Artificial Intelligence (AI) and Machine Learning (ML) is a perfect match for 5G. While 5G offers capabilities to support low latency and very high speeds (e.g., eMBB), massive number of devices (e.g., mMTC), heterogeneous mix of traffic types from a diverse and demanding suite of applications (e.g., URLLC), AI/ML complements by learning from complex patterns to provide scope for autonomous operation, transforming 5G into a scalable real-time network that is data-driven.
In this webinar, we will the cover role of AI/ML to address various 5G operation challenges and use cases, interplay of AI/ML with edge computing, how AI/ML is being leveraged for Open RAN and AI/ML based applications at the intersection of Telco and Hyperscaler offerings. We will share progress being made in the IEEE FNI AI/ML working group and the roadmap items being considered.