



How can AI and ML techniques be applied to OAM data for security threat detection?
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what is oam
- What are the advantages and disadvantages of in-band OAM?
- What are the key performance indicators (KPIs) that can be effectively monitored using a combination of OAM and telemetry?
- What are the implications of Network Function Virtualization (NFV) for OAM?
- How can OAM and telemetry help ensure a better quality of experience (QoE) for network users?
- Why is OAM important in telecommunications networks?
- What is the role of machine learning (ML) in identifying anomalies and patterns in OAM and telemetry data?
- What are the security implications of exposing OAM data and functionalities?
- How can this unified view improve incident response and troubleshooting efficiency?
- How can network slicing be monitored and managed using OAM?
- How can OAM be used to detect and mitigate denial-of-service (DoS) attacks?
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