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Artificial intelligence powered digital asset management: Current state and future potential

Author

Listed:
  • Huddart, Kristina

    (Huddart Consulting, UK)

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.

Suggested Citation

  • Huddart, Kristina, 2022. "Artificial intelligence powered digital asset management: Current state and future potential," Journal of Digital Media Management, Henry Stewart Publications, vol. 11(1), pages 6-17, September.
    • Handle: RePEc:aza:jdmm00:y:2022:v:11:i:1:p:6-17
    as

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    More about this item

    Keywords

    artificial intelligence; machine learning; digital asset management; asset recognition; metadata; workflow management; data and analytics;
    All these keywords.

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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