Ateliere Creative Technologies, a leading developer of media supply chain solutions, has taken home the Best of Show at IBC 2022 award.
The company were handed the award for Ateliere Connect capabilities that enable content owners, broadcasters, sports organizations and studios to power media supply chain workflows in the cloud efficiently.
The awards celebrate innovation and recognize standout technology like the proprietary Ateliere Deep Analysis/FrameDNA capabilities that solve key pain points around content localization and duplication that stresses content libraries and inflates cloud storage costs.
Distributing/streaming content to multiple platforms and countries means creating many different versions to meet the numerous compliance requirements and language needs. One title could generate hundreds of versions.
Because of this, content libraries and archives, whether large or small, have a significant number of duplicate files.
These duplicates not only stress storage pools and make moving content into flexible cloud-based delivery and distribution workflows out of reach due to high cloud storage costs.
Ateliere addresses this pain point with their core technology tenet, Deep Analysis, which uses proprietary FrameDNA artificial intelligence and machine learning to automatically detect identical video frames in media files and frames that differ or are unique.
With this technology, users can effectively consolidate content versions, effectively reducing their storage footprint by 70% or more through deduplication.
This also supports sustainability initiatives by reducing unnecessary compute power required to store and process large, redundant media files.
In addition to the archival cost savings achieved by using Deep Analysis/FrameDNA, users also benefit from increased delivery flexibility.
By storing content in the form of CPLs and using Ateliere Connect, users can quickly render the required localized versions on-demand, keeping and discarding different elements based on the content platform’s requirements.