RAN (Radio Access Networks) become increasingly complex with the advent of 5G by flexible network architecture, discrete frequencies, densification and richer demanding applications. To tame this complexity, traditional human designed ways of deploying, optimizing and operating a network lead to pretty high TCO (Total Cost Of Owners) and gets very low ROI (Return of Investment). The fast development of AI/ML technologies obviously influenced and changed the world (including traditional telecom industry) a lot in the recent years, leveraging AI/ML based technologies to build self-driving networks to reduce OPEX and increase network gains becomes possible and essentially the expanded eco-system may bring to new business model as well. The expanded RAN eco-system with AI/ML, IT (Information Technology), CT (Communication Technology) and DT (Data Technology) industry players have worked closely to leverage emerging deep learning techniques to enable intelligence in every layer of the RAN architecture. In this Industry forum, we will bring industry leaders and experts who are driving and leading the RAN intelligence development to share their key findings, challenges and future directions with the Globecom 2020 audience, these experts’ companies play diverse roles in the RAN intelligence eco-system thus we expect they will share lots of useful information to form an overall technical picture of RAN intelligence. It is also expected to leverage this interactive communication chance to gather feedback from Globecom 2020 audience and also broaden the RAN intelligence eco-system.