On the GK Comarch websites, both we and our partners use cookie files and targeting. Cookie files (a.k.a. "cookies") are small text files sent to your browser by the site you visit at any given time. They are used for analytical and statistical purposes as well as to ensure the proper functioning of the site. Additionally, they are used to tailor marketing content to the interests of users visiting our sites.
As we respect your privacy, we ask for your consent to use these technologies. You can consent to cookies by clicking "Accept all". If you want to personalize your choices, click "Settings." You can withdraw your previous consent or change your preferences at any time by clicking the "Settings" button.
Using cookies for the purposes indicated above is related to the processing of your personal data. The administrator of your data is Comarch SA. In some cases, our partners may also be the administrators of your data.
For more information on how we and our partners use cookies and process your personal data, please see our Data Processing Notice and Cookie Policy.
As is well known, 5G technology promises not only faster networks and more efficient use of available radio frequencies, but also a revolution in the way networks are managed and new types of services.
One of the new groups of services is based on the concept of network slicing. This concept is to enable the rapid (even on-demand) creation of logical/virtual networks based on one physical technical infrastructure. From the application's point of view, this is to enable resolution of existing network-building problems that were a compromise between different requirements on the part of the application. However, this technology comes with a price, which is a significant complication of network management.
Can artificial intelligence and machine learning become a solution to this problem?