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Tackling Data Challenges in Open RAN with a Distributed AI-Native Architecture
Xenofon Foukas, Principal Researcher at the Intelligent Networked Systems group of Microsoft Research discusses:
- The importance of AI in Open RAN, and how it compares to its role in conventional RAN
- Challenges telcos face when deploying AI in an Open RAN environment, specifically in terms of data collection and analysis
- The strategies or technologies that can help address these challenges
- Microsoft Research’s role in advancing AI-driven RAN solutions, via initiatives such as Project Janus
To learn more, visit www.microsoft.com
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By The Fast ModeXenofon Foukas, Principal Researcher at the Intelligent Networked Systems group of Microsoft Research discusses:
- The importance of AI in Open RAN, and how it compares to its role in conventional RAN
- Challenges telcos face when deploying AI in an Open RAN environment, specifically in terms of data collection and analysis
- The strategies or technologies that can help address these challenges
- Microsoft Research’s role in advancing AI-driven RAN solutions, via initiatives such as Project Janus
To learn more, visit www.microsoft.com