Efficient AI
Making Azure’s big bet possible Recent innovations in generative large language models (LLMs) have made their applications and use-cases ubiquitous. This has led to large-scale deployments of these models, using complex, expensive, and power-hungry AI…
Intelligent monitoring: Towards AI-assisted monitoring for cloud services
Integrating AI into cloud service monitoring improves incident detection accuracy, reduces unnecessary alerts, and enhances overall system reliability. This helps organizations better align with business goals and increase customer satisfaction.
Project Janus: L1 processing with Mavenir RAN (MWC 2024)
This video encapsulates the collaboration between Mavenir and Microsoft in enhancing Open RAN networks through advanced programmability. Leveraging Microsoft’s Programmable RAN platform and the Janus dynamic service model framework, the partnership has successfully integrated real-time,…
Project Janus: xApp using Dynamic Service Models (MWC 2024)
This video presents a collaborative demonstration by Microsoft, Amdocs, and Juniper, showcasing how RIC xApps, specifically Amdocs’ massive MIMO xApp, can alleviate mobile network coverage issues. Microsoft’s dynamic E2 service models enable xApp developers to…
Project Janus: Support for Cohere Multi-G networking (MWC 2024)
This video explores how mobile operators can enhance profitability and innovation through distributed cloud technology, Multi-G networks, and programmability. It delves into the synergy between Azure’s global platform, Janus technology, and Multi-G’s spectral efficiency, supporting…
Project Janus: The anomaly detection demo (MWC 2024)
Explore the transformative world of vRAN operations in this insightful video, where frequent updates and complex troubleshooting meet the power of AI and machine learning. Discover how defining a normal operational state in vRAN is…