Join our meetup, learn, connect, share, and get to know your Toronto AI community.
Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.
Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.
Context: Telecommunication Networks are complex multi-vendor/technology (Huawei, Ericsson, Nokia, …) which NOC (Network Operation Center) continually monitor and respond to faults/failures on equipment & sites usually concentrating all alarms from different vendors.
Challenge: Use historical data to predict if a site will go down on the next hour (or so) based on the events their NMS (Network Management Software) are collecting from all elements – this is a time window-based analysis that chances all the time.
Anyone on the community that have faced this (or a similar problem) would like to share any thoughts / papers / links to solution/model/approach ?
submitted by /u/macacochimpa
[link] [comments]