Your privacy

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.

WHITE PAPER:
The Use of AI in Cross-vendor VNF Self-healing

What if a telecom network could not only detect problems, but also predict them and pro-actively reconfigure its services? AI and machine learning (ML) make it possible for the network to self-heal and perform in a cross-vendor environment without any delays or disruptions for customers.

Discover what role artificial intelligence (AI) and machine learning (ML) are playing in the context of automated cross-vendor VNF self-healing and auto-scaling processes.

report, AI/ML for 5G Network Slicing

Key points:

  • Using AI/ML to discover patterns and make predictions
  • Matching the best VNFs for predicted usage
  • Automatically triggering self-healing and auto-scaling across different vendor-specific VNF implementations
  • Assuring uninterrupted service performance for customers through the ability to swap seamlessly between different vendors’ VNFs
  • Managing on-boarded VNFs and machine learning features in terms of the ability to implement the customer services
  • The new role of the end to end orchestrator

Download this PDF to learn more about the use of AI in cross-vendor VNF self-healing

Fill in the form below

Based on this consent your personal data will be processed by companies of the Comarch Group to send you a newsletter. You can withdraw your consent at any time, but remember that this will not affect the lawfulness of data processing based on the consent before its withdrawal. Your consent is being requested under the personal data protection regulations and electronic communications law.. By giving this consent, you agree to receive – via the email– unsolicited commercial and direct marketing communications contained in our newsletter. Learn more about the processing of personal data by the Comarch Group companies.
Your consent is being requested under the provisions of electronic communication law to allow our representatives to contact you by an email message. You can withdraw your consent at any time. Withdrawal of consent does not affect the lawfulness of previously undertaken contacts. In this case your personal data will be processed by companies of the Comarch Group based on their legitimate interests. Learn more about the processing of personal data by the Comarch Group companies.

You can withdraw your consent at any time. Withdrawal of consent does not affect the lawfulness of previously undertaken contacts and data processing carried out on the basis of consent before its withdrawal. By submitting this form, you give us access to your personal data. Read about: The processing of your data by companies of the Comarch Group and your rights as the data subject.