AI is transforming DAM from a storage system into a workflow engine, speeding up asset production, channel-ready variants while keeping governance, permissions and human oversight intact.
(4) Why DAM Migrations Take So Long and Cost More Than You Expect | LinkedIn
“If it’s just moving files from one system to another, why can’t this be done in a week?” We hear this question on almost every migration project. Technically, the file transfer itself can happen quickly.
Digital Asset Management (DAM) and Product Information Management (PIM) are two key components of any modern marketing and sales strategy. In this article, we explore the top 8 reasons why companies should integrate their DAM and PIM systems Find out how the integration of these important systems can give your company a competitive edge in the digital marketplace. #PIM #DAM #MarTech
(4) What the Great AI Divergence Means for Digital Asset Management | LinkedIn
Digital asset management (DAM) teams are under more pressure than ever: shrinking staff, rising expectations, rapidly evolving platforms, and a growing belief that AI should be able to replace human work. Many DAM leaders are being asked to move faster with fewer resources, while also figuring out h
Efficiency Isn’t Free: The Ethical Cost of AI in DAM
This article has been contributed by Asset Bank's Product Manager Paul Mulvee.
Every major shift in Digital Asset Management has involved trade-offs. Cloud storage forced organisations to rethink access control, SaaS platforms accelerated adoption but raised questions about data ownership, a
DAM People Were Preparing for AI Long Before Anyone Understood Why
This article has been contributed by DAM and data governance specialist Laurent Groult as part of our series on DAM’s AI Dilemma: Efficiency vs. Ethics.
The Invisible Discipline
For years, digital asset managers existed in a strange place inside the enterprise. Everyone needed them, but v
Laurent Groult: The Quiet Professionals Who Hold the Key to AI Success
There's a certain satisfaction in reading an article that articulates what many in the DAM community have felt but struggled to express. This recent contribution from digital transformation leader Laurent Groult captures a pivotal moment: the realisation that the skills DAM professionals have been
Von der Bestandsaufnahme zur Roadmap: Wie eine Gap-Analyse Ihr DAM auf das nächste Level hebt - DAM United AG
Viele Unternehmen nutzen ihr Digital Asset Management (DAM) täglich – aber oft unbemerkt mit Reibungsverlusten. Assets sind schwer auffindbar, Prozesse zu
The Act That Changes Everything: Why DAMs Are Now Liable for Metadata
This article has been contributed by Paul Melcher, visual tech expert and founder of online magazine, Kaptur.
January 2027. A Digital Asset Manager is about to break the law. Their crime? Trying to optimize the database. By stripping the metadata from a derivative image, they are about to br
Why the Disconnect and Dissonance of the DAM Fragmentation Crisis Matters
This article has been contributed by Dana Reijerkerk as part of our series on the DAM Fragmentation Crisis.
Since the early 2010s, digital asset management software changed from being mostly onsite storage to cloud storage with other systems integrated to help with digital rights management,
Effective Risk Management strategies when using AI for DAM
At ResourceSpace, we prioritise the ethical use of AI in Digital Asset Management. In our latest guest blog, expert Ralph Windsor explores effective risk management strategies for AI implementation, highlighting the importance of thoughtful adoption amidst vendor hype. Discover how to harness AI's potential while safeguarding compliance and privacy.
KI und Kennzeichnung: Wie geht das? :: Die Bildbeschaffer
In 9 Monaten, wenn der AI Act steht, müssen Sie Ihren visuellen Content kennzeichnen, sobald er mit KI erstellt oder auch nur bearbeitet wurde. Das betrifft schon Bilder, die Sie in Photoshop maskiert haben. Als Lösung (eigentlich für alle Bilder) kristallisiert sich C2PA heraus. Was dahinter steckt und wie leicht das geht, beschreiben wir in diesem Artikel.
Why standard metadata schemas are not enough anymore
Discover why standard metadata schemas fall short and how adaptive metadata can revolutionize your content management system for better AI, automation, and global collaboration.
Bastian Metz, COO at Sternwald Systems, demonstrates how editorial teams can streamline their workflows by bringing together story planning, content discovery, and asset organization. With over 25 years of experience supporting publishers across Germany and Switzerland, Sternwald has built solutions that meet the evolving needs of modern newsrooms.
Unlocking the value of your institutional knowledge using the content integrity model
Embarking on a digital transformation project is no small feat, with countless moving parts and dependencies to manage. Among the systems, processes, resources, and budgets, content is one of the most critical elements to get right. The success of your initiative depends on the quality of that content. After all, what good is an AI-powered […]
Is it Artificial Reality or Intelligence | LinkedIn
1. Context: The CPG Challenge CPG enterprises operate on tight timelines and multi-layered supply chains—manufacturers, brand owners, agencies, co-packers, and retailers must all coordinate precisely.
Metadata in the Age of AI: From Creation to Curation
This post has been contributed by DAM, metadata, content operations and AI specialist Erin McElrath, as part of our editorial series on AI: The End of Metadata?
Artificial intelligence is rapidly reshaping the way organizations create, manage, and retrieve digital content. Within Digital Ass
Metadata in the Age of AI: From Creation to Curation
A selection of DAM-related articles from around the web, sourced by the DAM News editorial team.
Ralph Windsor: DAM and AI using Digital Asset Supply Chain Data
In case you missed it, Ralph Windsor’s latest article for DAM provider Wedia critiques the superficial use of AI within DAM and highl