Interview with Stefan Born from Vertesia
With nearly three decades of experience in DAM under his belt, including extensive tenure at global advertising network TBWA/Omnicom, Stefan Born brings a seasoned perspective to the evolving DAM landscape. Now serving as Senior Director of AI Solutions at Vertesia, Stefan is working to fundamentally reimagine how organisations approach content management in an era of unprecedented digital proliferation.
In the latest interview in our series, Stefan addresses the foundational challenges that continue to plague DAM implementations across industries. His assessment is direct and unflinching:
“A DAM is only as good as its metadata; without it, you aren’t building a library—you’re building an ‘asset graveyard.’ A file only becomes an ‘asset’ when the unstructured data is wrapped in a structured metadata form.” [Read More]
Stefan’s concerns extend beyond taxonomy and tagging protocols. He identifies a persistent operational burden affecting DAM professionals across organisations: at least 20% of their time is consumed by administrative tasks such as renaming files, completing forms, and managing metadata – work that must be completed in addition to their core responsibilities. This challenge, Stefan argues, has relegated many DAM librarians to the role of “taggers” rather than strategic partners within their organisations.
Looking ahead, Stefan envisions a significant paradigm shift in how DAM systems function. He describes a move away from traditional folder hierarchies toward what he terms a “DAM lake” – a flat architecture where assets are contextually surfaced based on metadata relevance rather than residing in fixed locations. This future includes autonomous governance agents capable of handling compliance requirements, AI systems that automatically identify brands and products within visual content, and platforms that can identify narrative patterns across years of archived material.
“The future of DAM isn’t about people managing assets; it’s about the system managing itself.” [Read More]
Stefan’s vision centres on elevating DAM professionals from administrative roles to strategic positions as “AI solution providers,” architecting intelligent content ecosystems that operate autonomously whilst demonstrating measurable organisational value.
You can read the full interview via the link below to explore Stefan’s insights on metadata management, the challenges of manual tagging at scale and his blueprint for autonomous DAM systems powered by artificial intelligence.
https://digitalassetmanagementnews.org/dam-news-interviews/stefan-born/
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