MX-AI: Multi-x automation and intelligence ecosystem

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This talk presents an open and modular ecosystem and development kits designed to accelerate the development, deployment, and orchestration of next generation intelligent RAN automation across multi-vendor, multi-domain, and multi-environment (multi-x) networks.

MX-AI brings together users, developers, and AI agents in a unified and cloud-native platform that enables seamless testing, integration, and deployment of xApps, rApps, AI agents, and model into production network, all aligned with 3GPP and O-RAN standards.

This talk highlights three capabilities of MX-AI: 1. Intent-driven RAN automation, 2. RAN configuration recommendation system, 3. reusable and extendable xApps/rApps and AI Agents. ​

Speaker:
Navid Nikaein
Professor, Communication Systems Department, Eurecom, France

Moderators:
Ian F. Akyildiz
ITU J-FET Editor-in-Chief and Truva Inc., USA​​​

Wisdom corner
Moderators:
Alessia Magliarditi
ITU Journal Manager, International Telecommunication Union (ITU)

AI for Good is identifying innovative AI applications, building skills and standards, and advancing partnerships to solve global challenges.

AI for Good is organized by ITU in partnership with over 40 UN Sister Agencies and co-convened with the Government of Switzerland.

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The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.




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MX-AI