- Utilizing edge AI and inferencing fot real-time impairment detection for hybrid fiber coax (HFC) systems
- Deploying intelligent edge devices with on-edge artificial intelligence capabilities to continuously monitor network parameters in real-time to enable immediate detection and classification of anomalies
- Lessons learnt –to what extent can a distributed AI architecture identify impairments that conventional methods miss?
Home » Sessions » Intelligence at the Edge » AI at the Edge: Redefinining Impairment Detection in HFC Networks
Agenda


AI at the Edge: Redefinining Impairment Detection in HFC Networks
- September 29
- 1:00 PM
- - 1:20 PM
Session Speakers
- All timing - Washington, DC