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A guide to enabling end-to-end service visibility from the RAN to the core
Assuring Dynamic Network Slices for Premium Performance
Get your copy of the guide where we'll take a look at:
The challenges in managing dynamic network slice performance
The strategies for managing network slice performance
The importance of artificial intelligence (AI) and machine learning (ML)-based performance analytics to assure the dynamic network slices
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For mobile operators, 5G network slicing is a major revenue opportunity worth over $20 billion by 2026.
Find out:
- How to assure that the RAN, core, transport and individual network components of a network slice are are all performing to meet the customer’s KPIs and overall SLA
- Why performance assurance of network slice-based services requires deep, real-time insights into how the physical underlay and the virtual overlay are behaving
- Why artificial intelligence (AI) and machine learning (ML) are critical for successfully assuring QoE on multiple network slices
Get a copy of the guide on how to enable end-to-end service visibility from the RAN to the core.
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