Broadband Forum Introduces Projects to Harness AI, Machine Learning
Briefly

The Broadband Forum has introduced three innovative projects designed to utilize open source software, artificial intelligence (AI), and machine learning (ML) to enhance network performance and user experience. The Open Broadband-CloudCO-Application Software Development Kit (OB-CAS) aims to simplify monitoring and maintenance for Broadband Service Providers (BSPs) while expanding application choices. The Open Broadband-Simple Two-Way Active Measurement Protocol (OB-STAMP) focuses on proactive network performance measurement at customer premises. Lastly, the Open Broadband-Subscriber Session Steering (OB-STEER) will improve the flexibility and manageability of subscriber connections, enhancing overall network efficiency.
The Broadband Forum's new projects leverage AI and ML to enhance network performance, simplify monitoring, and improve user experience through open source software.
These new projects will play a key role in improving network performance measurement and monitoring and the end-user experience," Broadband Forum Technical Chair Lincoln Lavoie said in a press release.
OB-CAS aims to simplify network monitoring while offering a wider selection of applications, improving user experience through automation and cloud AI and ML.
The OB-STAMP project will enable proactive monitoring of subscribers' home networks to measure latency, preventing network failures with simple components.
Read at Telecompetitor
[
|
]