Ericsson and AWS bet on AI to create self-healing networks

The Ericsson cognitive Solutions Network has joined the development of AWS to develop artificial intelligence technologies for self -mobile networks.

Behind every text message and a video call, a complex system that spends billions of telecommunications is to maintain. This partnership between Ericsson and AWS aims to make these networks not only smart, but almost self -sufficient.

“This cooperation represents a milestone in the network improvement technology,” said Jean -Christophe Lancer, Vice president of Erickson’s Cognitive Network Solutions.

“The global infrastructure of AWS and AI, along with the unique communication experience and visions of Ericsson, will help the telecommunications services to adapt to the changing working conditions at predictable costs and enhance operational efficiency.”

When the Internet stops working at home, the first port of invitation is the “Off and ON” approach again: Restart contacts and restarting the router. If this fails, contact customer service. Using Agentic AI, this partnership aims to automate problems, test solutions and repair problems before you notice it. However, instead of just a home connection, the goal of this is to use AulCic AI to do this on a huge scale for communications networks that serve millions of people.

“By working together, AWS and Ericsson will help communications providers in the field of communications to automate complex operations, reduce costs, and provide better experiences to their customers. We offer solutions that create commercial value today while building independent networks.”

Technology works through something called Ran Automation Applications, or “RAPPS” in the industry. These are advanced tools that can learn to manage different aspects of the network. This penetration comes from how these tools work now using Agency AI to improve networks, similar to colleagues in the project.

While technology is undoubtedly complicated, the possible benefits of mobile phone users are clear. Networks that can expect problems and recover themselves may mean fewer fall calls, more consistent data speeds and better coverage in difficult areas.

For example, imagine that you are in a football match with 50,000 other fans trying to use their phones. Today’s networks are often coating under this pressure. However, a more intelligent and more independent network may recognize the crowd early, automatically redirect resources, and maintain the quality of the service without the engineers’ demand to intervene.

Although traditional networks follow the accurate programming instructions, the new approach tells the network what is the desired result-such as “make sure that the video flow works well in this field”-and artificial intelligence discovers how to achieve this, with adapting to the changing conditions in the actual time.

While terms such as “intentional networks” and “independent management systems” may seem like science fiction, they are a fundamental shift in how to provide basic services. As 5G networks continue to expand and 6 grams looming on the horizon, the tremendous complexity of the management of these systems has exceeded traditional methods.

Mobile phone operators are subjected to enormous pressure to improve service while reducing costs; Apparently contradictory goals. Independent networks provide a potential solution by allowing companies to do more with lower human intervention.

As our dependence on reliable communication – everything from distance to education and emerging technologies such as independent vehicles – support the risk of the network’s performance continues to rise. The partnership between these technology giants to create self -portable phone networks indicates that artificial intelligence is not just a word ton but a necessary development of critical infrastructure.

See also: NVIDIA helps Germany lead the artificial intelligence manufacturing race in Europe

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