DAM News Round-Up – 12th February 2024
A selection of DAM-related articles from around the web, sourced by the DAM News editorial team.
Unveiling the evolution of AI within the DAM environment: from past to present and beyond
DAM vendor Wedia provide a free e-book that explores the evolution of artificial intelligence, and how features such as metatagging, facial recognition and duplicate asset detection have found their way into our DAM systems. The topic of using generative AI to create brand new content is also covered, along with some predictions for the future of digital marketing technology. The e-book is free to download (email registration required).
6 Reasons DAM Implementations Fail
Digital Asset Management platform provider ResourceSpace highlight six common reasons why a DAM initiative might fail. As logic might suggest, the first point of failure is not having an implementation strategy. Additional reasons include not having a so-called DAM champion to take responsibility, failing to secure buy-in from senior stakeholders or executive staff, not providing sufficient resources to promote and support user adoption, poor implementation, and not having an ongoing monitoring, maintenance, or review strategy.
Categories Or Tagging? Differences In Taxonomy And IA
If you’ve ever struggled understanding the differences between taxonomy and information architecture, this post from UX (user experience) specialist Henning von Vogelsang presents some interesting insights on the nature of organising and categorising information. Henning combines a pragmatic and somewhat anthropological approach when describing ontology, taxonomy, categorisation, tagging and metadata, along with detailed and practical descriptions of their usage. A worthwhile read for any involved in DAM, PIM or knowledge management.
Meta announces support for IPTC metadata in Generative AI images
IPTC, the global standards body of the news media, covers Meta’s announcement that the company will be using IPTC embedded photo metadata to denote AI-generated images on its series of platforms that include Facebook, Instagram and Threads. Meta’s President of Global Affairs Nick Clegg (yes, that one) states that “the invisible markers we use for Meta AI images – IPTC metadata and invisible watermarks – are in line with PAI’s best practices“. The PAI (partnership on AI) is an independent non-profit coalition to promote positive AI outcomes for people and society.
AI Copyright Infringement: People vs. Machines
Digital marketing strategist Chad S. White provides a critical and thought-provoking overview of the legal case against AI. Alluding to the current wave of copyright claims against platforms such as ChatGPT, DALL-E and Midjourney, Chad asks whether we should be handicapping AI technology for emulating what humans do – gathering information to inform responses – because they do it more efficiently. The article draws numerous parallels between the rise in AI content automation and spam emails, phone calls, and mass surveillance, suggesting that AI is susceptible to the same insidious and unethical drivers, and that consumer and copyright protection via legislation and regulation should be considered crucial.
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