To do this it is necessary

Artificial intelligence and machine learning in networks  to rely on artificial intelligence and machine learning techniques sharing experiences and best practices taking advantage of the enormous amount of data generated and collected by the network and its platforms. Artificial intelligence and automation help to solve repetitive tasks more quickly or those that respond to certain patterns extracted from the data generated by the network.



This will streamline the planning testing deployment operation and maintenance processes as well as improve the quality perceived by customers. It will be possible to standardize automated solutions for the different phases of all these Russia Mobile Number List as if we always had the best expert addressing a problem. artificial intelligence and machine learning Artificial intelligence is already being applied in our G networks and will play a central role in the automatic optimization of the use of radio resources and the automated dynamic management of its different network components through radio intelligent controllers . Furthermore it is already applied to the reduction of energy consumption in equipment to virtualized operation in cloud environments and to the prediction of possible anomalies in the behavior of our networks to prevent in advance that our clients may perceive any degradation in the services they are enjoying.







Your cookie settings do not allow the display of this content Configure Be more efficient with minimal effort In summary artificial intelligence and automation are tools that come to support technical teams to speed up the execution of repetitive tasks reducing delivery times to provide greater intelligence to those more complex tasks that require it. It is about focusing on the client to be more efficient with minimal effort and lower cost and all this always in a sustainable and safe way allowing experts to focus completely on the tasks of implementation and continuous improvement. which involves designing building and operating the network of the future. The final objective is to have autonomous networks to achieve zero touch operation.