The Role of Cognitive Technologies within the Telecom Sector
The Role of Cognitive Technologies within the Telecom Sector
5G connectivity and Internet of Things (IoT) devices are here, and therefore the challenge for CSPs is to manage these technologies to exploit the simplest out of them. Although tedious, these tasks present a superb opportunity to rework network operations in order that they’re autonomous, proactive, and contain minimal human intervention.
Innovative new technologies have made running telecom operations more complex than ever. It presents a good array of challenges like legacy, multi-vendor, multi-RAN (2G, 3G, 4G, 5G), multi-technology (wireless, wireline etc.), also as different billing and proprietary hardware-based solutions. These operations often are spread across various organizational segments of a Communication Service Provider (CSP), like technical, marketing, customer care, product planning and strategy, and billing.
5G connectivity and Internet of Things (IoT) devices are here, and therefore the challenge for CSPs is to manage these technologies to exploit the simplest out of them. Although tedious, these tasks present a superb opportunity to rework network operations in order that they’re autonomous, proactive and contain minimal human intervention. However, as network complexities increase thanks to the increase of 5G and IoT devices, it’ll become impossible to manage them without the utilization of cognitive technologies.
Cognitive technologies attempt to mimic human brain functions by utilizing technologies like tongue processing, data processing , and pattern recognition. they’re considered to be a sub-branch of the much broader AI (AI) paradigm and are capable of performing tasks which are often performed by humans.
The introduction of robotic process automation in telecom networks will make network operations autonomous and enable decisions that were earlier made by humans. It also can help in reducing the mean solar time to Repair (MTTR). However, there’s nobody size fits all cognitive framework which will suit telecom operations. this is often mainly because the technologies wont to capture information about the various environments are diverse, domain-specific and use-case dependent frameworks. as an example , tongue processing enables interaction with human users, while robotic process automation performs repeated tasks that were earlier done by humans. Over time, as these systems learn and evolve from historical patterns, they’re going to be ready to identify potential bottlenecks and degradation in commission easily.Read More
