their way.

Shift Towards 5G FTTN

The highly anticipated technology that would gain upswing in value is supposed to be 5g fiber-to-the-node (FTTN). Mobile 5G technology might enable new applications, but increasing customers’ willingness to pay higher is certainly doubtful. On the other hand, 5G FTTN has been able to demonstrate its capability to revolutionize broadband services. It has been able to lower the cost and speed up the new deployments. FTTN technology can boost up the broadband speed up to 75 Mbps which certainly will give rise in customers by a fair number for operators. Broadband internet seems to go profitable through 5G FTTN especially for operators with services in a region with a high density of homes and offices.

Embracement of IoT for Smart Facility Service Model:

Currently, telecom operators only visionize IoT in the industry as the technology that will require 5G as a service. But the technology has more to it as the smart sensors are being installed in infrastructures to create a smart facility. Operators can look for at services to process IoT and generate customer value resulting in new revenue source. All smart infrastructures depend on IoT more than 5G that will result in a greater shift towards IoT centric service models.

AR and VR to Gain Importance

Apart from AI and ML, two other cutting-edge technologies that would gain importance in the telecom sector would be augmented reality (AR) and virtual reality (VR). AR, on one hand, can be crucial in maintenance tasks leveraging engineers to comprehend the fault just through a mobile application. On the other hand, VR has an immense scope of enhancing entertainment landscape with its features.

2. AI is Streamlining the Telecom Industry in 3 Ways:

The Telecom industry is heavily deploying artificial intelligence (AI) to optimize its workflow and processes. The industry is at the center of technological growth, driven by mobile and broadband services in the internet of things (IoT) devices. The rise is expected to continue as Technavio has estimated that the global telecom market will touch an impressive CAGR of greater than 42 percent by 2020 with the help of artificial intelligence (AI).

AI Provides Added Values to Telecom

Currently, communications service providers (CSPs) are encountering higher demands for better service qualities and better customer services (CX). Telcos are matching up with these demands with the help of vast sets of data collected over the years through their massive customer bases. The data is extracted from devices, mobile applications, networks, geolocation, and detailed customer profiles.

Telcos are also leveraging AI to process and analyze massive volumes of Big Data to gain actionable insights and offer better customer experience. AI is also becoming crucial for streamline operations and increase revenue through new services and products.


Future-centric CSPs have dedicated their AI investments on the following main regions:

Network Optimization

AI plays a vital role in building self-optimizing networks (SONs) that provides the operators with the capability to automatically optimize network quality as per the traffic information by time zone and region. AI application in telecom industry also employs advanced algorithms that search for patterns within the data sets. It enables the telcos to identify and predict network anomalies and allows them to deal with issues even before the consumers are affected proactively.

Predictive Maintenance

Operators can use data-driven insights to observe the state of equipment, identify failure based on patterns, and proactively fix them with the help of AI-driven predictive analysis. It also leverages historical data for the deduction of future results. In other words, network automation and intelligence allow better root cause analysis and estimation of situations. In the longer run, the technology will support more strategic goals such as dealing efficiency with emergency business needs and creating new customer experiences.

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