Essential Guide: Intelligent Storage for Broadcast Workflows
December 20th 2018 - 01:50 PM
Once logged in you can set content preferences to let us know what you are interested in and whether you want to receive email from us.
Already Registered? Login
Major advances in seemingly unrelated industries such as Deep Learning and High Performance Computing are empowering broadcasters to deliver greater efficiencies and improved performance. IT has perfected the art of optimizing costs against resource through scalability and flexibility. And broadcasters can capitalize on these wins.
This Essential Guide investigates these advances and how they are influencing broadcasting. Large data sets used in Deep Learning methods have advanced parallel computing to the extent that full bandwidth video can be streamed over IP networks directly into editing systems.
Download this essential guide now and learn how block storage replaces the old outdated mapped drives of the past. Discover how security is taken to a new level and the way advanced audits can determine who is accessing valuable assets.
Understand how centralized storage simplifies infrastructure design and allows systems to expand to meet the needs of a growing business.
Download this Essential Guide now and learn from the leaders in IT innovation how to improve your broadcast workflows to build scalable flexible systems.
Supported by
You might also like...
An Introduction To Network Observability
The more complex and intricate IP networks and cloud infrastructures become, the greater the potential for unwelcome dynamics in the system, and the greater the need for rich, reliable, real-time data about performance and error rates.
Designing IP Broadcast Systems: Part 3 - Designing For Everyday Operation
Welcome to the third part of ‘Designing IP Broadcast Systems’ - a major 18 article exploration of the technology needed to create practical IP based broadcast production systems. Part 3 discusses some of the key challenges of designing network systems to support eve…
What Are The Long-Term Implications Of AI For Broadcast?
We’ve all witnessed its phenomenal growth recently. The question is: how do we manage the process of adopting and adjusting to AI in the broadcasting industry? This article is more about our approach than specific examples of AI integration;…
Next-Gen 5G Contribution: Part 2 - MEC & The Disruptive Potential Of 5G
The migration of the core network functionality of 5G to virtualized or cloud-native infrastructure opens up new capabilities like MEC which have the potential to disrupt current approaches to remote production contribution networks.
Standards: Part 8 - Standards For Designing & Building DAM Workflows
This article is all about content/asset management systems and their workflow. Most broadcasters will invest in a proprietary vendor solution. This article is designed to foster a better understanding of how such systems work, and offers some alternate thinking…