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Artificial intelligence powered digital asset management: Current state and future potential
Journal of Digital Media Management,
11
(1),
6-17
(2022)
Abstract
This paper examines the current application and primary use cases for artificial intelligence (AI) in digital asset management (DAM), what to consider before diving into AI and the potential future applications of AI in DAM and content operations. To supplement the extensive research conducted for this paper, the paper provides commentary from 12 DAM vendors who were interviewed regarding the current state of AI in DAM as well as future innovations being considered by DAM suppliers. The review finds that the application of AI by DAM vendors is fragmented and still in an early experimental stage. Use cases for DAM end users are often industry and asset-type specific, making it difficult for DAM vendors to anticipate which AI integrations will provide the most value to their various customers. Despite these challenges, this paper concludes that the advanced adoption and application of AI will bring new value to the creative, content and marketing industries in ways yet to be seen.
Keywords: artificial intelligence; machine learning; digital asset management; asset recognition; metadata; workflow management; data and analytics
The full article is available to subscribers to the journal.
Author's Biography
Kristina Huddart is an independent digital asset management (DAM) specialist and consultant who helps brands and cultural heritage organisations to optimise their DAM practices. Working with clients across diverse industries, she specialises in building strong, successful DAM operations with the right combination of people, process, data and technology. Kristina is also a thought leader, author, speaker and educator.
