Generative AI and Active Learning: Breakthroughs in Mobile Network Diagnostics
Network diagnostics often struggle with adapting to dynamic environments and novel data patterns, leading to delays in identifying root causes and taking corrective action.
A breakthrough in mobile network diagnostics is changing that.
By leveraging Generative AI, Active Learning, and Machine Learning, mobile networks can automate root cause analysis and remediation—streamlining troubleshooting and ensuring operational efficiency across production and pre-production environments.
In this exclusive webinar, you’ll discover how this breakthrough works and how AI technologies are shaping the future of network diagnostics—paving the way for fully autonomous networks.
What You’ll Get From This Session:
- An overview of key use cases in telco environments, such as diagnostics co-pilot, proactive diagnostics, and real-time monitoring
- A deeper understanding of the role of Generative AI in building intelligent insights
- Insights into how Active Learning and Similarity Analysis enable adaptation to unseen scenarios through real-time user feedback and pattern recognition
We’ll also look at the implementation of an AI-powered system that adapts to novel data patterns, ranks matches, and provides actionable insights for efficient diagnostics.
This webinar is essential for technology leaders, network engineers, and telco AI enthusiasts aiming to optimize network performance.
Save your spot today and see firsthand how AI technologies in combination with algorithms allow operators to adapt to previously unseen situations—without constant retraining.
About the Speaker
Our distinguished speaker for this webinar is Anand Ravi, a seasoned Engineer and Lead Architect at B-YOND.
Anand Ravi holds a Master's degree in Telecommunications, and has over a decade of hands-on experience in network testing and operations. Anand is an expert in 5G network troubleshooting and packet analysis.
