DAM News Round-Up – 12th May 2025
A selection of DAM-related articles from around the web, hand-picked by the DAM News editorial team.
Survey Reveals Authenticity Crisis in Visual Content
A recent survey from DAM tool vendor Santa Cruz Software reveals widespread exposure to inauthentic visual content, with 88% of consumers and 74% of designers encountering it frequently. Additional results show that trust in visuals is falling, yet authenticity appears to boost consumer confidence and loyalty. Most designers seek robust standards, such as metadata and watermarking, to ensure transparency. With AI complicating trust, the industry backs solutions like Content Credentials to safeguard design integrity. The report stresses that authenticity must become a foundational norm, not a luxury. A free infographic presenting the survey’s findings is also available to download (no registration required).
5 ways a DAM platform helps video teams work faster and smarter
This blog post from Orange Logic‘s Dan Savickas highlights how a Digital Asset Management platform streamlines video production by centralising assets, reducing version confusion, enabling AI-powered search, and improving collaboration. For media teams facing tight deadlines and complex workflows, DAMs can boost efficiency, ensure content reuse, and support faster approvals. With the addition of integrated tools and metadata management, they help deliver high-volume content accurately and on time. In today’s demanding production environment, the article explores how getting the right DAM is essential—not just helpful.
In her most recent article, author and taxonomist Heather Hedden clarifies the distinction between taxonomy facets and attributes in metadata management. Heather explains, while both act as filters in search and navigation, facets organise controlled vocabulary concepts, whereas attributes are data values describing specific properties. Though they overlap, especially within ontologies, each serves distinct roles: facets structure content for discovery, attributes provide detailed metadata. The author advocates clear definitions to avoid confusion and highlights how combining taxonomies with ontologies can enhance semantic precision and search effectiveness.
10 questions for a startup : Overlai
In his latest in a series of start-up interviews, Paul Melcher puts a number of questions to filmmaker Luke Neumann, creator of Overlai – an app that helps creators protect content from unauthorised AI training. Luke’s responses include an overview of how the software operates, details of their free iOS app that allows creators to apply IPTC/C2PA copyright protections, and how their ‘content poisoning’ feature can be implemented whilst avoiding potential legal issues. Overlai uses enhanced metadata, watermarking, and blockchain to assert rights and offers optional AI interference tools. Aimed at all users, its goal is to defend human creativity and promote ethical AI development through transparency and control.
Find what you need – Fast: How to master search in a growing content library
Many content management frustrations stem not from poor DAM search tools, but from weak metadata, inconsistent tagging, and unclear taxonomy. This recent blog post from QBank outlines a number of strategies for smarter searching—like combining filters and Boolean logic—and stresses that structured, weighted metadata and consistent governance are essential. Key questions to consider include whether your metadata fields are relevant, whether your taxonomy reflects how your team searches, and whether your assets are sufficiently tagged. The article highlights how even small improvements can empower teams to work faster, improve asset reuse, and reduce content duplication, ultimately fostering efficiency, collaboration, and better brand consistency.
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