Keynote: Network Intelligence and Open Source: Practice and Thoughts
summary
China Mobile builds an Open Network Automation Platform own ID as the intelligent brain for SDN/NFV and contributes code to LFN projects, deploys a customer‑care chatbot since 2014 that handles about 22–23% of care volume, and runs hundreds of AI-enabled systems for routing, slicing and energy savings. Edge AI prototypes detect anomalies in video/audio and automatically adjust bandwidth, a nationwide network‑intelligence competition hosts external developers on China Mobile’s compute platform, and a closed‑loop pipeline retrains models daily.
AI-written summary · about
chapters (6)
- 0:00Start
- 2:37Network Intelligence & Open Source: Practice & Thoughts
- 17:06Level of Sharing?
- 21:33Efficient Way to improve Collaboration Between Industry and Academia ? Is Open Source easier for this integration comparing to commercial software?
- 21:56Methodology or Process to Efficiently Deploy Al Enabled Functions ?
- 22:26Ways of Business Organization to Match Intelligent Network?
related talks
24mDeep Dive into China Mobile’s Open Source Practices for Next-Generation Infrastructure
22mKeynote: Harmonizing of Open Source Networking
22mIs the Coming Decade the Era of Network?
12mKeynote: The New World of Open Source Networking, Edge & IoT
23mNetwork Transformation, 5G and Open Source Practice
17mNetwork Re-architecture Based on Open Source: China Unicom’s Practice and Lessons Learned
09mKeynote: Open Source, Open Standards & Open Vendors – Margaret Chiosi
13mKeynote: Building a Friendly and Shared Open Networking Framework to Enable Industry...
