2019 NAB Show

Post-NAB recap

Looking back on the big show!

With over 90,000 attendees, we got to experience what it means to be a startup, front and center at the world’s largest and most comprehensive convention encompassing the convergence of media, entertainment and technology. Response to our application of machine learning technology for M&E was overwhelmingly positive and we walked away with great new connections. Oh, and we also had a lot of fun in the process! We have photos to prove it.

Did you miss us at NAB 2019? It’s not too late to learn more how atsu can help streamline your digital factory. Schedule an introduction and demo:

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Would you like to learn how atsu can streamline your digital workflow?

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Archived pre-event info

Meet atsu at NAB Show

Schedule a private product demo with atsu!
We'll be at the 2019 NAB Show in Las Vegas, April 8-11.

Book a private meeting with atsu!
2019 NAB Product of the Year

Find atsu in the North Hall StartUp Loft

North Hall StartUp Loft booth #N1931
Find atsu in the North Hall, StartUp Loft, booth N1931.

atsu appearances in partner booths

atsu experts @ Dell EMC

Meet atsu at Dell EMC Booth # SL8011:

  • Monday, April 8th @ 1:00pm - 1:30pm
  • Tuesday, April 9th @ 10:00am - 10:30am
  • Wednesday, April 10th @10:00am - 10:30am

atsu presentations @ Qumulo

You may also catch atsu presentations at the Qumulo theater located in booth SL12111 South Hall (Lower):

Monday, April 8th

11:00am-11:20am

atsu presentations at the Qumulo theater located in Qumulo booth SL12111

Machine Learning for Media:
IT Operations

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

9:30am-9:50am

atsu presentations at the Qumulo theater located in Qumulo booth SL12111

Machine Learning for Media:
Production Operations

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

atsu presentations at the Qumulo theater located in Qumulo booth SL12111

Machine Learning for Media:
Exciting Directions

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.

What's hot on Twitter?

Follow @atsu_io and #MLforMedia