AI Archive Enrichment for MediaStorm
The uber talented Tom Vaillant recently attended a MediaStorm workshop and that kicked off a series of follow up conversations. Tom is a terrific storyteller and also an innovative technologist focused on investigative journalism using data and AI. He suggested that there could be a way to improve access to our archive of over 350 films by using semantic search which allows natural language queries by theme, connection or meaning. As Tom Says: “We ingested every published story, enriched it with AI-extracted metadata — topics, entities, themes, key quotes — and wired up hybrid retrieval with a visual gallery. Runs locally at query time, no API calls. Every media organization sits on an archive. Decades of footage, transcripts, reporting — catalogued well enough to store, but not well enough to search by meaning. AI changes that equation. It turns archives into knowledge bases — searchable, structured, and accessible in ways that weren't…
