The New Solution Is Powered by the Company’s Image and Video Management Platform, Which Offers a Unique Set of Asset Manipulation and Delivery Capabilities and Manages over 20 Billion Assets
Cloudinary has announced the availability of its Digital Asset Management (DAM) solution, an end-to-end DAM developed to help organizations realize the full value of their digital media assets and deliver engaging end-user experiences through on-the-fly asset manipulations and optimization, AI-based search, and efficient workflows. The new solution is powered by the company’s image and video management platform, which offers a unique set of asset manipulation and delivery capabilities and manages over 20 billion assets, including 25 million new assets every day, for more than 325,000 users worldwide.
The Cloudinary DAM solution removes functional silos and bridges the gap between asset management and delivery, enabling creative, marketing and development teams to maximize the value of assets, streamline asset workflows and optimize the end-user experiences across all touchpoints. Cloudinary’s cloud-scale architecture supports cross-functional collaboration without any loss in performance, and its robust APIs make integrations with different applications easy.
Read More: The Growing Role of Salesforce in the Marketing Attribution Ecosystem
Cloudinary’s end-to-end DAM solution offers several features for marketers and developers, including:–
- Efficient and Rapid Upload: Drag and drop any asset type in bulk to the media library or upload assets from various external sources including Facebook, Instagram, Google, Dropbox, and Shutterstock. Easily embed Cloudinary’s Upload Widget into any application or website for greater flexibility.
- Easily Extend and Integrate with Your Workflows: Cloudinary’s APIs and integrations allow you to use your CMS, PIM systems and any project management tools to better streamline the creation to delivery process.
- Customizable Metadata and AI-based Content Analysis: Organize assets into folders with role-based permission control, leverage AI-based content analysis for automatic tagging of images and videos to make the library easy to search and browse. Easily extract and store existing metadata and add custom metadata.
- Advanced Search and Discovery: Leverage advanced search features with any combination of attributes and filters, including asset type, size, color, tags, metadata, and browse search results displayed as visual thumbnails with associated metadata and tags.
- Dynamic Manipulations and Performance Optimization: Dynamically manipulate images and videos using simple controls, and easily apply enhancements, filters, and effects. Optimize performance for every device and network by automatically choosing the most efficient format, adjusting quality compression, and resizing and cropping images to serve the most optimal version.
Users can integrate with content management systems (CMS), product information management (PIM) systems and any project management tools, enabling a connected journey from asset creation and organization to manipulation and end-user delivery.
Read More: Brainshark Unveils New AI-Powered Engine to Elevate Sales Coaching and Readiness
