Milano Cortina 2026 (IOC & organizing committee): Qwen-powered intelligent chatbot and AI systems on Alibaba Cloud
The International Olympic Committee and the Milano Cortina 2026 organizing committee used Alibaba Cloud and Qwen models to support energy monitoring, transportation operations, broadcasting, and AI-assisted fan and staff experiences during the Winter Games. The deployment included an intelligent chatbot for energy insights, workflow automation for energy issues, cloud video production and replay systems, and Qwen-powered assistants for multilingual search and engagement.
- Organization
- International Olympic Committee
- Industry
- Public Sector
- Location
- Italy
- Published
- February 2026
Reported outcomes
80,000 people
stakeholders mobilized by transportation management systemOther quantified impact
Strategic outcomes
Primary read
Use case focus
Showing 3 of 3
- 1Operations optimization
- 2Conversational assistants
- 3Workflow automation
- The Games needed better operational intelligence for energy consumption, carbon monitoring, transportation, and media operations across a wide geographic area.
- Organizers also wanted to improve fan engagement, staff access to historical and real-time information, and Olympic ecosystem workflows.
- Deployed Alibaba Cloud systems including Qwen-powered chatbots and assistants, an energy data management system, energy issue tracking workflows, Transportation Management System, Apsara Video-based broadcasting, and real-time replay and media description services.
- Used voice and gesture-enabled AI in the pin trading station and natural-language access in the NOC AI Assistant and Olympic AI Assistant.
- Transportation Management System mobilized over 80,000 Olympic stakeholders.
- Media Rights Holders had access to 4,198 video highlights.
- AMD processed livestream signals of 391 competition sessions.
- Intelligent Pin Trading Station facilitated over 8,000 pin exchanges.
Architecture
Alibaba Cloud deployed a suite of systems for Milano Cortina 2026, including Qwen-powered intelligent chatbots for energy and staff queries, an energy data management system, energy issue tracking workflows, a Transportation Management System, Apsara Video-based cloud broadcasting, Real-Time 360º Replay, and multiple AI assistants for multilingual search and Olympic operations. The article also describes a voice- and gesture-enabled intelligent pin trading station powered by Qwen.
Sources & evidence1
AI-generated summary. Verify important details with the linked sources before relying on this case.
Explore related AI use cases
Was this useful?