by Veronika Altenbach
At a time when digital content is becoming increasingly important, digital asset management (DAM) systems have become indispensable tools for companies of all sizes. They enable the efficient management of a wide range of digital resources, including images, videos, audio files, documents, graphics and more. As the amount of digital content continues to grow, so does the effort required to maintain it properly. This makes it increasingly challenging to ensure efficient management with the available capacities. This is where artificial intelligence (AI) comes in to increase the efficiency and effectiveness of companies in dealing with digital content.
One of the challenges of managing digital assets is creating and maintaining metadata for each asset and locating it in an extensive pool of digital media. This is where AI can make a decisive contribution by automatically generating relevant metadata. This makes searching and organizing much easier and saves employees' time.
AI can help with the recognition of content in images and videos in particular. Image recognition algorithms are able to extract information about the content of images, such as objects, colors, faces and more. They also automatically recognize which objects can be seen in an image and save this information as metadata.
Automatic keywording categorizes your digital media in the best possible way to make it easy to find. AI models use text recognition to identify text in images and natural language processing (NLP) to recognize keywords in documents. Recognition of well-known brands, identification of background, foreground and accent colors are additional benefits. The automatic generation of image descriptions, e.g. for alt texts, also enables improved accessibility on websites.
Dynamic translation of metadata in real time enables fast and effective multilingual content processing. This allows companies to expand their presence in global markets without compromising quality. At the same time, AI ensures consistent translation quality by maintaining a consistent style and precise terminology. This ensures brand consistency across different assets.
AI-supported multichannel analysis optimizes the search in the media archive. It searches files for people, projects, visible and spoken text and other criteria. In addition, the AI can recognize speakers and scenes in videos and automatically creates subtitles in different languages.
Another area in which AI can help with the management of digital assets is content identification. AI can check whether digital assets are protected by copyright and manage the corresponding rights. This can help to avoid copyright infringements and ensure that only licensed content is used.
AI can also be used to create personalized recommendations for users within a DAM system. Based on users' previous behavior and search queries, AI can suggest relevant assets that may be of interest to them.
From automated metadata generation to precise content identification and efficient rights management. A DAM system unleashes the full potential of your digital content while minimizing administrative effort.
Stay competitive by managing digital content efficiently. But how do you know if your organization needs a DAM system? Find out in this post what the five signs are.
More
Learn how a software implementation partner not only helps you select the right solution, but also optimizes costs and ensures quality at the same time – even during the operational phase. Your successful projects start here.
More
Your creative works are invaluable, but how can you ensure that your images and videos aren't used illegally or distributed without your permission? In our post, we'll show you how to effectively protect your digital content – in the form of images or videos – while increasing the effectiveness of your content.
More