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University Seminary Implementing Digital Archiving Workflows
Company Situation
The company operates within the higher education sector, specifically a fully accredited university seminary with a modest-sized team comprising approximately 75 full-time staff and over 500 students. Their primary content revolves around archival video footage of a notable founder’s lectures and sermons, which holds significant value for faculty and students alike. The content library is sizeable, roughly eight terabytes, and is expected to grow modestly with additional media clips produced by a partner organization.
Existing Workflow
Currently, all video content is stored in SharePoint, a non-specialized platform that limits efficient media management. Previously, the company relied on a digital library managed by a third party, but that relationship ended, leaving them without a dedicated media asset management system. The content is manually organized with minimal tagging, and access is primarily via a public-facing website or SharePoint folders. There is no integrated system for easy searching, reviewing, or collaborative workflows.
Issues with the Existing Workflow
The existing SharePoint repository is not media-centric and lacks robust search capabilities, making it difficult for users to locate specific footage.
Manual tagging of content is labor-intensive and inefficient, especially given the volume of footage.
Limited budget and infrastructure constraints prevent investment in on-premises servers or complex systems.
Lack of a streamlined review and approval process for content under development or curation.
The public website model for access does not facilitate user-specific roles or secure, scalable distribution.
Difficulty in providing easy, web-based access for faculty, students, and staff with varying levels of engagement with the content.
How Shade Would Change Their Workflow
Shade offers a cloud-first, video-centric media asset management solution that automates the tedious process of tagging content through AI-driven metadata extraction. This allows users to search footage using natural language queries rather than relying on file names or folder structures. Shade’s platform enables mounting cloud storage as a local drive, saving time for editors who otherwise would need to download large files. Its built-in review and approval tools allow multiple stakeholders to comment, collaborate, and approve media assets seamlessly within the system. The web-based interface requires no on-premises server investment, aligning well with the company’s budget and infrastructure goals. Ultimately, Shade would centralize the entire media workflow—from ingestion and tagging to reviewing and distribution—making archival content more accessible and manageable for the university community.
Benefits
- Automated AI-powered tagging reduces manual labor and improves search accuracy.
- Cloud-based access eliminates the need for expensive local servers and infrastructure.
- Mountable cloud drives streamline editorial workflows by enabling direct streaming access.
- Integrated review and approval tools facilitate collaboration among faculty and staff.
- Scalable solution that supports a varied number of users, from core academic staff to occasional student viewers.
- Enhances accessibility and discoverability of valuable archival content, driving engagement and educational use.
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