Opinion. Phil Kippen, Global Industry GTM Lead, Telecommunications in Snowflake, before his conference at the MWC25. He speaks of the importance of autonomous networks for the telecommunications sector, of their Advantages, cost savings and challenges:
With the rise and mass adoption of the IAthere is a greater interest in autonomous networks. These networks are expected not only to reduce the operational costs of telecommunications companies, but also optimize customer experience. However, how close we are about this technology.
Autonomous networks have the potential to transform the operators’ cost model, helping them to maximize the use of hardware and software and to eliminate infra -infra -infra -useal resources. At the same time, they allow Save operational costs When moving from manual provisioning services to automated decisions taken in real time. These systems optimize both network hardware and software and services offered to customers and subscribers. From the point of view of customer experience, autonomous networks continuously monitor the network and services to ensure that they conform to customer expectations, operator capabilities and business objectives.
Despite its potential, the widespread deployment of autonomous networks It presents important challenges For telecommunications operators. There are still several years to reach “level 5: totally autonomous networks” defined by the TM Forum, especially as AI technology matures. As with any system based on AI, there must be an expert human supervision with duly trained models to prevent hallucinations and biases. If not to approach, these risks could have a significant impact on critical infrastructure and affect thousands of customers.
The arrival of 6G, such as the first generation of mobile network architecture that incorporates data -based capabilities and the design in its design, can help overcome some of these challenges and achieve a broader adoption of autonomous networks.
The success in the deployment of autonomous networks depends on the capacity of telecommunications operators to make the most of the potential of your data and models of reliable and effective. Modern data platforms, which offer solid AI capacities, allow to unify structured and unstructured data of the entire business ecosystem in a centralized and managed environment. This provides operators with an integral vision of their operations and allows them to make precise and autonomous decisions practically in real time, thus accelerating the widespread adoption of autonomous networks in the sector.
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