Monday, April 8th
Learn how atsu uses machine learning technology with anomaly detection and workload discovery to help avoid overloading shared resources, impact to production, as well as work stoppage.
Tuesday, April 9th
Find out how atsu’s machine learning technology can streamline Production Operations by predicting the queuing and runtime systems, improving job prioritization and throughput.
Wednesday, April 10th
3:15pm - 3:35pm
Get a glimpse into several different use cases atsu’s unique machine learning technology improves, such as IO chargebacks, developer-centric IO comparisons, auto-resource requirements, and more.
We have a great line up for #Qumulo's Theater Sessions at @NABShow, thanks to Visual Creatures, @atsu_io, @hpe, @rfx, @atempo, @P1, @asgllc , @Projective From Machine Learning for Media, to Collaborating Video Editing on the Cloud and more https://t.co/jGaW8Cx0xe #NAB2019 pic.twitter.com/ApB73BxTYc— Qumulo (@qumulo) March 29, 2019
The #art of survival... #Animation is awesome, but do you spend more time on managing your infrastructure than on your passion? Do bad jobs and overwhelmed #IO interrupt your creation? @atsu_io can help!@NABShow, Booth #N1931, Meeting: https://t.co/cQHRZHnnaj#MLforMedia— Livia Jobson (@LiviaJobson) March 12, 2019