Every major studio sits on petabytes of content scattered across disconnected storage systems \u2014 and finding what you already own is harder than creating it from scratch. Assets get re-shot, footage gets re-licensed, and entire teams spend their days on manual tagging that never quite catches up.<\/p>\n
This talk tells the story of how StorageDNA and Warner Bros’ Flashpoint team solved that problem from the ground up \u2014 starting not with a new DAM purchase, but with the index that was already there.<\/p>\n
We’ll walk through the four-layer architecture built on the StorageDNA foundation: from universal storage visibility, through an orchestration gateway with per-production policies, to AI-powered enrichment across 142 file formats, to a unified metadata fabric built on the MovieLabs OMC 2030 schema. The result is a pipeline where a file landing on a production volume becomes a fully tagged, searchable asset in under 30 seconds \u2014 with zero manual touches.<\/p>\n
You’ll hear what this looks like in production: 80% reduction in manual tagging labor, screenplay parsing dropping from 4\u20138 hours to under 30 seconds, and 57 generative AI models accessible through a single API. We’ll share the hard-won lessons \u2014 why the metadata layer has to be opinionated, why polling kills scale, and why AI is a force multiplier rather than a replacement for the people who run the system.<\/p>\n
If your studio has tried to modernize from the top down with a DAM purchase, or from the bottom up with custom scripts, this session offers a third path: build intelligence in layers on top of the index you already trust.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false},"categories":[],"show-type":[],"show-year":[],"track":[105],"level":[79],"session_tag":[84,81,97],"class_list":["post-20776","session","type-session","status-publish","hentry"],"acf":{"friendlyid":"SESS-1169","friendlyidraw":"1169","sessionid":"ba4ab0db-8b01-439c-83dd-6599a2011f7f","sessiontitle":"Four Layers, Zero Migration: The AI Pipeline Behind Warner Bros' Studio Asset Intelligence","starttime":"April, 19 2026 12:00:00","endtime":"April, 19 2026 12:20:00","room":{"id":"640c4c61-c883-4dbc-a047-303d97e5c341","name":"W1242: Tech Chat Theater"},"conferenceid":"DNA1","track":{"id":"e69b0df5-4f0c-4764-bb1c-215a2d7d4ce1","name":"Tech Chat Theater"},"level":{"id":"69e954fa-a685-40a8-8234-b7ea4fb04075","name":"Show Floor"},"tags":[{"id":"03e156db-a54f-4318-903f-fd53e4fda390","name":"AI"},{"id":"f99bcc04-d35c-4b91-a49b-8b14c37e9780","name":"Business Strategy and Research"},{"id":"de1a0d72-79ee-4f5b-a57b-a48591f2334c","name":"Production and Post"}],"description":"
Every major studio sits on petabytes of content scattered across disconnected storage systems \u2014 and finding what you already own is harder than creating it from scratch. Assets get re-shot, footage gets re-licensed, and entire teams spend their days on manual tagging that never quite catches up.<\/p>\n
This talk tells the story of how StorageDNA and Warner Bros' Flashpoint team solved that problem from the ground up \u2014 starting not with a new DAM purchase, but with the index that was already there.<\/p>\n
We'll walk through the four-layer architecture built on the StorageDNA foundation: from universal storage visibility, through an orchestration gateway with per-production policies, to AI-powered enrichment across 142 file formats, to a unified metadata fabric built on the MovieLabs OMC 2030 schema. The result is a pipeline where a file landing on a production volume becomes a fully tagged, searchable asset in under 30 seconds \u2014 with zero manual touches.<\/p>\n
You'll hear what this looks like in production: 80% reduction in manual tagging labor, screenplay parsing dropping from 4\u20138 hours to under 30 seconds, and 57 generative AI models accessible through a single API. We'll share the hard-won lessons \u2014 why the metadata layer has to be opinionated, why polling kills scale, and why AI is a force multiplier rather than a replacement for the people who run the system.<\/p>\n
If your studio has tried to modernize from the top down with a DAM purchase, or from the bottom up with custom scripts, this session offers a third path: build intelligence in layers on top of the index you already trust.<\/p>"},"yoast_head":"\n