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Composable Enterprise

Asset Management for Media

The Challenge for Media Companies

 

Media companies like studios, broadcasters, and digital platforms are home to vast libraries of video, audio, images, and scripts, yet most struggle to find and reuse these valuable assets.

 

Assets and metadata live in siloed, distributed systems with inconsistent formats and terminology, and much of the value is locked inside unstructured content.

 

As a result, teams waste hours searching for the right content while opportunities to engage audiences and monetize content slip away.

 

Coforge's Solution

 

Our AI-powered asset management solution for media turns your siloed content into a unified, consistent resource that your teams can view and explore through a simple, conversational interface.

 

It connects scattered media assets and metadata and delivers actionable insights so you can streamline workflows, deepen audience engagement, and unlock monetization.

 

How It Works

 

The solution brings together your scattered content, automatically tags and catalogs it, and enables your teams to explore it with a simple, plain-language query. Behind the scenes, a knowledge graph and generative AI do the hard work.

 

A unified, connected view of all your content
At the core is a knowledge graph that connects your media assets to the people, places, topics, and rights associated with them, rather than storing them in separate lists. It pulls together content and metadata from across different systems and reconciles inconsistencies to give you a consistent, connected view of everything you hold.
Built automatically from your unstructured content
Generative AI does the heavy lifting of building and enriching that view. It reads unstructured content (text, images, and video) and automatically identifies the people, relationships, and details within it. You no longer need to manually tag and catalog your archive; the solution draws meaning from the content you already have.
Find anything through simple conversation
Your teams explore the library by asking questions in plain language. Generative AI translates each question into a precise query behind the scenes, then translates the answer back into natural language. With multi-language support, anyone can find content without learning a query language or knowing how the data is structured.
Answer complex questions with simple queries
Because everything is linked, the solution can follow a chain of relationships to easily handle multi-step queries — like finding every clip of a particular person, shot in a specific location, that you hold the rights to use. These complex queries surface content and connections that ordinary keyword search would miss.
Extensible and ready to grow
The solution integrates with your existing systems and with external ontologies (standardized vocabularies for describing content) and new domains and sources can be added over time. The underlying models are managed and improved on an ongoing basis, so the solution keeps pace as your library and workflows evolve.

Business Impact

 

  • Reduce the time spent searching for content by up to 90%, so your teams spend their hours creating instead of hunting.

  • Unlock the value of your existing archive by making every asset discoverable and reusable.

  • Streamline media workflows end-to-end, from content discovery through production and distribution.

  • Deepen audience engagement and open new monetization opportunities across reuse, licensing, and rights.

  • Reduce manual cataloging and tagging effort with automated, AI-driven content organization.

Why It Matters to Media Companies

 

Our media asset management solution enables your teams to find the right content in seconds, not hours. It turns a scattered archive into a connected, discoverable, revenue-ready asset. And, it’s backed up by Coforge’s media domain expertise and experience using knowledge graphs and generative AI to power next-generation workflows.