Feature Article: DAM, Metadata and AI: From Abstract to Essential
As part of this month’s editorial theme, DAM analyst, consultant and founder of The DAM Playbook, Mark Davey, explores the history of metadata. DAM, Metadata and AI: From Abstract to Essential takes us on an engaging journey from metadata’s lowly beginnings in the filing cabinets of the print era through to early digitisation, the emergence of web-based DAM systems, and ultimately on to the advent of artificial intelligence and automated metadata creation using machine learning, natural language processing (NLP) and object recognition.
“Automated metadata generation is one of the most significant advancements. AI algorithms can now analyse images, videos, and text to automatically generate relevant metadata tags. This not only saves time but also ensures a higher level of accuracy and consistency. Image recognition technology, for instance, can identify objects, scenes, and even emotions in photographs, providing rich metadata without manual intervention. Solid ethics and governance around this personal data is an absolute must-have.” [Read More]
Mark also covers the key challenges associated with metadata management and provides a number of practical tips and strategic insights that include regular auditing, implementing controlled vocabularies, providing adequate user training, and fostering a strong relationship with your DAM vendor in order to develop an effective metadata management strategy.
You can read the full article at the link below.
https://digitalassetmanagementnews.org/features/dam-metadata-and-ai-from-abstract-to-essential/
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