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Maria, a dedicated marketer in a Finnish company, was entrusted with creating a presentation and newsletter for an important product launch, which was also the unveiling of the company's revamped brand. However, the absence of a media bank or Digital Asset Management (DAM) system meant she had to deal with disorganized digital files scattered across various storage mediums.

While preparing, Maria mistakenly used an outdated logo and struggled to find the right product images among a maze of unorganized files. This oversight was clear during her presentation and in the newsletter sent to thousands, causing embarrassment and potentially damaging the company's reputation.

In the vast world of digital imagery, a lesser-known yet immensely influential force is silently shaping our interactions with pictures and photos. This force is metadata, the invisible ink that tells the real story behind every image. It is the data about the data, the behind-the-scenes guide that allows us to truly understand the importance and context of a photograph. With the right management strategies in your content workflow and a robust Digital Asset Management (DAM) system, the process in utilizing metadata becomes streamlined and efficient.

In the rapidly evolving digital landscape, Digital Asset Management (DAM) systems are undergoing a transformative shift, largely driven by Artificial Intelligence (AI). As businesses grapple with vast amounts of unstructured data, AI offers a beacon of efficiency, accuracy, and innovation. Let's delve into how AI will redefine DAM workflows in the near future and explore this through illustrative use-cases.

In a world where digital marketing is constantly evolving, it is important to stay updated with the latest tools and technologies. One such technology making significant strides is artificial intelligence (AI), and in particular, language models like ChatGPT. This article has been partly written in collaboration with ChatGPT, my assistant whom I call Bentley.