DAM News Round-Up – 24th July 2023
A selection of DAM-related articles from around the web, sourced by the DAM News editorial team.
This recent post from DAM software provider 4ALLPORTAL takes a look at Master Data Management (MDM) and its numerous different incarnations and variants. The post outlines the key benefits and advantages of implementing central data management systems, and how they can consolidate your content and streamline your workflows by interacting with other platforms such as DAM, e-commerce, CMS (content management systems), and web-to-print solutions.
Digital Asset Management vendor Pics.IO present a selection of use cases for DAM cloud storage solutions across a number of different sectors, including not-for-profit organisations, universities, e-commerce, manufacturers, and design and marketing agencies. A useful introduction for anyone tasked with understanding and implementing their own cloud-based DAM solution. The article also includes information on brand asset management, file security, content distribution, and which aspects of Digital Asset Management are best suited to specific industries.
This hour-long webinar from licensing, royalties and rights management solution provider FADEL explores a number of tips and techniques for keeping track of your digital assets once they’ve been published. Featuring DAM specialist Frédéric Sanuy and VP of Product Management at FADEL Gregg Guest, this in-depth webcast covers a broad range of themes and topics including how to capture talent and rights information for media content, image matching to identify and analyse assets and rights, setting up content tracking to monitor your digital assets on websites and social media, and how to track and report violations due to missing rights or expiration.
DAM solutions provider MediaValet have recently announced the launch of facial recognition for their platform. The new feature allows users to manually tag an individual in any given image, after which the AI then automatically tags all assets that contain the same person. This facilitates a number of new search methods: Category, which finds images that feature a specific person in a specific context; Face, which can locate all images that contain a certain face; and Global, which searches all images that all have been auto- tagged with a person’s name. By default, facial recognition features are only accessible to authorised users, but any users or groups can be given access.
PhotoShelter is the latest DAM system to implement Visual Search. By using artificial intelligence, natural language processing and image recognition technology, digital assets can be searched without the need to rely on traditional metadata fields such as keywords and tags, improving the discoverability of otherwise hidden assets. Further information about PhotoShelter’s AI capabilities can be viewed here. As a reminder, visitors to the DAM News Vendor Directory can now filter their results by platforms that support visual search (as yet, only two vendors have specified this, although we know that other DAM systems support it).Share this Article: