Papagianni, ChrysaMurillo, PabloMangues-Bafalluy, JosepBermudez, PedroBarmpounakis, SokratisVleeschauwer, Danny DeBrenes, JuanZeydan, EnginCasetti, ClaudioGuimarães, CarlosGarcia Saavedra, AndresCorujo, DanielPepe, Teresa2020-11-102020-11-102020-06-15Papagianni, C., Mangues-Bafalluy, J., Bermudez, P., Barmpounakis, S., ... Pepe, T. (2020). 5Growth: AI-driven 5G for Automation in Vertical Industries. In Proceedings of 2020 European Conference on Networks and Communications (EuCNC).978-1-7281-4355-2https://hdl.handle.net/10016/31361This paper has been presented at 2020 European Conference on Networks and Communications (EuCNC).Spurred by a growing demand for higher-quality mobile services in vertical industries, 5G is integrating a rich set of technologies, traditionally alien to the telco ecosystem, such as machine learning or cloud computing. Despite the initial steps taken in prior research projects in Europe and beyond, additional innovations are needed to support vertical use cases. This is the objective of the 5Growth project: automate vertical support through (i) a portal connecting verticals to 5G platforms (a.k.a. vertical slicer), a multi-domain service orchestrator and a resource management layer, (ii) closed-loop machine-learning-based Service Level Agreement (SLA) control, and (iii) end-to-end optimization. In this paper, we introduce a set of key 5Growth innovations supporting radio slicing, enhanced monitoring and analytics and integration of machine learning.6eng© 2020 IEEE.conference paperTelecomunicacioneshttps://doi.org/10.1109/EuCNC48522.2020.9200919open accessProceedings of 2020 European Conference on Networks and Communications (EuCNC)CC/0000031136