Emerging Trends in DAM
My colleague Ralph Windsor has recently written an article for French DAM software provider Wedia. Entitled ‘Emerging Trends in DAM‘, this in-depth piece takes stock of the latest developments in Digital Asset Management, primarily focusing on the advent of artificial intelligence and its impact on automation, personalisation, metadata management, and multi-lingual search. Ralph explains how AI technologies are now entering an early state of maturity, and how DAM vendors are subsequently beginning to venture beyond arbitrary and often disappointing ChatGPT-style integrations and incorporate genuinely useful AI-assisted functionality into their platforms.
“One of the most significant potential advances in DAM is the introduction of Artificial Intelligence. The level of innovation and speed with which the technology is progressing has been genuinely impressive. Meanwhile, the implementation of AI into the core workflows of DAMs remains quite basic and superficial. Flocks of vendors eager to ride the AI gravy train have rushed to incorporate auto-tagging, yet the results have been underwhelming, and very few DAM systems have advanced beyond the most basic AI offerings.” [Read More]
The article covers are a number of AI features that are already fairly well established within DAMs, such as autotagging, visual search and cropping, but also covers the emergence of a new breed of multimodal AI model that can be trained on multiple data sources (including the company’s own digital assets).
“Such a broad yet tailored AI model could not only recognize, catalog, tag and apply highly descriptive metadata to digital assets, but also retrieve assets based on meaning, and generate completely new content based on natural language prompts such as ‘show me corporate images that contain the company building’, or ‘create a brand-compliant and family-friendly marketing banner promoting our latest product’.” [Read More]
Ralph explains how the advent of customised LLMs (large language models) promises significantly more powerful capabilities and a refined understanding of context that will allow DAM users to not only search for assets using natural language queries, but also to generate on-demand, on-brand imagery such as product photographs, banner ads, and marketing material from scratch using simple text prompts.
The article continues by examining the current state of advanced multilingual search within DAM, and provides an overview of the most popular translation APIs. Ralph concludes by providing a number of insights and predictions on emerging trends in localisation, and how once again, AI is set to become a key tool in enabling the seamless and direct translation of marketing collateral across different regions and languages.
“Today, beyond a single source of truth for their assets, most brands are searching for a DAM system to manage the localization of their assets on two different levels. The first one is to localize the global design that differs from one country to the next. Users may need to adapt branding elements, replace assets or customize the text for specific product campaigns… Secondly, translation management represents a key milestone in marketing products in different countries, with each territory having its own set of unique regulations and challenges including language, layout and text size.” [Read More]
You can read the full article at the link below.
https://www.wedia-group.com/blog/emerging-trends-in-dam
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