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The Asset Discovery and Asset Curation microservices are designed to optimize the process of sourcing, managing, and utilizing digital media. By automating the search and organization of high-quality images, videos, and other media from extensive libraries, these tools also capture crucial metadata, such as photographer credits, enhancing the utility and traceability of digital assets.
These microservices significantly streamline media management by automating tasks that traditionally require extensive manual effort. For example, with these tools, a user can process 600 images in just 90 minutes—a task that would normally take about 12.5 days if done manually. This automation covers downloading, renaming, transferring, resizing, and categorizing media, along with thumbnail creation and database integration, resulting in a 99.6% reduction in time, fatigue, and associated costs.
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The discovery process searches platforms like Unsplash, Pexels, or Google Images for content that matches specified keywords and phrases from the user's extensive Topicmap. This step ensures that only relevant photographs are pulled for review. The system initially filters these images, preparing them for the subsequent curation stage by tagging them with metadata such as title and author name, and sorting them based on predefined criteria.
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The final decision on whether an image is included in a database relies on human curation, adhering to the “Yes, No, Maybe” pattern. Users review the pre-filtered images and vote 'Yes' to save and resize the image for various uses, 'No' to remove it from consideration, and 'Maybe' to revisit the decision later. This process ensures that the final content selection aligns with qualitative standards and specific project needs.
The "Yes, No, Maybe" pattern adopts a human-centric strategy that streamlines the content development process. By automating mundane tasks, this approach frees individuals to focus on essential decision-making, releasing them from repetitive duties and allowing for more effective allocation of their time.
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Integrating Asset Discovery and Curation microservices into content management systems brings several benefits. Organizations can scale their content strategies more effectively, significantly reduce operational costs, and enhance the creative process by freeing up human resources from tedious tasks. These tools not only improve efficiency but also maintain high standards of quality and relevance in the digital assets used, paving the way for future advancements in automated content management.