AI and Machine Learning are currently being exploited in almost every scientific fields. However, networking has still a limited development and deployment of these techniques.

AI can be effectively used in many networking areas, such as fault isolation, intrusion detection, event correlation, log analysis, capacity planning, and design optimization, just to name a few.  Moreover, the complexity of today networks makes it challenging to design scalable network measurement and analysis techniques and tools. Machine learning and big data analytics techniques promise to shed light on this enormous amount of data, but smart and scalable approaches must be conceived to make them applicable to the networking practice.

WAIN workshop aims at showing to the community new contributions in this field. It looks for smart approaches and uses cases useful for understanding when and how applying AI in networking.  The workshop will allow researchers and practitioners to share their experiences and ideas and discuss the open issues related to the application of machine learning to computer networks data.