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

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