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How Metadata and Machine Learning Drive Intelligent File Transport

Feb 24, 2021 By Jon Finegold

In January, Signiant introduced Metadata Everywhere, a new series detailing how our innovative Software-Defined Content Exchange (SDCX) architecture facilitates interactions with metadata across disparate and distributed storage environments. This installment details the role of metadata in Signiant’s patented intelligent transport.

Data networks have always been complex, but in recent years network management and optimization have become a growing challenge for media companies. Driven by a hybrid cloud, multi-cloud imperative, and workflows that are far more global and interconnected, there are more variables in play than ever. Dynamic network conditions, growing file sizes, distributed teams and increasingly global business partnerships, along with constant change make manual performance tuning a never-ending and near impossible task. While there’s plenty of opportunity to gain efficiencies from new technology, bigger pipes and the cloud, optimizing network performance is a battle — and one that needs fighting to meet the tight deadlines that define the modern media supply chain. 

Signiant’s patented intelligent transport architecture was created for exactly that purpose — to provide fast, seamless, and secure access to media assets across complex network environments. Our Software-Defined Content Exchange (SDCX) SaaS platform aggregates metadata from billions of file transfers between more than 50,000 companies across almost every IP network scenario imaginable. The platform collects and anonymizes metadata about the assets themselves, the system resources available, and current and historical network conditions to inform the intelligent transport architecture. The architecture then uses machine learning to automatically adapt to continuously changing conditions offering the best possible performance on any IP network.  

In this month’s Metadata Everywhere installment, Signiant explains How Signiant’s Intelligent Transport Adapts to Provide Fast, Seamless Access to Media Assets on Any IP Network. Here, Signiant explores variables such as:

  • When to use TCP vs Signiant UDP 
  • The Amount of Parallelism
  • Pipelining
  • Which operating environment data influences these decisions 
  • How machine learning can make these decisions on the fly

Signiant has a unique lens into the challenges of today’s  media supply chain. Our SDCX SaaS platform connects businesses of all sizes, all over the world. Every day, organizations access millions of media assets  via our platform, which can handle any-size file, data sets with millions of smaller files, and live streams. Because of this, we see every type of private and public IP network with a wide variety of available bandwidth and constantly changing conditions. Each of these elements impacts performance, which makes optimizing content exchange a constant battle. By combining our advanced transport technology with the power of machine learning applied to the vast amount of metadata aggregated across our platform, Signiant’s patented intelligent transport architecture fights that battle, so you don’t have to.

Visit our series, Metadata Everywhere where Signiant explores different ways media organizations can utilize the Signiant metadata framework to enhance productivity and optimize their technology stack.