📢 **Call for Papers: Special Issue on AI-driven Management and MLOps for Networks and Services**
🚀 New: Accepted papers are published online immediately after acceptance through Wiley’s continuous publication model, ensuring rapid visibility and impact.
Artificial Intelligence is rapidly becoming the operational core of modern communication systems. From cloud-native infrastructures and edge computing to 6G, IoT, and critical infrastructures, AI is transforming how networks and services are monitored, optimized, secured, and operated.
At the same time, the growing deployment of AI introduces new challenges: How do we manage AI models in production? How do we ensure trustworthiness, explainability, security, resilience, and governance of operational AI systems?
To address these challenges, we are pleased to invite submissions to the Special Issue:
📖 **AI-driven Management and MLOps for Networks and Services**
📍 *International Journal of Network Management (Wiley)*
📅 **Submission Deadline: 31 October 2026**
🔗 CFP: https://onlinelibrary.wiley.com/page/journal/10991190/homepage/call-for-papers/si-2026-000414
This Special Issue follows the successful AIMLOps 2026 Workshop at IEEE/IFIP NOMS 2026 in Rome. The quality of the papers, presentations, and discussions demonstrated that AI-driven management and the operational management of AI itself are becoming defining challenges for future communication systems.
In fact, dedicated journal special issues directly associated with workshops remain relatively rare in our community. This Special Issue reflects both the timeliness of the topic and the outstanding quality of the research presented at AIMLOps 2026.
We particularly encourage authors to submit work on:
🔹 AI-driven network and service management
🔹 AIOps, MLOps, and LLMOps
🔹 Large Language Models for operations and troubleshooting
🔹 Autonomous and zero-touch networks
🔹 AI for cloud-native, edge, 5G/6G, and IoT environments
🔹 Explainability, transparency, and trust in AI-driven operations
🔹 Security, privacy, and governance of operational AI
🔹 Monitoring, observability, and lifecycle management of AI systems
🔹 Benchmarks, datasets, and operational experiences
For authors of AIMLOps 2026 papers, this is an excellent opportunity to extend your workshop contribution into a mature archival journal publication with deeper evaluation, broader validation, and additional scientific contributions.
We look forward to receiving your submissions and advancing the future of AI-driven networks and services together.
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