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GraphRAG for Network Autonomy: A Framework for Proactive Telecom Operations
This project will design a new AI system to help Ciena’s Blue Planet division automatically understand and solve complex problems in communication networks. Currently, AI tools can only answer simple, fact-based questions. The research intern will develop a more advanced “GraphRAG” system that connects all network data—like equipment status and error logs—into a smart knowledge graph. This will allow the AI to answer broad, analytical questions, such as identifying the root cause of recurring network slowdowns across different regions.
The expected benefit for Ciena is a fundamental shift in its software capabilities, transforming its Blue Planet platform from a management tool into an AI-driven, proactive assistant for network operators. This innovation will provide a significant competitive advantage by reducing operational costs, improving network reliability, and enabling faster service delivery for their customers.
Faculty Supervisor:
Shervin Shirmohammadi
Student:
Partner:
Ciena Corporation (Ottawa, ON)
Discipline:
Computer science
Sector:
Information and cultural industries; Manufacturing; Professional, scientific and technical services
University:
University of Ottawa
Program:
Accelerate
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.