Telco AI eXperiments (Telco-AIX)
August 4, 2026 · View on GitHub
Telco AI eXperiments (Telco-AIX)
Welcome to the Telco-AIX collaborative experimental workspace –> where we explore data-driven decision-making through open-source AI capabilities and open datasets.
🌐 Project site: open-experiments.github.io/Telco-AIX | 🔐 Security policy: SECURITY.md
Experiments
| Domain | Project | Focus Area |
|---|---|---|
| 💰 Revenue Management | RAFM | Revenue Assurance & Fraud Detection |
| 📊 Service Quality | Service Assurance Churn Prediction | Latency & NPS Predictions & Churn Predictions |
| 🌐 Network Operations | 5G Network Ops | Fault Predictions |
| 🌿 Sustainability | Energy Efficiency | Green Telecom Initiatives |
| 🔒 Security | SecOps-AI | Networking Security |
| ⚡ Smart Infrastructure | AI Powered SmartGrid | Grid Optimization |
| 🛡️ IoT Security | IoT Perimeter Security | Perimeter Security |
| 🚀 Advanced AI | 5G CNF RCA with LLM | Root Cause Analysis |
| 💬 Customer Experience | CRM Voice App Intent Classification | Intelligent Customer Interactions |
| 🔍 Anomaly Detection | RootCause Analysis | Model Chaining & RAG |
| 🛰️ Connectivity | Starlink QoE | Satellite ISP Experience |
| 🖥️ Network Operations | NoC AI Augmentation | OSS Optimization |
| 🎩 IT Management | ITSM Automation | Intelligent Service Management |
| 🤖 Agentic Telco-AI | Agent School (successor to the deprecated Agentic Framework) Autonomous 5G Network | Agentic Telco |
| 🥇 Telco Expert Portal | One Stop KnowHow Shop | Prompt Engineering & Embeddings Search |
| 📶 AI-RAN | Radio Network Energy Efficiency Neural PUSCH Receiver | RAN Sustainability & L1 AI |
🥚 Easter Egg
- Run Local AI on Your Old Intel MAC with AMD GPU Acceleration
- Run DeepSeek Locally on Single K8s Node
DataSets & Trained Models Collection
Explore our curated models and datasets: Telco-AIX on HuggingFace
Published Works
| Title | Platform | Link | Key Authors |
|---|---|---|---|
| Distributed AI Inference Best Practices & Gotchas | Medium | Read Article | Fatih E. Nar, Yuchen Fama, Greg Pereira, Yuan Tang |
| AI Provocateur | Medium | Read Article | Matt Smith, Fatih E. Nar, Rimma Iontel, Paul Lancaster |
| The Busy Mom Syndrome | Medium | Read Article | Fatih E. Nar, Robert Shaw, Taneem Ibrahim |
| The Best Choice for AI Inference: vLLM | Medium | Read Article | Fatih E. Nar, Greg Pereira, Yuan Tang, Robert Shaw et al. |
| The AI Engine | Medium | Read Article | Tushar Katarki, Fatih E. Nar, William Caban |
| Lessons Learned from a Telco MCP BackEnd Experiments | Medium | Read Article | Ian Hood, Robert Shaw, Fatih E. Nar |
| Satisfaction is All You Need! | Medium | Read Article | Fatih E. Nar, Ian Hood, Ranny Haiby et al. |
| Artificially Intelligent Platform Interface (AI-PI) | Medium | Read Article | Fatih E. Nar, Ian Hood, Shujaur Mufti et al. |
| TrueAI4Telco | Medium | Read Article | Azhar Sayeed, Fatih E. NAR et al. |
| AI Accelerators' Performance vs Sustainability | Medium | Read Article | Fatih E. NAR |
| Avoid AI Blindness | Medium | Read Article | Arun Thomas, Fatih E. NAR |
| AI for Network Scalability | YouTube | Watch Interview | Fatih E. NAR |
| Integrating Gen AI in Networks | Vimeo | Watch Panel | Fatih E. NAR |
| GenAI in Telcos | Fierce Network | Read Article | Vinodhkumar Raghunathan, Fatih E. NAR |
| BERT Model Training | Red Hat Developers | Read Article | Alessandro Arrichiello |
| ITSM Automation | Red Hat Developers | Read Article | Alessandro Arrichiello |
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