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Video Production Company Upgrading 160TB NAS with AI-Powered Cloud Storage
Company Situation
This company operates within the video production and advertising industry, managing large volumes of creative footage for car product advertising campaigns. Their team includes internal editors as well as external contractors located remotely. The production workflow involves high-resolution 4K video files, with significant storage needs and collaboration across different locations.
Existing Workflow
Currently, the company uses a local Network Attached Storage (NAS) system with approximately 160 terabytes for primary video storage, connected via gigabit ethernet to enable direct editing of 4K footage. To back up and share files externally, they rely heavily on Dropbox, which stores around 20 terabytes of footage. Collaboration with external editors is managed manually, with team members having to inform contractors about new footage locations and updates.
Issues with the Existing Workflow
Footage Management: Large volumes of footage become difficult to organize and search, leading to "orphaned" assets that are hard to locate.
Limited Searchability: Dropbox and Google Drive lack advanced metadata or AI-driven search capabilities, making it challenging to find specific clips quickly.
Collaboration Bottlenecks: Sharing footage with external contractors is cumbersome, requiring manual notifications and tracking of edits.
Dependency on Individuals: Knowledge of file locations is often siloed within certain team members, creating risks if those individuals are unavailable.
Fragmented Tools: The workflow spans multiple platforms (NAS, Dropbox, Google Drive), complicating the ingestion, review, and delivery process.
How Shade Would Change Their Workflow
Shade offers a unified platform that integrates the entire video workflow—from camera ingest through post-production review—in one system. It provides a familiar folder and drive structure similar to Dropbox or Google Drive but enhances it with AI-powered search that analyzes the actual video frames to identify content, not just metadata. This enables natural language queries to find specific footage efficiently.
Key features include:
- AI-driven content recognition (e.g., cars driving on the road, facial recognition) to automate tagging and make footage easily searchable.
- Simplified sharing and collaboration tools that reduce manual coordination with external editors.
- Centralized storage management that reduces reliance on multiple disconnected systems.
- A user interface designed for ease of use, minimizing onboarding time and learning curve.
Benefits
- Improved Footage Discoverability: Quickly locate specific clips using AI-powered natural language search.
- Streamlined Collaboration: Simplify sharing and communication with internal teams and external contractors.
- Reduced Bottlenecks: Eliminate knowledge silos by making media available to all team members.
- Consolidated Workflow: Manage ingest, review, editing, and delivery processes within a single platform.
- Time and Cost Savings: Minimize time spent searching for assets and coordinating workflows, enabling faster creative output.
Technologies Used
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