The future of digital asset management: Looking ahead to 2021

Looking ahead to 2021, we explore the future of Digital Asset Management (DAM) and the challenges and solutions that lie ahead. With the increasing importance of cloud technology and the need for remote work capabilities, DAM systems will need to prioritize user experience, simplify interfaces, and enhance brand management to ensure efficiency and consistency. Discover what's in store for DAM in the coming year.

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ResourceSpace now on G-Cloud 12

We're excited to announce that ResourceSpace is now on G-Cloud 12, making it easier for public sector procurers to buy certified cloud-based Digital Asset Management services software. G-Cloud 12 is the UK Government's cloud-based services procurement platform, ensuring credibility and transparency. Visit the Digital Marketplace to learn more and find us by name or Service ID (999891725028381).

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Make uploading easier with a digital asset management system

Make uploading easier with a Digital Asset Management System. With ResourceSpace, uploading files is quick and easy - just drag and drop into the upload queue. Metadata ensures resources can be found and used effectively, and non-administrator uploads are queued for approval.

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Version 8.6 - styling options, improved UI, image bank search

Introducing ResourceSpace version 8.6 with improved UI, customizable styling options, and image bank search. Discover the new features, including custom colors, larger preview images, and a PDF viewer. Plus, learn about the added functionality to comply with GDPR regulations and the integration with Google Cloud Vision for automated tagging. Read more and watch the overview video on our version history page.

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Intelligent imagery: how AI will change the future of DAM software

Intelligent imagery is the future of DAM software, as AI and machine learning revolutionize file sharing workflows. ResourceSpace is incorporating groundbreaking capabilities into their software, allowing for automatic identification and tagging of objects and faces within images. This level of automation reduces the level of knowledge and training required to effectively use DAM technology, making it more intuitive and efficient for professional organizations.

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