White paper: "AI in MAM Systems"

This white paper addresses the growing importance of image files for companies and the opportunities they afford them for coping with the rapidly growing volumes of data.Because classic tagging is reaching its limits and will soon be obsolete. Image recognition software and AI-driven keywording are increasingly becoming the focus of image data management.

The white paper addresses not only the challenges of managing media data and the limitations of today’s standards, but also the potential of new, previously unavailable information. Because AI enables the combination of many recognition services, such as text or object recognition, and therefore makes more information available in MAM systems than before. Since this density of information also benefits complementary systems such as product information systems (PIM system), processes such as linking images to items are also illuminated in more detail in the white paper. Because the usage examples of image data within companies are numerous and varied, and each scenario places its own requirements on participating systems and persons.

Manufacturers and retailers, for example, naturally manage large quantities of image files, both for internal administration and in the

context of product presentations in online shops, print catalogues or social media channels. Well-known brands are often affected by brand piracy. It is therefore very important for them to always keep a close eye on the market, so that they can respond promptly to such cases. But even insurance companies have high volumes of images, due to initial photographs of damage, for example

The applications of image data differ greatly, and the current models and technologies on the market are just as varied – be it manual or semi-automatic tagging or computer vision, pre-build or custom models. Different metadata standards and the variety of solutions and possibilities for combining technologies make it difficult to keep track. The published white paper not only outlines the various concepts in an easy to comprehend way, but also aims to provide companies with assistance. Particularly when it comes to finding out which concepts best fit their existing needs, which internal roles need to be defined, and what significance the use of image data will have for the company in the future. On the path to digitisation, having to face up to the potential of AI seems unavoidable.

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