Quantum’s View For 2019 On M&E, Rich Media


Media and entertainment “rich media” is a hot topic. Don’t know anything about it? You will, Quantum predicts.

Storing and managing content is about to become a TV industry essential. Quantum fancies itself as a leader in storing and managing video content, and works with businesses in post-production, broadcast, corporate video, sports video, autonomous vehicle design, the defense department, and cloud services on meeting their respective rich media workflows.

What does Quantum envision for M&E and rich media in 2019?

  • Rich media content will grow exponentially, across many industries: Video now constitutes 50% of all data. Rich media comprises our video surveillance; consumer images, voice and video; medical imagery, IoT, entertainment and social media. Large and unstructured data is often 50 times or larger than the average corporate database. Video is unique, and it is not typically a good fit for traditional backup; it cannot be compressed or deduplicated, it doesn’t work well with replication, snaps or clones, and ingest speed is critical. Rich media is projected to surpass 100 Zetabytes worldwide by 2020. Expect enterprise data services to be increasingly optimized for large or rich media data sets, with infrastructure optimized for ingest processing and the full life cycle management of forms of rich media.


  • NVMe and flash adoption evolves for media workflows: NVMe, the latest generation of flash technology, has already brought critical speed and scaling benefits, significantly accelerating ingest as well as other aspects of production workflows. Expect users to incorporate more hybrid cloud-based workflows to help balance on-premise and cloud-based requirements. NVMe is ideal for tasks like real-time, high-resolution content editing. If media on the NVMe storage is localized to the client, it can get expensive very quickly. However, NVMe over Fabric can be very effective. Watch for NVMeOF on Ethernet to begin replacing FC and iSCSI (even for spinning media).


  • Rise of AI and analytics: Video analytics can provide 100x the value of numerical analytics. Customers will increasingly need deep media catalogs that provide visibility to all the media assets at their disposal, whatever form are they in, showing who has edited them. This is a much richer catalog than just a file system – to accommodate more analytics functions. With video surveillance, do two people look like they’re having an argument? Does someone look like they’re holding a weapon? Are 10 people in line at a grocery store and the people at the end of the line are getting frustrated? Such applications provide tremendous potential, given the right tools. Providing those data services for video will be an area for growth.