However, among the most prominent benefits are: And the DAM industry is still coming to grips with them, as that’s the nature of AI. While some of the benefits for DAM with respect to Generative AI are clear and visible, such as operational efficiency, workflow improvements, enhanced user experience, and better ROI, certain benefits are still new (and evolving). Here’s a classification of the artifacts that can be created for superior content experiences. Moreover, Gen-AI augments creative tasks through human collaboration by instructing the AI generator to strengthen its behavior by giving commands such as “more like this” or “less like this.” Similarly, the process can be automated as well by carving out the parameters for production by human users for instance, by setting the brand guidelines for creating automated copies. Besides, the artifacts can be entirely new or can be an improvement of an existing one. Another exciting aspect of Gen-AI creations is that they can create within the same type or between two different kinds of artifacts, i.e., creation can be from image to image or from image to narrative. The artifacts would not be restricted to images but would include videos, speeches, narratives, and product designs. Through this, Gen-AI has the potential to create new intellectual property.īy learning from existing artifacts, Gen-AI will produce new, realistic, never-made-before artifacts, taking cues from their training data, but does not create the same design twice. Generative AI artifacts comprise high-quality images, words, and designs, including their creation and basic functions (such as editing, color correction, and re-sizing). It will bring significant changes to the DAM market, something that did not exist before, and DAM providers must be prepared to face and embrace them. ![]() The process would be straightforward, and the manifested image would not even be needed to be stored but will be dynamically rendered. Changes that need a lot of expertise by a professional can be carried out through Gen-AI, such as altering expressions or ethnicity of humans. However, Gen-AI textual interface can be used to instruct DAM about how users would want to alter an image kept in the archives. ![]() The current capability of DAM is limited for instance, in the case of images, only basic alterations such as flipping, re-sizing, cropping, and a few other things are possible. From being a master repository of digital assets, it would add another dynamic capability and may also find itself in competition with creative tools and technologies, as it will expand DAMs ability to modify assets to several notches. It will increase the scope of their solution. Generative AI has the ability to create images from scratch and those that don’t yet exist hence has the potential to create intellectual property.ĭAM vendors will need to integrate with Generative AI not only to get an edge over their competitors but also if they are to match customers’ expectations. Rich media including videos, can be created at the click of a button. In fact, many variations can be created instantly, and many more options than before will be available for A/B tests. The real impact will be customizing an infinite number of visuals, repurposing assets, rebranding, reaching new markets, conducting A/B testing, and making data-driven decisions. ![]() Generative AI has taken content creation to the next level, as performing a range of activities that needed human intervention to generate content, such as writing emails, social media posts, images, poems, formulas, etc., can now be carried out using trained data.Īs almost all digital assets today are born digital, Generative AI will create assets in the digital world but at far greater speed and scale. Content creation in various forms is at the heart of Generative AI it is different from other forms or uses of AI, such as self-driving cars or data analysis. Generative AI uses AI algorithms to produce outputs in the form of images, codes, videos, data, and 3D representations based on the data on which they are trained.
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