Telefónica and Juniper Networks collaborate in the development of smart networks that allow self-configuration, self-correction and self-diagnosis.
What is the natural state of the artificial intelligence? What about machine learning? Within the current digital ecosystem we do not stop hearing about the development of new technologies that are present in the production processes of companies in their progress towards total digitalization.
Artificial intelligence and machine learning have become technologies that, applied to the network, will allow its self-configuration, self-diagnosis and self-correction.
In this race to achieve smart products and services, Telefónica has started to develop control systems in its network based on these two technologies with the purpose of advancing the self-management of the network and offering a better quality and experience to its customers. One more step towards innovation.
In September, Telefónica moved towards 5G thanks to the agreement signed with Nokia to analyze how higher performance 4G and 5G networks will lead to the creation of new and attractive services.
A Self-Driving Network
On this occasion, Telefónica collaborates with Juniper Networks in the development and implementation of a ‘Self-Driving Network’ with mechanisms based on the transfer of knowledge in the network for its self-configuration, self-monitoring, self-diagnosis and self-correction of possible incidents.
“The adoption of techniques based on machine learning, artificial intelligence and control systems will guarantee compliance with the most appropriate parameters to the requested service, in terms of latency, speed and any other relevant aspect. In addition, to be monitored and analyzed in real time they can be controlled according to the need of the moment, ” he stressed Joaquin Mata, Director of Operations, Network and IT of Telefónica Spain.
Smart grids will enable secure, reliable and robust connectivity, which is part of the evolution objective of the company for the transformation of its Ultra Broadband network, with fiber and mobile deployments as well as its transport network.
The vision of this network has been conceived by Juniper Networks as “a predictive, autonomous and adaptable network to the context of the moment. This helps to simplify the programming and management tasks that are currently carried out, allowing the reorientation of staff towards innovation in services,” he said, for his part, Kireeti Kompella, Engineering CTO of Juniper Networks.
The progress towards smart networks is unstoppable and its development will allow companies to manage properly thanks to new technologies.
