A leading greeting card manufacturer, faced a common challenge among large companies – managing a vast library of digital assets, including images and videos. Their design and creative team used to receive numerous requests from sales and marketing teams to create new designs, photoshoots, and presentation materials. This resulted in a slow and inefficient workflow, with a significant amount of time spent on recreating existing assets.

To solve this problem, the head of the design and creative department decided to adopt a Semantic Image Search (SIS) solution. With SIS, the company was able to put all their images from photoshoots and designs in one centralized database that can be accessed by anyone within the company. This allowed the sales and marketing teams globally to help themselves to existing images and other digital assets without waiting for the design team to create new ones.

In addition, the company used SIS to streamline their PowerPoint presentations. The business teams were able to reuse previous designs and shorten the time it took to create a new presentation. With SIS, the creative team was no longer overwhelmed with requests for new designs and photoshoots, and they were able to focus on creating new and innovative designs for upcoming products.

SIS has also helped the company to keep track of their digital assets better. They could now easily search for images and videos based on specific criteria such as tags, keywords, and metadata. This made it easier for teams to find the right image for a particular product or campaign, saving them significant amounts of time and effort.

Overall, SIS has transformed the company’s workflow and increased productivity across the company. The head of design and creative who adopted the solution has received great feedback from teams across the organisation, who appreciate the ease of use and time-saving benefits of the system.

SIS AI works similarly to how a librarian organizes books in a library. Just as a librarian uses their knowledge and experience to categorize books based on their content, SIS AI uses a powerful tool called Image Language Interpreter (ILI): A cutting-edge AI system that uses advanced language models to interpret and understand the content of images, to organize images based on their content. Image Language Interpreter is like a librarian who can “read” images and understand what is depicted in them.

When a new image is added to the system, SIS AI uses Image Language Interpreter to “read” the image and assign relevant tags to it based on its content. This allows the image to be easily found and retrieved later using natural language search terms.

For example, if you are looking for an image of a beach, you can simply type “beach” into the search bar, and SIS AI will use Image Language Interpreter to find all images that have been tagged with the keyword “beach”. It’s like having a librarian who knows exactly where every book is located in the library, without having to manually search through shelves.

Training ILI, an AI system that can understand images and text together, is a lot like teaching a child. Just like a child needs to learn from many different sources to understand the world around them, ILI needs to learn from a huge variety of images and their associated text descriptions.

For example, just as a child might learn that a furry, four-legged animal that barks is called a dog after seeing many different pictures and hearing people say the word “dog,” ILI also learns to associate images of dogs with the word “dog” through exposure to many examples. However, instead of relying on a single teacher or parent, ILI learns from a vast collection of images and their associated text, allowing it to recognize and understand an incredible range of objects and concepts.

Overall, SIS AI’s use of ILI helps to streamline the process of organizing and retrieving images, making it faster and easier for users to find what they need.