Bridging the Gap To Autonomous AI-Native Telco
summary
Claim that 95% of telcos use AI but 79% remain below autonomy level 2 and need a leap to closed‑loop autonomy. Presents a concrete blueprint: a common agent fabric with skill‑based agents, domain‑driven intent, knowledge graphs and policy guardrails. Recommends right‑sizing: most processing at edge with nano/SLMs, 4–7% mid‑tier models, 1% large LLMs for complex reasoning. Shows an open‑source SDM platform (git‑native, model garden, VS Code plugins) integrated with SALIS, LF‑Networking MLOps, TM Forum standards.
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chapters (10)
- 0:00Autonomous AI-native telco intro
- 5:17Key telco challenges today
- 10:16Why AI approaches fall short
- 14:34Blueprint for autonomous telco networks
- 18:29Telco AI maturity stages
- 21:01Right-sizing AI for telco use cases
- 24:57Open-source enablers for telco autonomy
- 28:06Learnings from the journey
- 30:54Demo of open-source AI-native platform
- 43:51Q&A on monetization
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