AI4ME driving the future of media streaming at NetworkX 2025
AI4ME* demonstrated its cutting-edge research at the recent NetworkX conference in Paris, highlighting how AI is set to transform media delivery.
AI4ME’s Professor Nick Race (University of Lancaster) and Dr Rajiv Ramdhany (BBC) led an Industry Fireside Chat titled: "Unleashing object-based media: IP & optical orchestration for cloud-powered flexible media streaming over 5G and beyond."
The discussion focused on how the BBC and Lancaster University’s AI4ME project team is revolutionising next-generation media services through:
- Using powerful cloud GPU computing for interactive, personalised Object-based Media (OBM) content
- Implementing compute-aware traffic steering, network slicing, and edge computing to enhance media service delivery over 5G networks and beyond
- Exploring the critical role of dynamic optical pluggables and transport technologies in handling the immense scale required for OBM.
The session, which took place in the IP Transport, Optical Transport and DCI track on Wednesday, 15 October 2025, underscored AI4ME’s position at the forefront of combining advanced AI with network infrastructure to enable the future of flexible, high-quality media streaming.
In future hyper-personalised media delivery infrastructures, AI-driven orchestration will use cloud and network insights to configure the network, optimally place services at compute sites, and steer users towards these.Dr Rajiv Ramdhany, Research Lead for AI4Me
NetworkX 2025
NetworkX conference in Paris. Professor Nick Race (University of Lancaster) and Dr Rajiv Ramdhany (BBC) led an Industry fireside chat.
*AI4ME is a UKRI Prosperity Partnership research programme led by the BBC, University of Surrey and Lancaster University. It uses AI to create personalised content for streaming, news and live events that fits your preferences and devices.