Unlocking New Value from Media Archives with AI
- Patrick de Silva
- Sep 5
- 5 min read
Updated: Sep 10
I’ve worked with many media production companies over the years, providing solutions for storage, workflow, and archive management. Time and again, customers have asked me the same question: how can we monetise or add value to our archived content?
One company, well-known for its nature documentaries, had petabytes of archived material — including valuable rushes from exotic locations. These had huge potential as stock footage, but the project stalled for one reason: metadata. Creating the detailed, custom metadata needed to make the archive truly searchable was so time-consuming and labour-intensive that it became a roadblock.
I often use the analogy of moving house. Think of each media file as a box full of toys. At the very least, you’d label it “toys.” Go a bit further, you’d note whose toys, which room, maybe even the type. Now imagine a warehouse full of such boxes, all labeled in vague, inconsistent ways. If you wanted to find “all the blue teddy bears with one eye missing,” it would be nearly impossible without opening every box.

Metadata enrichment solves this. It’s like having a team that opens every box, catalogues each item in detail, and records precise attributes — but at lightning speed. Suddenly, locating “blue teddy bears with one eye missing,” “red fire trucks,” or “GI Joe action figures” becomes effortless.
That’s the shift: metadata transforms an archive from a silent warehouse into a living, searchable library. And when every item can be found, reused, and repurposed, each file becomes a source of new value — no longer just stored, but ready to generate revenue. The return on investment shows up in two ways: new monetisation streams and significant cost savings from faster retrieval, reduced re-shoots, and leaner compliance workflows.
Where Metadata Enrichment Creates Value
When we think of organisations with vast media archives, broadcasting and content creation are the obvious starting points. But in reality, media libraries exist across many sectors. Some organisations look to monetise their archives directly, while others seek to add value in different ways — improving accessibility, preserving cultural heritage, enabling faster knowledge discovery, supporting compliance, or deepening community engagement. In each case, metadata enrichment is the unlock that transforms dormant collections into active, high-value assets.

1. Broadcasting & Media
Content: News footage, TV shows, films, sports archives, raw rushes, ads
AI Potential: Face, object, and logo recognition; speech-to-text; theme and mood detection; auto-generated highlight reels
Value:
Archives evolve into subscription-based clip libraries
Long-tail content is rediscovered and licensed
Entirely new revenue streams emerge by re-surfacing “evergreen” footage
Cost savings: producers and editors avoid expensive reshoots by reusing high-quality archived material instantly
2. Government & Public Institutions
Content: Speeches, debates, court recordings, public service videos
AI Potential: Speaker ID, transcription, named-entity tagging, contextual analysis
Value:
Public records become instantly searchable and accessible
Cultural and historical content can be monetised through partnerships with media/education
Governments unlock datasets to fuel local AI development
Future-proofing: as standards evolve, enriched metadata ensures public records remain interoperable across platforms and discoverable decades into the future

3. Education & Research
Content: Lectures, online courses, interviews, fieldwork recordings
AI Potential: Knowledge maps across lectures, multilingual captions, auto-summaries
Value:
Universities extend revenue via e-learning platforms
Localisation unlocks new global audiences
Researchers gain faster, deeper access to past knowledge
Creative enabler: lecturers can remix and repurpose archived materials into fresh learning modules instead of recreating content from scratch
4. Corporate & Enterprise
Content: Marketing campaigns, product demos, training sessions, town halls
AI Potential: Auto-tagging by product/brand, compliance detection, instant retrieval
Value:
Saves costs by reusing content instead of re-producing
Preserves institutional knowledge for onboarding and training
Strengthens compliance and legal defense with retrievable records
Interoperability: enriched metadata integrates with existing DAM, CRM, and HR systems, ensuring archives work across business platforms rather than staying siloed

5. Sports & Entertainment
Content: Matches, concerts, theatre, esports tournaments
AI Potential: Automated highlights, athlete/artist recognition, fan-personalised playlists
Value:
Direct-to-fan monetisation through historic clip sales
Premium subscriptions for curated highlights
New data products for coaches, analysts, and broadcasters
Creative enabler: fans and broadcasters alike gain the tools to generate personalised highlight packages that deepen engagement
6. Healthcare & Life Sciences
Content: Medical imaging, surgical recordings, clinical trial videos
AI Potential: Disease/treatment tagging, pattern recognition, anonymisation
Value:
Hospitals build high-value training libraries
Pharma companies license anonymised datasets
Enriched archives accelerate diagnostics and reduce costs
Future-proofing: as AI diagnostics evolve, well-labeled medical archives will be positioned to support innovations we can’t fully predict today
7. Faith & Community
Content: Sermons, liturgies, choirs, oral histories
AI Potential: Transcription, live translation, theme tagging
Value:
Wider reach through streaming and subscription models
Preservation of cultural and religious heritage
Deeper community engagement with searchable archives

8. Surveillance & Security
Content: CCTV, dashcams, bodycams, drone footage
AI Potential: Person/vehicle/object detection, smart queries, anomaly spotting
Value:
Faster, more accurate investigations
Stronger compliance and accountability
Better claims validation for insurers
9. Social Media & Tech Platforms
Content: User-generated videos, livestreams, audio, images
AI Potential: Classification, moderation, recommendation, synthetic remixes
Value:
Higher ad effectiveness through better targeting
More engaging, personalised user experiences
New monetisation via derivative content and interactive formats
Why This Matters for Creative Possibilities
Enriched metadata doesn’t just unlock search. It becomes a creative palette:
Editors remix faster
Marketers launch smarter campaigns
Educators repackage knowledge
Fans engage with archives in new interactive ways
And as AI models feed on structured datasets, they open the door to innovations we can’t fully predict. After all, who would have imagined just a few years ago that we’d be generating images and video from text prompts? The same archives that sit idle today could fuel tomorrow’s creative breakthroughs.

Closing Thought
The challenge faced by that nature documentary company — petabytes of footage with untapped value — is echoed across every sector. What holds organisations back isn’t the lack of content, but the lack of metadata.
Metadata enrichment unlocks archives. It transforms them from silent warehouses into living, searchable libraries — where forgotten footage, old recordings, and hidden assets become discoverable, valuable, and monetisable. What once seemed like a cost centre becomes a growth engine.
It’s also about more than automation. Enrichment frees creators, researchers, and analysts from manual tagging so they can focus on storytelling, insight, and innovation. Standards and interoperability ensure enriched metadata works across systems today and tomorrow. And perhaps most importantly, enrichment future-proofs archives: tomorrow’s breakthroughs will demand richly tagged datasets — and only those who prepare now will be ready to seize them.
And speed matters. The organisations that act first to enrich their archives will be the ones to capture the earliest opportunities, set the pace, and define new markets before others can catch up.
