
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
AI for Network Management with Shirley Wu - #710
Nov 19, 2024
Shirley Wu, Senior Director of Software Engineering at Juniper Networks, leads the discussion on the transformative power of AI and ML in network management. She shares insights on diagnosing cable issues and proactive coverage monitoring, highlighting the benefits of integrating data science. The conversation covers the evolution of roles for network administrators and the innovative Marvis chatbot, which enhances user engagement. Shirley also discusses future directions like proactive testing and the application of smaller ML models to improve efficiency and cost management.
53:44
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Quick takeaways
- AI and machine learning significantly enhance network management by diagnosing issues, monitoring performance, and improving efficiency in real-time.
- Future networking solutions emphasize user experience and self-service, enabling users to troubleshoot their connectivity issues independently, relieving IT burdens.
Deep dives
AI-Powered Networking Solutions
AI native networking technology is essential for simplifying network operations. Juniper Networks employs Mist AI to deliver AI-driven insights into user experiences and proactively detect anomalies. This is particularly important for troubleshooting common issues, such as identifying the factors causing poor video call quality on platforms like Zoom. By leveraging a combination of network and application data, the technology can analyze multiple features at once, providing a holistic view of network performance.
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