{"version":"1.0","type":"card","id":"693740d1-6039-48d3-9fec-e8d92d961fe0","url":"https://stacklist.com/card/693740d1-6039-48d3-9fec-e8d92d961fe0","title":"Archives Unlocked Case Study","source_url":null,"note":"Media archives can be transformed from preservation expenses into profitable assets through scalable digitization and AI-driven content discovery, enabling monetization of historical footage. The Reuters Screenocean case study demonstrates this shift, highlighting the urgency of digitizing degrading tapes and the strategic framework for organizations to unlock commercial value from their unique content.","image":{"url":"https://ucarecdn.com/f6479c13-50cb-4456-b847-09630277ee50/","alt":"Archives Unlocked Case Study","width":1240,"height":1604},"stack":{"id":"1c0ea00f-2fe7-442d-8574-06bd18118de9","title":"QC Guides and Archive Case Studies","url":"https://stacklist.com/c/technology/stack/1c0ea00f-2fe7-442d-8574-06bd18118de9"},"created_at":"2026-07-26T13:10:15.349Z","updated_at":null,"aco":{"summary":"Archives Unlocked examines how organizations are leveraging AI and scalable digitization technology to transform legacy media archives from cost centers into revenue-generating strategic assets. The whitepaper explores the business case, technical requirements, and strategic considerations for converting preserved content into searchable, licensable, AI-ready libraries while addressing the urgent deadline of magnetic tape degradation.","tags":["archives","digitization","ai-monetization","media-management","content-discovery","revenue-generation","preservation"],"key_entities":[{"name":"GrayMeta","type":"organization","confidence":0.95},{"name":"Reuters","type":"organization","confidence":0.95},{"name":"SAMMA platform","type":"technology","confidence":0.9},{"name":"AI-driven content discovery","type":"concept","confidence":0.85},{"name":"digitization","type":"concept","confidence":0.9},{"name":"machine learning","type":"concept","confidence":0.85},{"name":"facial recognition","type":"concept","confidence":0.8},{"name":"speech transcription","type":"concept","confidence":0.8},{"name":"semantic search","type":"concept","confidence":0.8}],"classification":"reference","language":"en","confidence":0.85,"provenance":{"model":"claude-haiku-4-5","tool":"@stacklist/be@0.1.0","confidence":0.85,"timestamp":"2026-09-23T10:38:57.258Z"},"token_counts":{"approximate":5506,"cl100k":5022},"content_hash":"sha256:5d01b0433a2e4bc8443db050c3d79ebf380b1a6cfb92d4d1b159ef8703d5d39c","acp_version":"0.2","body_available":true,"body_tokens":5506,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/693740d1-6039-48d3-9fec-e8d92d961fe0.json","html":"https://stacklist.com/card/693740d1-6039-48d3-9fec-e8d92d961fe0","md":"/api/public/card/693740d1-6039-48d3-9fec-e8d92d961fe0.md","stack_json":"/api/public/stack/1c0ea00f-2fe7-442d-8574-06bd18118de9.json"}}