This book provides comprehensive insight into the end-to-end automation journey of telecommunications. It explores the vision of zero-touch, AI-native network and service autonomy, examining key trends, catalysts, and technological advancements.
Csaba Vulk?n is a research department head at Nokia Bell Labs. His main research focus is network automation including AI/ML based network management, intent based autonomous networks and network digital twins. Csabas contribution to the research of humannetwork interworking done together with P?ter Szil?gyi led to the natural language networks concept, an AI breakthrough that can reconfigure networks through human speech. His and his teams work on applying machine learning in network management resulted in the Nokia Anomaly Detection Service which was awarded with the 5G World award for most innovative machine learning software product. During the 25 years of his professional career, he has also worked on network dimensioning, network automation and optimization, and quality of experience management, for which he has received the Nokia Technology Excellence Award. As research manager, he promotes joint innovation with academia, an activity recognized by Budapest University of Technology and Economics with the Pro Facultate Award. Csaba has created over 30 patents and co-authored over 30 publications in book chapters, journals and conferences.
P?ter Szil?gyi received an M.Sc. degree in Software Engineering from the Budapest University of Technology and Economics (BME), Hungary in 2009. He is a senior research engineer and Distinguished Member of Technical Staff (DMTS) at Nokia Bell Labs, with a history in telecommunications and software, artificial intelligence, data analytics, 5G and verticals, connected vehicles (V2X), end-to-end system engineering, rapid prototyping, high-profile public presentations and tech demos, intellectual propertylã4